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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Sustainability</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain.</abbrev-journal-title>
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<issn pub-type="epub">2673-4524</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frsus.2026.1734957</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Food waste in Labuan Bajo: a baseline study of food waste in a priority tourism destination in Indonesia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bachtiar</surname>
<given-names>Eva</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Nur</surname>
<given-names>Alfian Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Lasmana</surname>
<given-names>Grace Vanessa</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Lipu</surname>
<given-names>Bergita Gusti</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Simamora</surname>
<given-names>Hosiana</given-names>
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<contrib contrib-type="author">
<name>
<surname>Rudyan</surname>
<given-names>Peter Xandya</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Panggabean</surname>
<given-names>Romauli</given-names>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Cholidah</surname>
<given-names>Sri Noor</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><label>1</label><institution>Garda Pangan</institution>, <city>Surabaya</city>, <country country="id">Indonesia</country></aff>
<aff id="aff2"><label>2</label><institution>World Resource Institute Indonesia</institution>, <city>Jakarta</city>, <country country="id">Indonesia</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Eva Bachtiar, <email xlink:href="mailto:eva@gardapangan.org">eva@gardapangan.org</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-04">
<day>04</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>7</volume>
<elocation-id>1734957</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>24</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Bachtiar, Nur, Lasmana, Lipu, Simamora, Rudyan, Panggabean and Cholidah.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Bachtiar, Nur, Lasmana, Lipu, Simamora, Rudyan, Panggabean and Cholidah</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-04">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Food waste is a growing environmental, nutritional, and economic concern, particularly in tourism-dependent regions. Labuan Bajo, a priority tourism destination in Indonesia, faces challenges in food waste management due to seasonal tourist influx, limited infrastructure, and reliance on outsourced food. This study aimed to comprehensively assess food waste generation, composition, destinations, recovery potential, and associated impacts across households and non-household sources, including hotels, restaurants, food stalls, caf&#x00E9;s, traditional markets, and tourist boats. Data were collected through direct weighing, surveys, interviews, and secondary sources. The total food waste was estimated at 4,836 tons, with non-household sources contributing slightly more than households (51%). Most waste was repurposed as animal feed (58.9%), while 25.4% went to landfill and 8.7% was disposed of at sea. Edible parts accounted for over half of the waste (55%), with a notable portion recoverable for human consumption (24%). Drivers of food waste included consumer preferences, cultural habits, inadequate food management, and strict quality and safety standards. The findings highlight the substantial influence of tourism on waste generation and emphasize the potential for surplus food recovery. Evidence-based, context-specific strategies are recommended to reduce food waste, enhance food security, and support sustainable tourism in Labuan Bajo.</p>
</abstract>
<kwd-group>
<kwd>direct weighing</kwd>
<kwd>distribution and consumption sector</kwd>
<kwd>food loss and waste (FLW)</kwd>
<kwd>food waste</kwd>
<kwd>food waste impacts</kwd>
<kwd>Labuan Bajo</kwd>
<kwd>tourism</kwd>
<kwd>waste composition</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The work was undertaken under the Urban Futures project with support from Yayasan Humanis dan Inovasi Sosial, Grant No. 50193.</funding-statement>
</funding-group>
<counts>
<fig-count count="13"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="88"/>
<page-count count="21"/>
<word-count count="14067"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Waste Management</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Food loss and waste has emerged as a critical global concern due to its devastating environmental impacts, including energy loss (<xref ref-type="bibr" rid="ref58">Melikoglu et al., 2013</xref>), land degradation (<xref ref-type="bibr" rid="ref48">Kotykova et al., 2021</xref>), greenhouse gas emissions (<xref ref-type="bibr" rid="ref70">Scherhaufer et al., 2018</xref>; <xref ref-type="bibr" rid="ref24">Diana et al., 2022</xref>; <xref ref-type="bibr" rid="ref46">Kohli et al., 2024</xref>), and biodiversity loss (<xref ref-type="bibr" rid="ref14">Bogenreuther et al., 2024</xref>); its significant economic costs from wasted resources (<xref ref-type="bibr" rid="ref82">Venkat, 2011</xref>; <xref ref-type="bibr" rid="ref49">Kummu et al., 2012</xref>; <xref ref-type="bibr" rid="ref59">Mokrane et al., 2023</xref>); and its contribution to nutritional loss (<xref ref-type="bibr" rid="ref11">Beuving et al., 2024</xref>; <xref ref-type="bibr" rid="ref20">Conrad and Blackstone, 2021</xref>). In Indonesia, per capita food loss and waste amounts to 115&#x2013;184&#x202F;kg per year (<xref ref-type="bibr" rid="ref4">Badan Perencanaan Pembangunan Nasional, 2021</xref>), a figure substantially higher than the global average of 65&#x202F;kg per year (<xref ref-type="bibr" rid="ref19">Chen et al., 2020</xref>). Between 2000 and 2019, food loss and waste in Indonesia generated economic losses of IDR 213&#x2013;551 trillion annually, resulted in the loss of nutrients that could have met 29&#x2013;47% of the national daily calorie requirements, and produced 1,702.9 Mt. CO&#x2082;-eq emissions, equivalent to 7.29% of Indonesia&#x2019;s total greenhouse gas emissions (<xref ref-type="bibr" rid="ref4">Badan Perencanaan Pembangunan Nasional, 2021</xref>). In addition to being a global target under Sustainable Development Goals (SDG) 12.3 which aims to halve food waste by 2030 (<xref ref-type="bibr" rid="ref80">United Nations, 2015</xref>), Indonesia&#x2019;s National Development Planning Agency (Bappenas) has launched the Roadmap for Food Loss and Waste (FLW) Management, which sets an ambitious national target of reducing food loss and waste by 75% by 2045 (<xref ref-type="bibr" rid="ref5">Badan Perencanaan Pembangunan Nasional, 2024</xref>).</p>
<p>Labuan Bajo, one of the most popular and rapidly growing tourist destinations in Indonesia, has been designated a &#x201C;Super Priority Tourism Destination&#x201D; (Destinasi Pariwisata Super Prioritas) by the Indonesian government since 2019 (<xref ref-type="bibr" rid="ref71">Sekretariat Kabinet Republik Indonesia, 2022</xref>). This designation has driven a 108% increase in tourist arrivals, from 125,069 visitors in 2017 to 259,574 in 2022 (<xref ref-type="bibr" rid="ref69">Salukh et al., 2023</xref>). Tourism growth is closely linked to rising waste generation (<xref ref-type="bibr" rid="ref55">Martins and Cr&#x00F3;, 2021</xref>), with urban areas producing twice as much waste as rural regions (<xref ref-type="bibr" rid="ref54">Martianto et al., 2024</xref>). This trend is mirrored in West Manggarai, where food waste now constitutes the largest proportion of waste, increasing by 27% from 14,215 tons in 2023 to 18,073 tons in 2024 (<xref ref-type="bibr" rid="ref44">Kementerian Lingkungan Hidup dan Kehutanan, 2024</xref>). Under the business-as-usual (BAU) scenario, the waste management capacity in Labuan Bajo is projected to be insufficient to accommodate tourist-generated waste by 2032, necessitating both the expansion of waste management infrastructure and the reduction of unprocessed waste volumes (<xref ref-type="bibr" rid="ref28">Fatina et al., 2023</xref>).</p>
<p>Without effective management, growing waste accumulation in Labuan Bajo threatens both the local environment and the region&#x2019;s tourism appeal (<xref ref-type="bibr" rid="ref85">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="ref36">Greco et al., 2018</xref>; <xref ref-type="bibr" rid="ref50">Lemy et al., 2024</xref>). WWF Indonesia (2024) reports a 59% increase in total waste generation in Labuan Bajo between 2021 and 2024, with organic waste comprising 37% of landfill content (<xref ref-type="bibr" rid="ref47">Koly, 2024</xref>). Addressing this challenge requires comprehensive data to inform structured and sustainable food waste reduction strategies (<xref ref-type="bibr" rid="ref88">Xue et al., 2017</xref>), as demonstrated in successful cases such as the United Kingdom (<xref ref-type="bibr" rid="ref21">Cooper et al., 2018</xref>), Taiwan (<xref ref-type="bibr" rid="ref77">Thi et al., 2015</xref>), and Japan (<xref ref-type="bibr" rid="ref52">Ling, 2023</xref>). However, to date, no study has specifically measured city-scale food loss and waste data in Labuan Bajo in detail, including material types, material status, destinations, and the causes and underlying drivers of food waste generation.</p>
<p>While existing studies in Indonesia and Southeast Asia have largely focused on household waste or single sectors in isolation, they have rarely examined food waste within tourism-dependent destinations or accounted for locally embedded practices such as the reuse of food waste as pig feed, as well as tourism boats as food waste&#x2013;producing units. This study therefore provides the first comprehensive assessment of food waste in Labuan Bajo, quantifying and characterizing the volume and composition of food waste across multiple distribution and consumption sectors, mapping its destinations, and identifying opportunities for recovery. In addition, it assesses the environmental, nutritional, and economic impacts of food waste and examines the structural and behavioral drivers shaping waste generation in a rapidly growing tourism hub.</p>
<p>Food waste assessment was specifically prioritized due to limited agricultural production in Labuan Bajo and its heavy reliance on external food supplies. According to FAO definitions, food loss occurs from production up to but not including the retail stage; while food waste occurs at the retail, food service, and consumer levels (<xref ref-type="bibr" rid="ref30">Food and Agriculture Organization of the United Nations, 2019</xref>).</p>
<p>In addition, this research seeks to formulate actionable recommendations for stakeholders to support food waste prevention and reduction efforts, particularly in Labuan Bajo, where waste collection and handling facilities are very limited. The findings are expected to highlight critical points of intervention and inform the design of targeted reduction strategies. Ultimately, this work aims to contribute to the successful achievement of Indonesia&#x2019;s national target of a 75% reduction in food loss and waste by 2045, as set forth in the national FLW Roadmap (<xref ref-type="bibr" rid="ref5">Badan Perencanaan Pembangunan Nasional, 2024</xref>).</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Location and time</title>
<p>The study took place in the city of Labuan Bajo, the capital of Komodo Subdistrict, West Manggarai Regency, East Nusa Tenggara Province. The administrative area defined as Labuan Bajo encompasses four villages: Batu Cermin Village, Gorontalo Village, Wae Kelambu Village, and Labuan Bajo Village, covering a total area of 38.78&#x202F;km<sup>2</sup>, as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. Data collection was carried out over a total of 35&#x202F;days across 3 months: permits and household waste (HW) data were collected from December 4&#x2013;13, 2024, while data from non-household waste (non-HW) were collected from January 18&#x2013;27, 2025, and February 13&#x2013;27, 2025.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Map of Labuan Bajo. Source: Map data from Google Earth, Google Maps &#x00A9; 2025.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Map highlighting different regions with colored boundaries around Labuan Bajo, Batu Cermin, Wae Kelambu, and Goron Talo. Each area is marked with a respective pin: blue for Labuan Bajo, purple for Batu Cermin, orange for Wae Kelambu, and yellow for Goron Talo. The map features surrounding land and water areas.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Research method</title>
<p>This study applied a mixed-methods approach, combining quantitative and qualitative data collected simultaneously, analyzed separately, and then integrated for interpretation and validation, as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. Quantitative data were analyzed using descriptive statistics, while qualitative data were examined through thematic analysis. This mixed-methods approach provides a more comprehensive understanding of food waste conditions, as well as the underlying causes and drivers, enabling evidence-based recommendations for reduction strategies. Similar approaches have been used in studies on restaurants (<xref ref-type="bibr" rid="ref17">Budijati and Setiyawan, 2023</xref>), dining establishments and hotels (<xref ref-type="bibr" rid="ref16">Brigita and Rahardyan, 2013</xref>), and hospitals (<xref ref-type="bibr" rid="ref63">Papargyropoulou et al., 2019</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Research methodology.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart depicting a study on food waste in Labuan Bajo. It shows stages: Sampling, Data Collection, Data, Data Analysis, and Output. Sampling includes HW producing units (households) and non-HW producing units (e.g., hotels, restaurants). Data Collection methods are quantitative (direct weighing) and qualitative (semi-structured interviews). Data includes food waste weight, material types, and food service practices. Data Analysis combines quantitative and qualitative methods. Outputs detail the total food waste, its characteristics, and impacts along with recommendations for waste reduction in Labuan Bajo throughout 2024.</alt-text>
</graphic>
</fig>
<p>Food waste quantification followed the Food Waste Accounting Standard in Retail (<italic>Metode Baku Perhitungan Sisa Pangan pada Ritel</italic>) (<xref ref-type="bibr" rid="ref3">Bachtiar et al., 2024</xref>), the first and most recent nationally recognized method, adapted from the Food Loss and Waste Accounting and Reporting Standard (<xref ref-type="bibr" rid="ref87">World Resource Institute, 2016</xref>).</p>
<p>To align with the Food Waste Accounting Standard, the following components are included within the scope of the food waste inventory:</p>
<list list-type="order">
<list-item><p>Timeframe: January 1, 2024&#x2014;December 31, 2024</p></list-item>
<list-item><p>Material Types: Edible parts and inedible parts</p></list-item>
<list-item><p>Destination: All possible and relevant destination for food removed from the supply chain, including animal feed, biochemical processing, anaerobic digestion, composting (aerobic), controlled combustion, land application, landfill, not harvested, refuse/discards/litter, sewer/wastewater, donation/recovery, and off-site processing.</p></list-item>
<list-item><p>Material Status: Consumable (C), Non-consumable (NC), and Technically Consumable (TC)</p></list-item>
<list-item><p>Boundaries:</p>
<list list-type="bullet">
<list-item><p>Food categories: All food and beverages, including used cooking oil</p></list-item>
<list-item><p>Life-cycle stages: Distribution and consumption</p></list-item>
<list-item><p>Geography: Labuan Bajo city</p></list-item>
<list-item><p>Organization: All food waste producing units including Household Waste (HW) and non-HW (hotels, restaurants, food stalls, caf&#x00E9;s, bakeries, markets, retailers, and tourist boats including speedboats for same-day return trips and phinisi ships for multi-day trips).</p></list-item>
</list></list-item>
<list-item><p>Related Issues: Exclusion of packaging and other non-food materials from calculations, and accounting for food waste before any changes in water content occur</p></list-item>
</list>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Sampling method</title>
<p>Sample size determination followed SNI 19&#x2013;3,964-1995 (Sampling and Measurement of Urban Waste Generation and Composition) (<xref ref-type="bibr" rid="ref9">Badan Standarisasi Nasional, 1995</xref>), an Indonesian national standard for quantifying urban waste. Details on the sampling methods are presented in <xref ref-type="supplementary-material" rid="SM1">Supplementary material 1</xref>.</p>
<p>Stratified random sampling was used to ensure representative sampling. Food waste producing units were categorized by specific attributes, and random samples were drawn proportionally to the population distribution in each subcategory, allowing better representation of heterogeneous population.</p>
<p>The results of the sample size calculation are presented in <xref ref-type="table" rid="tab1">Table 1</xref>, while detailed information is provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary material 2</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Sample size by category.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Category</th>
<th align="left" valign="top">Subcategory</th>
<th align="center" valign="top">Population</th>
<th align="center" valign="top">Sample size (SNI)</th>
<th align="center" valign="top">Actual sample size</th>
<th align="left" valign="top">Tertiary category</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">HW (household waste)</td>
<td align="left" valign="top">Household</td>
<td align="center" valign="top">29,543 people</td>
<td align="center" valign="top">86 individuals/21 households</td>
<td align="center" valign="top">21 households</td>
<td align="left" valign="top">Based on village and monthly<break/>household expenditure<break/>Batu Cermin Village<break/><list list-type="bullet">
<list-item><p>Low (Rp 0&#x2013;750,000)&#x202F;=&#x202F;1</p></list-item>
<list-item><p>Middle (&#x003E;Rp 750,000&#x2013;1,500,000)&#x202F;=&#x202F;3</p></list-item>
<list-item><p>High (&#x003E; Rp1,500,00) = 1</p></list-item>
</list>Gorontalo Village<break/><list list-type="bullet">
<list-item><p>Low&#x202F;=&#x202F;2</p></list-item>
<list-item><p>Middle&#x202F;=&#x202F;2</p></list-item>
<list-item><p>High&#x202F;=&#x202F;2</p></list-item>
</list>Wae Kelambu Urban Village<break/><list list-type="bullet">
<list-item><p>Low&#x202F;=&#x202F;2</p></list-item>
<list-item><p>Middle&#x202F;=&#x202F;3</p></list-item>
<list-item><p>High&#x202F;=&#x202F;1</p></list-item>
</list>Labuan Bajo Urban Village<break/><list list-type="bullet">
<list-item>
<p>Low&#x202F;=&#x202F;2</p>
</list-item>
<list-item>
<p>Middle&#x202F;=&#x202F;1</p>
</list-item>
<list-item>
<p>High&#x202F;=&#x202F;1</p>
</list-item>
</list></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="8">Non-HW (non-household waste)</td>
<td align="left" valign="top">Hotel</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">10</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Non-star hotels&#x202F;=&#x202F;3</p>
</list-item>
<list-item>
<p>1&#x2013;3 star hotels&#x202F;=&#x202F;3</p>
</list-item>
<list-item>
<p>4&#x2013;5 star hotels&#x202F;=&#x202F;4</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">Restaurant</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Western food&#x202F;=&#x202F;1</p>
</list-item>
<list-item>
<p>Asian food&#x202F;=&#x202F;2</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">Food stall</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Padang food&#x202F;=&#x202F;2</p>
</list-item>
<list-item>
<p>Mixed rice&#x202F;=&#x202F;3</p>
</list-item>
<list-item>
<p>Others&#x202F;=&#x202F;3</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">Caf&#x00E9;</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Bakery</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Retail</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Large &#x2014; dry food&#x202F;=&#x202F;2</p>
</list-item>
<list-item>
<p>Large &#x2014; mixed perishable and dry food&#x202F;=&#x202F;2</p>
</list-item>
<list-item>
<p>Small &#x2014; dry food&#x202F;=&#x202F;2</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">Traditional market</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top">26 vendors at Batu Cermin Traditional Market selling food or food ingredients</td>
</tr>
<tr>
<td align="left" valign="top">Tourist boat</td>
<td align="center" valign="top">214</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">21</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Speedboats (for same-day return trips)&#x202F;=&#x202F;9</p>
</list-item>
<list-item>
<p>Phinisi boats (for multi-day trips)&#x202F;=&#x202F;12</p>
</list-item>
</list>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Data collection</title>
<sec id="sec7">
<label>2.4.1</label>
<title>Quantitative data</title>
<p>Quantitative data were collected using the direct weighing method, following the Food Waste Accounting Standard in Retail (<xref ref-type="bibr" rid="ref3">Bachtiar et al., 2024</xref>). This method separates and identifies the weight and composition of food waste based on material type, material status, and destination, as shown in <xref ref-type="table" rid="tab2">Table 2</xref>. Each sampling unit was monitored over a two-day period (one weekday and one weekend day) to capture variations in food waste generation throughout the week. An exception was made for the traditional market, where sampling was conducted on Thursday and Saturday, which are considered &#x201C;market days&#x201D; by local residents.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Scope of food waste inventory (material type, material status, and destination) (<xref ref-type="bibr" rid="ref87">World Resource Institute, 2016</xref>; <xref ref-type="bibr" rid="ref3">Bachtiar et al., 2024</xref>).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Scope of food waste inventory</th>
<th align="left" valign="top">Definition</th>
<th align="left" valign="top">Comment</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Material type</td>
<td align="left" valign="top">Edible parts</td>
<td align="left" valign="top">&#x201C;Any substance&#x2014;whether processed, semi-processed, or raw&#x2014;that is intended for human consumption. It includes drink, and any substance that has been used in the manufacture, preparation, or treatment of food. It also includes material that has spoiled and is therefore no longer fit for human consumption.&#x201D; Examples: apple flesh, chicken meat, moldy leftover rice, spoiled milk.</td>
<td align="left" valign="top" rowspan="2">The identification of material types is conducted directly whenever possible.<break/>If direct identification is not feasible, conversion factors from food composition databases, such as the 2019 Indonesian Food Composition Table (TKPI) or the Australian Food Composition Database, or Canadian Nutrient File (CNF) may be used.</td>
</tr>
<tr>
<td align="left" valign="top">Inedible parts</td>
<td align="left" valign="top">&#x201C;Components associated with a food that, in a particular food supply chain, are not intended to be consumed by humans. Inedible parts do not include packaging, such as wrapping, banana leaves, or plastic containers.&#x201D;<break/>Examples: bones, rinds, and pits/stones.</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Material status</td>
<td align="left" valign="top">Consumable (C)</td>
<td align="left" valign="top">Food considered fit for human consumption. Examples include uneaten beef steak left on a plate, or vegetables discarded for not meeting market aesthetic standards.</td>
<td align="left" valign="top" rowspan="3">Categorization is based on the condition of the food at the time of disposal, not at the time of measurement. Material status was determined using visual, textural, and, where applicable, olfactory indicators, and was verified through interviews with employees. Microbial contamination was not assessed due to feasibility constraints; therefore, suitability for consumption was inferred rather than microbiologically confirmed.</td>
</tr>
<tr>
<td align="left" valign="top">Non-consumable (NC)</td>
<td align="left" valign="top">Food considered unfit for human consumption. Examples include food that is rotten, spoiled, has changed texture, or is clearly unfit to eat, such as moldy bread or expired milk.</td>
</tr>
<tr>
<td align="left" valign="top">Technically consumable (TC)</td>
<td align="left" valign="top">Food not typically consumed by the local population due to cultural norms or limited knowledge, but is actually fit for consumption and commonly eaten in other regions. Examples include grated coconut residue, or food that has passed its &#x201C;best before&#x201D; date but remains in good condition.</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="8">Destination</td>
<td align="left" valign="top">Animal feed</td>
<td align="left" valign="top" colspan="2">&#x201C;Diverting material from the food supply chain (directly or after processing) to animals.&#x201D;</td>
</tr>
<tr>
<td align="left" valign="top">Biochemical processing</td>
<td align="left" valign="top" colspan="2">&#x201C;Converting material into industrial products. Examples include creating fibers for packaging material; creating bioplastics; and rendering fat, oil, or grease into a raw material to make products such as soaps, biodiesel, or cosmetics.&#x201D;</td>
</tr>
<tr>
<td align="left" valign="top">Land application</td>
<td align="left" valign="top" colspan="2">&#x201C;Spreading, spraying, injecting, or incorporating organic material onto or below the surface of the land to enhance soil quality.&#x201D;</td>
</tr>
<tr>
<td align="left" valign="top">Landfill</td>
<td align="left" valign="top" colspan="2">&#x201C;Sending material to an area of land or an excavated site that is specifically designed and built to receive wastes.&#x201D;</td>
</tr>
<tr>
<td align="left" valign="top">Refuse/discards/litter</td>
<td align="left" valign="top" colspan="2">&#x201C;Abandoning material on land or disposing of it in the sea. This includes open dumps (i.e., uncovered, unlined), open burn (i.e., not in a controlled facility), the portion of harvested crops eaten by pests, and fish discards (the portion of total catch that is thrown away or slipped).&#x201D; In the context of this study, the categories of &#x201C;Open Burn&#x201D; and &#x201C;Marine Disposal&#x201D; are presented separately to emphasize them as key areas for government policy recommendations.</td>
</tr>
<tr>
<td align="left" valign="top">Sewer/wastewater treatment</td>
<td align="left" valign="top" colspan="2">&#x201C;Sending material down the sewer (with or without prior treatment), including that which may go to a facility designed to treat wastewater.&#x201D;</td>
</tr>
<tr>
<td align="left" valign="top">Donated/recovered</td>
<td align="left" valign="top" colspan="2">Rescuing, donating, redistributing, or reselling food materials that are still considered safe and edible for human consumption.</td>
</tr>
<tr>
<td align="left" valign="top">Offsite</td>
<td align="left" valign="top" colspan="2">Another entity collects or transports the food waste off-site, with the final destination remaining unknown. Examples include waste management companies or other parties removing food waste from the point of generation.</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Food waste quantification was conducted on-site at each waste-generating unit. Daily collection and immediate measurement, carried out as close as possible to the source, improved data accuracy by minimizing degradation and mixing with other types of waste (<xref ref-type="bibr" rid="ref26">Elimelech et al., 2018</xref>).</p>
</sec>
<sec id="sec8">
<label>2.4.2</label>
<title>Qualitative data</title>
<p>Qualitative data were gathered through interviews conducted via a semi-structured interview instrument to gather further information about food waste being weighed, obtain basic socio demographic data, as well as to explore the causes and triggers of food waste generation. The interview questions for household and non-household samples are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary materials 4, 5</xref>.</p>
<p>Information on other forms of food waste such as used cooking oil, discarded beverages or liquids, leftovers from events, waste from incoming product sorting, or waste that had already been fed to livestock or disposed of, was collected through interviews when direct measurement was not possible due to data unavailability.</p>
</sec>
</sec>
<sec id="sec9">
<label>2.5</label>
<title>Data analysis</title>
<sec id="sec10">
<label>2.5.1</label>
<title>Quantitative data</title>
<sec id="sec11">
<label>2.5.1.1</label>
<title>Food waste weight and composition</title>
<p>Food waste data is analyzed separately based on material status, material type, and handling method, as detailed in <xref ref-type="table" rid="tab2">Table 2</xref> based on Food Waste Accounting Standard in Retail (<xref ref-type="bibr" rid="ref3">Bachtiar et al., 2024</xref>).</p>
</sec>
<sec id="sec12">
<label>2.5.1.2</label>
<title>Data extrapolation</title>
<p>The calculated daily per-unit food waste generation and composition data were extrapolated to represent the entire city of Labuan Bajo. This was done by multiplying the per-unit values by the population size of each sub-category unit in Labuan Bajo. The results were then further extrapolated to estimate total food waste generation for the full year (January 1&#x2014;December 31, 2024), taking into account variations between weekdays and weekends.</p>
<p>Seasonal variations in food waste generation were considered across several categories based on interview findings and available data. For example, data for hotels, restaurants, caf&#x00E9;s, bakeries, and retail establishments were adjusted using the 2024 Monthly Tourist Arrival Statistics (<italic>Data Kunjungan Wisatawan</italic>) (<xref ref-type="bibr" rid="ref25">Dinas Pariwisata Ekonomi Kreatif dan Kebudayaan Kabupaten Manggarai Barat, 2025</xref>); tourist boats used actual passenger data from the Inaportnet application and the Class III KSOP Labuan Bajo register; hotel occupancy rates were based on Room Occupancy Rates (<italic>Tingkat Penghunian Kamar</italic>) by star and non-star classification for West Manggarai Regency in 2024 (<xref ref-type="bibr" rid="ref7">Badan Pusat Statistik Kabupaten Manggarai Barat, 2025</xref>); and household data incorporated insights from interviews regarding food waste generated during family gatherings and festive events.</p>
</sec>
<sec id="sec13">
<label>2.5.1.3</label>
<title>Impact calculation</title>
<p>The impact calculations are presented in <xref ref-type="table" rid="tab3">Table 3</xref>, while detailed descriptions of the calculation procedures and references can be found in <xref ref-type="supplementary-material" rid="SM1">Supplementary material 3</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Impact calculation.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Impact</th>
<th align="left" valign="top">Variable measured</th>
<th align="left" valign="top">Formula</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="4">Environmental impact</td>
<td align="left" valign="middle">Greenhouse gas (GHG) emissions (kg CO&#x2082;-eq)</td>
<td align="left" valign="middle" rowspan="3">
<inline-formula>
<mml:math id="M1">
<mml:mo>=</mml:mo>
<mml:mo>&#x2211;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mtext mathvariant="italic">Enviromental impact from supply chains</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mtext mathvariant="italic">Enviromental impacts from</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="italic">FLW</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext mathvariant="italic">destinations</mml:mtext>
<mml:mo stretchy="true">)</mml:mo>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left" valign="middle">Water footprint (m<sup>3</sup>-eq)</td>
</tr>
<tr>
<td align="left" valign="middle">Land use or soil quality index (points)</td>
</tr>
<tr>
<td align="left" valign="middle">Number of people whose annual electricity needs could be met (people)</td>
<td align="left" valign="middle">
<inline-formula><mml:math id="M2"><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mtext mathvariant="italic">Total</mml:mtext><mml:mspace width="0.25em"/><mml:mi mathvariant="italic">GHG</mml:mi><mml:mspace width="0.25em"/><mml:mtext mathvariant="italic">emission</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mi mathvariant="italic">kg</mml:mi><mml:mspace width="0.25em"/><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mi mathvariant="italic">eq</mml:mi><mml:mo stretchy="true">)</mml:mo></mml:mrow><mml:mrow><mml:mn>0.75</mml:mn><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="italic">kg</mml:mi><mml:mspace width="0.25em"/><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mi mathvariant="italic">eq</mml:mi></mml:mrow><mml:mi mathvariant="italic">kWh</mml:mi></mml:mfrac><mml:mo stretchy="true">)</mml:mo><mml:mo>&#x00D7;</mml:mo><mml:mn>1</mml:mn><mml:mo>,</mml:mo><mml:mn>411</mml:mn><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mfrac><mml:mi mathvariant="italic">kWh</mml:mi><mml:mtext mathvariant="italic">people</mml:mtext></mml:mfrac><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:mfrac></mml:math></inline-formula>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Nutritional loss</td>
<td align="left" valign="middle">Calorie loss (kcal)</td>
<td align="left" valign="middle">
<inline-formula><mml:math id="M3"><mml:mo>=</mml:mo><mml:mo>&#x2211;</mml:mo><mml:mo stretchy="true">(</mml:mo><mml:mtext mathvariant="italic">Food waste weight</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mi>g</mml:mi><mml:mo stretchy="true">)</mml:mo><mml:mspace width="0.25em"/><mml:mi>x</mml:mi><mml:mspace width="0.25em"/><mml:mtext mathvariant="italic">Edible parts percentage</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mo>%</mml:mo><mml:mo stretchy="true">)</mml:mo><mml:mspace width="0.25em"/><mml:mi>x</mml:mi><mml:mfrac><mml:mrow><mml:mtext mathvariant="italic">Calorie</mml:mtext><mml:mspace width="0.25em"/><mml:mi mathvariant="italic">per</mml:mi><mml:mspace width="0.25em"/><mml:mn>100</mml:mn><mml:mi>g</mml:mi><mml:mspace width="0.25em"/><mml:mtext mathvariant="italic">edible parts</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext mathvariant="italic">kcal</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mrow><mml:mrow><mml:mn>100</mml:mn><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mi>g</mml:mi><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:mfrac><mml:mo stretchy="true">)</mml:mo></mml:math></inline-formula>
</td>
</tr>
<tr>
<td align="left" valign="middle">Number of people whose daily calorie intake needs could be met (people in one day)</td>
<td align="left" valign="middle">
<inline-formula><mml:math id="M4"><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mtext mathvariant="italic">Total calorie loss</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext mathvariant="italic">kcal</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>,</mml:mo><mml:mn>100</mml:mn><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mfrac><mml:mtext mathvariant="italic">kcal</mml:mtext><mml:mtext mathvariant="italic">people</mml:mtext></mml:mfrac><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:mfrac></mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Economical loss</td>
<td align="left" valign="middle">Real economic loss<break/>(IDR or USD)</td>
<td align="left" valign="middle">
<inline-formula><mml:math id="M5"><mml:mo>=</mml:mo><mml:mo>&#x2211;</mml:mo><mml:mo stretchy="true">(</mml:mo><mml:mtable columnalign="left" displaystyle="true"><mml:mtr><mml:mtd><mml:mo stretchy="true">(</mml:mo><mml:mtext mathvariant="italic">Food ingredients weight</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mi mathvariant="italic">kg</mml:mi><mml:mo stretchy="true">)</mml:mo><mml:mo>&#x00D7;</mml:mo><mml:mtext mathvariant="italic">Food ingredients price</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="italic">IDR</mml:mi><mml:mspace width="0.25em"/><mml:mtext mathvariant="italic">or</mml:mtext><mml:mspace width="0.25em"/><mml:mi mathvariant="italic">USD</mml:mi></mml:mrow><mml:mi mathvariant="italic">kg</mml:mi></mml:mfrac><mml:mo stretchy="true">)</mml:mo><mml:mo stretchy="true">)</mml:mo><mml:mo>+</mml:mo></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mtext mathvariant="italic">Waste collection cost</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mi mathvariant="italic">IDR</mml:mi><mml:mspace width="0.25em"/><mml:mtext mathvariant="italic">or</mml:mtext><mml:mspace width="0.25em"/><mml:mi mathvariant="italic">USD</mml:mi><mml:mo stretchy="true">)</mml:mo></mml:mtd></mml:mtr></mml:mtable><mml:mo stretchy="true">)</mml:mo></mml:math>
</inline-formula></td>
</tr>
<tr>
<td align="left" valign="middle">Potential economic loss (IDR or USD)</td>
<td align="left" valign="middle">
<inline-formula><mml:math id="M6"><mml:mo>=</mml:mo><mml:mo>&#x2211;</mml:mo><mml:mo stretchy="true">(</mml:mo><mml:mtext mathvariant="italic">Estimated food selling price</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mi mathvariant="italic">IDR</mml:mi><mml:mspace width="0.25em"/><mml:mtext mathvariant="italic">or</mml:mtext><mml:mspace width="0.25em"/><mml:mi mathvariant="italic">USD</mml:mi><mml:mo stretchy="true">)</mml:mo><mml:mo>+</mml:mo><mml:mtext mathvariant="italic">Waste collection cost</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mi mathvariant="italic">IDR</mml:mi><mml:mspace width="0.25em"/><mml:mtext mathvariant="italic">or</mml:mtext><mml:mspace width="0.25em"/><mml:mi mathvariant="italic">USD</mml:mi><mml:mo stretchy="true">)</mml:mo><mml:mo stretchy="true">)</mml:mo></mml:math>
</inline-formula>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="sec14">
<label>2.5.2</label>
<title>Qualitative data</title>
<p>Thematic analysis was conducted based on interview results and notes from the data collection worksheets used during the food waste direct weighing process. Participant responses were grouped into specific themes. Identified patterns, trends, and the underlying causes and drivers of food waste emerging from the interviews were used to complement and enrich the interpretation of quantitative data, providing a more comprehensive basis for formulating actionable recommendations for relevant stakeholders.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<label>3</label>
<title>Results and discussions</title>
<sec id="sec16">
<label>3.1</label>
<title>Total food waste by category and producing unit</title>
<p>The total amount of food waste generated in Labuan Bajo throughout 2024 is estimated at 4,836 tons, with a detailed breakdown presented in <xref ref-type="table" rid="tab4">Table 4</xref>. The proportion of food waste generated in Labuan Bajo in <xref ref-type="fig" rid="fig3">Figure 3</xref>, indicates that non-HW producing units account for a larger share (51.5%) compared to HW (48.5%). This finding contrasts with both national and global patterns. According to Indonesia&#x2019;s national FLW data, approximately 80% of food waste in the consumption stage originates from households (<xref ref-type="bibr" rid="ref4">Badan Perencanaan Pembangunan Nasional, 2021</xref>). Globally, the UNEP Food Waste Index Report (2021) reports that households contribute 65% of food waste in the consumption sector, with the remaining share coming from food businesses and retail (<xref ref-type="bibr" rid="ref31">Forbes et al., 2021</xref>). This discrepancy further highlights the significant influence of tourism in Labuan Bajo, where the increasing number of tourists has stimulated the growth of food service businesses in the non-household sector, subsequently increasing food waste generation (<xref ref-type="bibr" rid="ref45">Kiwang and Arif, 2020</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Total food waste in Labuan Bajo city in 2024 by food waste producing unit.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Category</th>
<th align="left" valign="top">Producing unit</th>
<th align="center" valign="top">Weight (kg)</th>
<th align="center" valign="top" colspan="2">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Household waste (HW)</td>
<td align="left" valign="middle">Households</td>
<td align="center" valign="middle">2,347,871</td>
<td align="center" valign="middle">48.5%</td>
<td align="char" valign="middle" char=".">48.5%</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="8">Non-household waste (non-HW)</td>
<td align="left" valign="middle">Traditional markets</td>
<td align="center" valign="middle">668,616</td>
<td align="center" valign="middle">13.8%</td>
<td align="char" valign="middle" char="." rowspan="8">51.5%</td>
</tr>
<tr>
<td align="left" valign="middle">Hotels</td>
<td align="center" valign="middle">473,086</td>
<td align="center" valign="middle">9.8%</td>
</tr>
<tr>
<td align="left" valign="middle">Restaurants</td>
<td align="center" valign="middle">438,542</td>
<td align="center" valign="middle">9.1%</td>
</tr>
<tr>
<td align="left" valign="middle">Food stalls</td>
<td align="center" valign="middle">378,169</td>
<td align="center" valign="middle">7.8%</td>
</tr>
<tr>
<td align="left" valign="middle">Tourist boats</td>
<td align="center" valign="middle">341,088</td>
<td align="center" valign="middle">7.1%</td>
</tr>
<tr>
<td align="left" valign="middle">Caf&#x00E9;s</td>
<td align="center" valign="middle">100,017</td>
<td align="center" valign="middle">2.1%</td>
</tr>
<tr>
<td align="left" valign="middle">Retailers</td>
<td align="center" valign="middle">69,143</td>
<td align="center" valign="middle">1.4%</td>
</tr>
<tr>
<td align="left" valign="middle">Bakeries</td>
<td align="center" valign="middle">19,965</td>
<td align="center" valign="middle">0.4%</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Total</td>
<td align="center" valign="middle">4,836,496</td>
<td align="center" valign="middle">100%</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Percentage of total food waste by category.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Pie chart showing waste distribution: Households Waste is 48.5%, and Non-household Waste is 51.5%.</alt-text>
</graphic>
</fig>
<p>When analyzed by groups of producing unit, <xref ref-type="fig" rid="fig4">Figure 4</xref> shows that households contributed the largest share (48.5%) of total food waste, followed by food establishments (19.4%) and traditional markets (13.8%). If broken down in more detail by producing unit as shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>; hotels, restaurants, food stalls, and tourist boats each contributed between 5 and 10%, while the remaining categories including caf&#x00E9;s, retailers, speedboats, and bakeries, accounted for less than 3% of the total food waste generated. A further breakdown of the food waste generation rate per producing unit per day is presented in <xref ref-type="table" rid="tab5">Table 5</xref>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Percentage of total food waste by aggregated producing unit.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Pie chart showing sources of waste: Households account for 48.5%, Food establishments 19.4%, Traditional markets 13.8%, Hotels 9.8%, Tourist boats 7.1%, and Retailers 1.4%.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Percentage of total food waste by producing unit.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Pie chart depicting waste sources. Household waste accounts for 48.5%, traditional markets 13.8%, hotels 9.8%, restaurants 9.1%, food stalls 7.8%, tourist boats 7.1%, caf&#x00E9;s 2.1%, retailers 1.4%, and bakeries 0.4%.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Food waste generation rate in Labuan Bajo city in 2024 by food waste producing unit.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Category</th>
<th align="left" valign="top">Producing unit</th>
<th align="center" valign="top">Amount</th>
<th align="left" valign="top">Unit</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="5">Household waste (HW)</td>
<td align="left" valign="middle">Average of HW</td>
<td align="char" valign="middle" char=".">0.221</td>
<td align="left" valign="middle">kg/person/day</td>
</tr>
<tr>
<td align="left" valign="middle">Labuan Bajo</td>
<td align="char" valign="middle" char=".">0.197</td>
<td align="left" valign="middle">kg/person/day</td>
</tr>
<tr>
<td align="left" valign="middle">Goron Talo</td>
<td align="char" valign="middle" char=".">0.274</td>
<td align="left" valign="middle">kg/person/day</td>
</tr>
<tr>
<td align="left" valign="middle">Batu Cermin</td>
<td align="char" valign="middle" char=".">0.172</td>
<td align="left" valign="middle">kg/person/day</td>
</tr>
<tr>
<td align="left" valign="middle">Wae Kelambu</td>
<td align="char" valign="middle" char=".">0.240</td>
<td align="left" valign="middle">kg/person/day</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="9">Non-household waste (Non-HW)</td>
<td align="left" valign="middle">Hotel</td>
<td align="char" valign="middle" char=".">3.36</td>
<td align="left" valign="middle">kg/room/day</td>
</tr>
<tr>
<td align="left" valign="middle">Restaurant</td>
<td align="char" valign="middle" char=".">15.47</td>
<td align="left" valign="middle">kg/restaurant/day</td>
</tr>
<tr>
<td align="left" valign="middle">Food stall</td>
<td align="char" valign="middle" char=".">7.66</td>
<td align="left" valign="middle">kg/eatery/day</td>
</tr>
<tr>
<td align="left" valign="middle">Cafe</td>
<td align="char" valign="middle" char=".">5.58</td>
<td align="left" valign="middle">kg/cafe/day</td>
</tr>
<tr>
<td align="left" valign="middle">Bakery</td>
<td align="char" valign="middle" char=".">4.09</td>
<td align="left" valign="middle">kg/bakery/day</td>
</tr>
<tr>
<td align="left" valign="middle">Traditional market</td>
<td align="char" valign="middle" char=".">2.09</td>
<td align="left" valign="middle">kg/vendor/day</td>
</tr>
<tr>
<td align="left" valign="middle">Retail</td>
<td align="char" valign="middle" char=".">6.22</td>
<td align="left" valign="middle">kg/retailer/day</td>
</tr>
<tr>
<td align="left" valign="middle">Speedboat</td>
<td align="char" valign="middle" char=".">0.16</td>
<td align="left" valign="middle">kg/passenger/day</td>
</tr>
<tr>
<td align="left" valign="middle">Phinisi ship</td>
<td align="char" valign="middle" char=".">0.69</td>
<td align="left" valign="middle">kg/passenger-day/day</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Despite the presence of only two major traditional markets in Labuan Bajo, they ranked second after households in total food waste volume. This is primarily due to the high volume of discarded produce that vendors receive from upstream suppliers. Much of the food supply comes from outside the island and is highly susceptible to spoilage due to weather and infrastructure constraints. As one vendor noted: <italic>&#x201C;Most of them come from Surabaya and Mataram. The food waste problem worsens when there are high waves or bad weather, which delays ship schedules, causing so many fruits go bad.&#x201D;</italic></p>
<p>Fruits and vegetables are highly perishable commodities, with total loss rates of 62.8% for vegetables and 45.5% for fruits (<xref ref-type="bibr" rid="ref4">Badan Perencanaan Pembangunan Nasional, 2021</xref>). Contributing factors include the quality of raw materials, packaging type, shipping methods, storage temperature, weather conditions, transport mode, and suboptimal operational handling (<xref ref-type="bibr" rid="ref10">Bartezzaghi et al., 2022</xref>).</p>
</sec>
<sec id="sec17">
<label>3.2</label>
<title>Total food waste by destination</title>
<p>The term &#x2018;destination&#x2019; refers to &#x201C;where material removed from the food supply chain is directed&#x201D; (<xref ref-type="bibr" rid="ref3">Bachtiar et al., 2024</xref>). Findings reveal that over half (58.9%) of food waste in Labuan Bajo is utilized as animal feed, as illustrated in <xref ref-type="fig" rid="fig6">Figure 6</xref>. When disaggregated by producing unit, <xref ref-type="fig" rid="fig7">Figure 7</xref> shows that nearly all producing units direct more than 50% of their food waste to this destination.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Percentage of food waste by destination.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Pie chart showing the disposal methods and percentages for a specific material. Animal feed constitutes 58.9%, landfill is 25.4%, discarded into the sea is 8.7%, sewer or wastewater treatment is 2.9%, open burn is 2.6%, and other methods like refuse, recovered, and biochemical processing each account for less than 1%.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Percentage of food waste by destination and producing unit.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart illustrating waste management practices across various sectors, with percentages for each method: animal feed, landfill, discarded into the sea, open burn, land application, donated/recovered, sewer/wastewater treatment, refuse/discards/litter. Retailers and caf&#x00E9;s show high rates of animal feed use, while hotels and restaurants have significant landfill contributions.</alt-text>
</graphic>
</fig>
<p>Most households directed their food scraps toward use as pig feed, while some provided leftovers to household animals such as chickens, ducks, cats, or dogs. Similarly, in the non-HW sector, the majority of food waste was given to pigs, with a smaller proportion fed to chickens, ducks, or pet birds.</p>
<p>The collection system for this destination is typically facilitated through a bucket deposit method, where pig farmers leave containers to be filled with food scraps and later retrieved. This practice is widespread, as many small-scale pig farmers in the area collect food waste not only from nearby residents but also from hotels, restaurants, retailers, traditional markets, and tourist boats, either free of charge or through informal payment arrangements.</p>
<p>Food waste is widely regarded in Labuan Bajo as an alternative resource of animal feed. Using it as pig feed is a common and accepted practice, also observed in other countries such as Sri Lanka and South Korea (<xref ref-type="bibr" rid="ref39">Jayathilake et al., 2022</xref>; <xref ref-type="bibr" rid="ref68">Salemdeeb et al., 2017</xref>). This approach aligns with the food recovery hierarchy and is considered environmentally sustainable. A life cycle assessment (LCA) demonstrated that utilizing household food waste as animal feed results in lower environmental and health impacts compared to composting or anaerobic digestion (<xref ref-type="bibr" rid="ref68">Salemdeeb et al., 2017</xref>).</p>
<p>This practice is especially noteworthy given the pressures of modernization brought about by tourism. Despite these changes, traditional small homesteading remains prevalent among the original inhabitants of Labuan Bajo. Moreover, the collective spirit of the community is reflected in initiatives like the bucket system, which may be difficult to replicate in more urbanized tourist destinations. However, in cases where the amount of food waste available for use as livestock feed is insufficient, households are compelled to tear open garbage bags and sort waste item by item in order to secure adequate supplies. Such practices are undertaken by men, women, and children without protective equipment, thereby increasing the risk of injury from sharp objects, exposure to hazardous substances, and transmission of disease.</p>
<p>The second most common destination for food waste is disposal at landfill (25.4%), as shown in <xref ref-type="fig" rid="fig6">Figure 6</xref>. Food waste from the non-HW sector, which is served by the Department of Environment and Land Management (DLHP) waste collection services, is entirely directed to this facility. Some households also dispose of their food scraps in waste bins at nearby communal facilities, which are subsequently transported to landfill. The landfill in Labuan Bajo is Tempat Pemrosesan Akhir (TPA) Warloka, a newly constructed 0.2-hectare site built in 2021 to accommodate the region&#x2019;s tourism-driven waste management demands (<xref ref-type="bibr" rid="ref13">Bisnis, 2022</xref>; <xref ref-type="bibr" rid="ref64">Patroli Post, 2022</xref>).</p>
<p>The third most common destination is marine disposal (8.7%), highlighting the need for improved food waste management in coastal and marine sectors. This practice was observed in several coastal households that cited convenience as the main reason, as well as in all sampled phinisi tourist ships. As these ships typically operate on multi-day voyages, food waste is discarded promptly to prevent odors and pests. Some crew members reported that they only discard waste that sinks and can be consumed by fish, while others reported discarding all food waste.</p>
<p>Although ship crews are officially instructed by the Port Authority (KSOP) to dispose of waste at the Port Security Enforcement Unit (Kesatuan Pelaksanaan Pengamanan Pelabuhan) disposal facility, field findings show that this protocol is not always followed. According to the International Convention for the Prevention of Pollution from Ships (MARPOL) 73/78 Annex V, food waste may legally be discharged into the sea only if it is macerated to &#x2264;25&#x202F;mm and disposed of at least 12 nautical miles from the coastline. However, many ships do not comply with this regulation (<xref ref-type="bibr" rid="ref76">Sukirno and Purnomo, 2024</xref>).</p>
<p>Our findings indicate that most phinisi crew members were unaware of these maritime waste disposal rules, and instead believed that discarded food was harmless since it would be eaten by marine animals. In addition to impacting aesthetics, the discharge of food waste and nutrient-rich greywater into the sea can lead to marine eutrophication and oxygen depletion (<xref ref-type="bibr" rid="ref81">Vaneeckhaute, 2021</xref>), which further destabilize coral ecosystems and increase coral mortality (<xref ref-type="bibr" rid="ref51">Lesser, 2021</xref>), threatening one of Labuan Bajo&#x2019;s major tourism attractions.</p>
<p>In addition to the three main destinations described above, there are several context-specific food waste destinations driven by the lack of formal waste collection services by the Department of Environment and Land Management (DLHP) for households. These include open burning (2.6%), land application (0.5%) where waste is buried, and refuse/discard/litter (0.4%), where food waste is simply thrown into the backyard.</p>
<p>Other destinations include wastewater disposal (2.9%), primarily for liquid waste such as beverages, coffee/tea grounds, and vegetable broth; donation (0.4%); biochemical processing (0.1%) mainly the conversion of used cooking oil into biodiesel; and offsite transport with unknown final destinations (0.1%).</p>
<p>Overall, food waste management practices in Labuan Bajo show positive outcomes, with most food waste not ending up in landfills. Among the most promising practices is the use of food waste as animal feed, which holds substantial economic potential. Studies suggest that substituting agricultural and industrial food waste for up to 25% of commercial feed ingredients can reduce feed costs by up to 48%, without compromising animal growth performance (<xref ref-type="bibr" rid="ref86">Widayati et al., 2019</xref>), provided that nutritional content, safety, and supply sustainability are maintained (<xref ref-type="bibr" rid="ref40">Jayathilake et al., 2022</xref>).</p>
<p>Conversely, marine disposal and open burning require policy intervention and community education to promote more environmentally sound alternatives. Such efforts are aligned with the development of a sustainable circular food system.</p>
</sec>
<sec id="sec18">
<label>3.3</label>
<title>Total food waste by material type</title>
<p>Based on material type, food waste can be classified into edible parts (&#x201C;any substance, whether processed, semi-processed, or raw, intended for human consumption&#x201D;) and inedible parts, which include &#x201C;components not meant to be consumed by humans, such as bones, rinds, pits, and stones&#x201D; (<xref ref-type="bibr" rid="ref87">World Resource Institute, 2016</xref>). In Labuan Bajo in 2024, edible parts constituted 55% of the total food waste, while inedible parts accounted for the remaining 45%, as illustrated in <xref ref-type="fig" rid="fig8">Figure 8</xref>.</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Percentage of food waste by material type.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Pie chart showing the composition of a whole, with 55% in green labeled as "Edible parts" and 45% in orange labeled as "Inedible parts."</alt-text>
</graphic>
</fig>
<p>When disaggregated by food waste producing unit as shown in <xref ref-type="fig" rid="fig9">Figure 9</xref>, the edible portion composition across business units was ranging from 36 to 88%. The highest proportion of edible parts was recorded on speedboats (88%), followed by bakeries and food stalls (64%), hotels (63%), and traditional markets (62%). In contrast, the lowest shares of edible parts were observed in caf&#x00E9;s (36%), restaurants (43%), and phinisi ships (49%).</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Percentage of food waste by material type and producing unit.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g009.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart showing the percentage of edible and inedible parts across different sectors. Households, traditional markets, hotels, food stalls, retailers, and bakeries show more than 50% edible parts. Restaurants, Phinisi ships, caf&#x00E9;s have more inedible parts, while speedboats have 88% edible and 12% inedible parts.</alt-text>
</graphic>
</fig>
<p>Speedboats, which exhibited the highest proportion of edible parts (88%), indicating a predominance of avoidable food waste, are typically used for one-day tourist trips to nearby attractions. Passengers are provided with pre-packaged lunch boxes, and uneaten contents from these meals constitute the primary source of food waste. The high proportion of edible parts is likely due to the pre-packaged nature of these meals, which may not align with individual preferences. A recent meta-analysis found that food waste from lunch boxes occurs because consumers are unable to select their preferred meals or adjust portion sizes (<xref ref-type="bibr" rid="ref37">Guimar&#x00E3;es et al., 2024</xref>). This issue may be compounded by the diverse nationalities and dietary preferences of tourists visiting Labuan Bajo, increasing the probability of a mismatch between meals provided and individual tastes.</p>
<p>In contrast, caf&#x00E9;s reported the lowest proportion of edible parts, primarily due to limited menu variety and simpler food items. As a result, most food waste in caf&#x00E9;s consists of inedible parts, such as coffee grounds, fruit peels, and other inedible remnants. This contrast reflects how various characteristics of food service such as business type, service style, duration of operation, average number of customers, distribution method, product pricing, and menu type, significantly influence the volume and composition of food waste generated (<xref ref-type="bibr" rid="ref78">Tomaszewska et al., 2024</xref>; <xref ref-type="bibr" rid="ref37">Guimar&#x00E3;es et al., 2024</xref>; <xref ref-type="bibr" rid="ref2">Afzal et al., 2022</xref>).</p>
<p>Interestingly, households showed a relatively high share of edible parts (54%), exceeding those observed in some commercial establishments, such as restaurants (43%), caf&#x00E9;s (36%), and phinisi boats (49%). Interviews revealed that this may be linked to household behaviors in which leftover food is intentionally discarded in larger quantities to serve as feed for domestic livestock. This practice may reduce the sense of guilt associated with wasting food. Similarly, <xref ref-type="bibr" rid="ref65">Qi et al. (2021)</xref> found that households in China that kept livestock and regularly used food waste as animal feed produced 75% more food waste than other rural households.</p>
</sec>
<sec id="sec19">
<label>3.4</label>
<title>Total food waste by material status</title>
<p>Food waste can be categorized by material status into three groups: consumable (food considered fit for human consumption), non-consumable (food considered unfit for consumption due to spoilage, mold, texture changes, expiration, or contamination), and technically consumable (food that is not typically consumed by the local population due to cultural norms or limited knowledge, but is actually fit for consumption and commonly eaten in other regions) (<xref ref-type="bibr" rid="ref3">Bachtiar et al., 2024</xref>).</p>
<p>In Labuan Bajo, food waste in 2024 was predominantly composed of non-consumable items, accounting for 73% of the total. <xref ref-type="fig" rid="fig10">Figure 10</xref> shows that consumable food waste made up 24%, while technically consumable items represented the remaining 3%.</p>
<fig position="float" id="fig10">
<label>Figure 10</label>
<caption>
<p>Percentage of food waste by material status.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g010.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Pie chart depicting food categories with percentages: Non-consumable (NC) at 73% in red, Consumable (C) at 24% in green, and Technically Consumable (TC) at 3% in yellow.</alt-text>
</graphic>
</fig>
<p>Among food waste-generating units, the highest proportion of consumable food waste was observed on speedboats (88%), followed by phinisi boats (39%), hotels (38%), and caf&#x00E9;s (34%), as illustrated in <xref ref-type="fig" rid="fig11">Figure 11</xref>. As previously discussed, the high percentage on speedboats is primarily due to pre-packaged lunch boxes that are not fully consumed by tourists, largely due to differences in dietary preferences and taste, resulting in a significant portion of consumable items being discarded.</p>
<fig position="float" id="fig11">
<label>Figure 11</label>
<caption>
<p>Percentage of food waste by material status and producing unit.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g011.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart showing consumable, technically consumable, and non-consumable percentages across various sectors. Households, traditional markets, hotels, restaurants, food stalls, Phinisi ships, caf&#x00E9;s, retailers, speedboats, and bakeries are categorized. Most sectors have high non-consumable percentages, especially traditional markets and retailers. Speedboats have the highest consumable rate at 88%.</alt-text>
</graphic>
</fig>
<p>In phinisi boats, hotels, and caf&#x00E9;s, the high proportion of consumable waste is influenced by buffet-style service and food safety protocols, including standard operating procedures (SOPs) for shelf life and food storage. Buffet services often lead to more food waste because customers are less constrained by portion control, knowing they pay a fixed price regardless of how much they consume (<xref ref-type="bibr" rid="ref37">Guimar&#x00E3;es et al., 2024</xref>). Similarly, many hotels employ a &#x201C;serve endless, eat endless&#x201D; concept as part of their luxury offerings, which enhances perceived value (<xref ref-type="bibr" rid="ref32">Gannon et al., 2022</xref>). To maintain food safety, high-end hotels often prefer to discard leftover food rather than repurpose or re-serve it (<xref ref-type="bibr" rid="ref18">Chawla et al., 2021</xref>). Comparable practices are observed in restaurants, where strict quality assurance standards significantly influence the quantity of waste generated (<xref ref-type="bibr" rid="ref56">McAdams et al., 2019</xref>).</p>
<p>In contrast, traditional markets (5%) and retailers (15%) showed the lowest proportions of consumable food waste. This pattern is linked to efforts by business operators to minimize economic loss by avoiding the disposal of food that remains fit for consumption. Such items are typically discarded only after they exceed consumption safety thresholds or fail to sell even after price reductions or reprocessing (<xref ref-type="bibr" rid="ref67">Riesenegger and H&#x00FC;bner, 2022</xref>). Retailers and bakeries also implement several strategies to prevent waste, such as maintaining accurate data, forecasting demand precisely, adjusting product volume and variety, applying differentiated handling procedures, and employing recovery tactics like dynamic pricing or repurposing leftover ingredients into new products (<xref ref-type="bibr" rid="ref67">Riesenegger and H&#x00FC;bner, 2022</xref>).</p>
<p>Technically consumable waste was most frequently found in food stalls (13%) and restaurants (8%). Examples of such waste include grated coconut residue, carrot and potato peels, cucumber seeds and skins, cabbage cores, and chicken tails. These materials are typically not consumed in Labuan Bajo or by the general public, even though they are safe to eat, with or without further processing. In some regions, however, these items are regularly utilized, for example, grated coconut residue is used to make <italic>tempe bongkrek</italic> in Purwokerto, Central Java (<xref ref-type="bibr" rid="ref33">Ghaffar, 2023</xref>), or repurposed into <italic>serundeng</italic> and other dishes (<xref ref-type="bibr" rid="ref75">Suariani et al., 2025</xref>). Food stalls tend to produce more grated coconut residue due to the use of fresh coconuts for coconut milk, while restaurants often discard vegetable peels for presentation and aesthetic reasons.</p>
<p>One strategy to reduce technically consumable food waste is to improve public awareness and culinary skills related to the utilization of such materials. Parts of fruits and vegetables that are commonly discarded such as peels, seeds, and stems, often contain beneficial nutrients including carotenoids, fiber, enzymes, and polyphenols. In some cases, these components contain even higher nutrient concentrations than the edible flesh (<xref ref-type="bibr" rid="ref12">Bhardwaj et al., 2022</xref>). For instance, potato peels contain 3.24&#x202F;mg of iron per 100 grams, which is nearly double the iron content found in chicken eggs (1.67&#x202F;mg per 100 grams) (USDA FDC). These nutritional potential warrants further exploration, both to reduce food waste and to promote the use of underutilized food parts as functional sources of nutrition.</p>
</sec>
<sec id="sec20">
<label>3.5</label>
<title>Total food waste by recovery potential</title>
<p>The percentage of recoverable food waste is derived from the combined total of food waste classified as <italic>consumable</italic> or <italic>technically consumable</italic>, and categorized as <italic>edible parts</italic>. While not all of this waste is practically suitable for donation as ready-to-eat food, it represents significant potential for prevention, reduction, or repurposing through various strategies. These may include reprocessing technically consumable items, reducing plate waste, transforming surplus ingredients or meals into new products, or redistributing food to those in need to benefit food-insecure communities.</p>
<p>Approximately one-quarter (24%) of food waste in Labuan Bajo falls into the recoverable category, while the remaining 76% is considered non-recoverable, as illustrated in <xref ref-type="fig" rid="fig12">Figure 12</xref>. Further breakdown in <xref ref-type="fig" rid="fig13">Figure 13</xref> shows that the highest proportions of recoverable food waste were observed in speed boats (87%), followed by food stalls (43%), hotels (38%), and phinisi boats (36%). In contrast, the lowest percentages were found in traditional markets (5%), retail outlets (14%), and bakeries (15%).</p>
<fig position="float" id="fig12">
<label>Figure 12</label>
<caption>
<p>Percentage of food waste by recovery potential.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g012.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Pie chart showing two sections: "Non Potentially Recoverable" at seventy-six percent in brown and "Potentially Recoverable" at twenty-four percent in red.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig13">
<label>Figure 13</label>
<caption>
<p>Percentage of food waste by recovery potential and producing unit.</p>
</caption>
<graphic xlink:href="frsus-07-1734957-g013.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing potentially recoverable and non-potentially recoverable percentages across various sectors. Households have 21% potentially recoverable. Traditional markets have 5%. Hotels have 38%. Restaurants are 25%. Food stalls are 43%. Phinisi ships are 36%. Caf&#x00E9;s are 34%. Retailers are 14%. Speedboats have the highest at 87%. Bakeries are 15%.</alt-text>
</graphic>
</fig>
<p>The primary reason speed boats rank highest aligns with the explanation in the previous section. The pre-packaged lunch boxes served on speed boats might contain menu items that do not match tourists&#x2019; preferences, resulting in a high volume of consumable food being discarded.</p>
<p>In food stalls, hotels, and phinisi boats, recoverable parts are generally composed of plate waste, plain rice, and side dishes that are discarded despite remaining fit for consumption. Plate waste is among the leading contributors to food waste in the hotel, restaurant, and catering sectors; second only to overproduction and quality deterioration (<xref ref-type="bibr" rid="ref2">Afzal et al., 2022</xref>). This is closely linked to the buffet-style serving systems adopted by some food stalls and hotels, as well as all phinisi boats. However, it is often difficult to determine whether the waste originates from consumer plates or leftover food on buffet trays, especially in larger hotel operations, which may limit the development of targeted intervention strategies.</p>
<p>Although 24% of food waste is potentially recoverable, only 0.44% is currently redistributed through donations. This figure originates from a single chili vendor in the traditional market who routinely donates unsellable chilies to farmers for use as seeds. Meanwhile, some hotels, restaurants, and food stalls reported having engaged in food donation, though only occasionally rather than through regular surplus redistribution.</p>
<p>In hotels, although no routine donation of surplus food was reported, many allow staff to consume leftover food. However, three out of 10 hotels specifically premium four- and five-star establishments stated that staff were not permitted to consume leftover breakfast items. This restriction does not appear to be based on direct assessment of food safety, but rather reflects institutional risk management practices. Higher-tier hotels tend to prioritize brand protection, liability avoidance, and operational efficiency, leading them to adopt more conservative surplus food handling policies, even when food remains fit for consumption. This approach is consistent with previous findings that stricter internal controls in upscale hotels are often associated with higher levels of food waste (<xref ref-type="bibr" rid="ref79">Tuan et al., 2024</xref>). Nonetheless, these hotels have adopted alternative recovery strategies, such as repurposing surplus food into new menu items, for example, converting leftover bread into <italic>bagelen</italic> (toasted sweet bread).</p>
<p>Despite the theoretical potential to recover 24% of food waste, the current lack of recovery and donation practices warrants serious attention. Food redistribution not only helps reducing waste generation but also addresses food insecurity. Studies have shown that a lack of awareness about food waste issues and their environmental impacts, as well as limited resources, are key barriers to redistributing surplus food (<xref ref-type="bibr" rid="ref23">Derqui and Filimonau, 2024</xref>).</p>
<p>Currently, there are no structured food redistribution systems such as food banks operating in Labuan Bajo. The establishment of such institutions could assist businesses in diverting surplus food without the burden of additional resources. However, findings from Pakistan show that many restaurants continue to donate surplus food informally to their staff and surrounding communities, despite lacking access to formal redistribution systems. These practices are seen as practical, cost-effective, and still contribute meaningfully to food waste reduction (<xref ref-type="bibr" rid="ref2">Afzal et al., 2022</xref>). The active engagement of community members with local churches could also be leveraged to facilitate these donations, as demonstrated by eight southwestern states in the USA (<xref ref-type="bibr" rid="ref60">Mousa and Freeland-Graves, 2017</xref>).</p>
<p>In the Labuan Bajo context, food waste is even considered a valuable resource by some segments of the population, particularly pig farmers, who often compete for access to it. This creates a challenge in shifting the use of food waste from animal feed to human consumption, despite the principles of the food recovery hierarchy, which prioritize human consumption over animal feed whenever possible.</p>
</sec>
<sec id="sec21">
<label>3.6</label>
<title>Environmental impact</title>
<p>The environmental impact of food waste in Labuan Bajo for 2024 as shown in <xref ref-type="table" rid="tab6">Table 6</xref> includes the emission of 15,395,611 kg of CO&#x2082;-eq greenhouse gas emission, a soil quality index impact of 820,441,660 points, and a water footprint of 30,382,529 m<sup>3</sup>-eq. The greenhouse gas emissions associated with food waste are equivalent to the emissions produced by coal-fired power plants generating 20,527,481 kWh of electricity. This amount of energy could supply the annual electricity needs in a year of 3,637 households, or approximately 12% of Labuan Bajo&#x2019;s population.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Environmental impact of food waste in Labuan Bajo city in 2024.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Environmental impact</th>
<th align="center" valign="top">Result</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Greenhouse gas emissions</td>
<td align="center" valign="middle">15,395,611 kg CO&#x2082;-eq</td>
</tr>
<tr>
<td align="left" valign="middle">Land use index</td>
<td align="center" valign="middle">820,441,660 points</td>
</tr>
<tr>
<td align="left" valign="middle">Water footprint</td>
<td align="center" valign="middle">30,382,529 m<sup>3</sup>-eq</td>
</tr>
<tr>
<td align="left" valign="middle">Estimated number of households whose annual electricity needs in 1 year can be met from the converted GHG emissions to energy (kWh)</td>
<td align="center" valign="middle">3,637 households</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As the global population and food demand continue to rise, food waste represents a significant loss of critical resources such as water and land, while also contributing to GHG emissions across all stages of the food supply chain (<xref ref-type="bibr" rid="ref87">World Resource Institute, 2016</xref>). These emissions further exacerbate the climate crisis. Although the immediate impacts may not be directly felt by communities in Labuan Bajo, evidence suggests that the effects of climate change are beginning to emerge. A joint study conducted by several Non-Governmental Organizations (NGOs) reported increasingly unpredictable seasonal patterns, which have disrupted the traditional knowledge systems of local fishers, making it difficult for them to plan their fishing schedules. This shift has led to a decline in reliance on marine resources and a sharp decrease in the number of active fishers (<xref ref-type="bibr" rid="ref29">Floresa, 2025</xref>). Moreover, the Komodo dragon, Labuan Bajo&#x2019;s most iconic tourism attraction and one of the species surviving in the last remaining safe havens, is also under threat (<xref ref-type="bibr" rid="ref41">Jones et al., 2020</xref>). Global warming, particularly rising temperatures and sea levels, is projected to reduce the Komodo dragon&#x2019;s habitat in Komodo National Park by over 30% within the next 45&#x202F;years (<xref ref-type="bibr" rid="ref38">IUCN, 2021</xref>).</p>
<p>Food waste generated by the hospitality and food service sectors has a higher environmental impact per kilogram compared to waste from the healthcare and other business sectors (<xref ref-type="bibr" rid="ref57">Meier et al., 2021</xref>). A lack of awareness regarding the environmental consequences of food waste, coupled with limited capacity among businesses to measure both its volume and impact, presents a significant challenge. Yet, accurate measurement can yield strategic benefits. Businesses that adopt sustainability principles especially within the tourism and hospitality sectors, stand to gain economic advantages through cost efficiency and revenue diversification, as well as environmental benefits through the reduction of resource consumption and emissions (<xref ref-type="bibr" rid="ref73">Siti, 2024</xref>). Addressing food waste is therefore becoming increasingly urgent, particularly given the prevailing public perception in Labuan Bajo, where awareness remains low and both community and governmental efforts are still predominantly focused on plastic waste.</p>
</sec>
<sec id="sec22">
<label>3.7</label>
<title>Nutritional loss</title>
<p>The total nutritional loss resulting from food waste in Labuan Bajo throughout 2025 is estimated at 3,443,616.995 kilocalories as shown in <xref ref-type="table" rid="tab7">Table 7</xref>. Theoretically, this amount could meet the daily calorie intake needs of approximately 1,639,818 individuals in 1 day, or equivalent to feeding the entire population of Labuan Bajo for 56&#x202F;days. However, this estimate only accounts for calorie content and does not include other essential macronutrients such as protein, fat, and carbohydrates. Therefore, the figure reflects only general calorie sufficiency and not overall nutritional adequacy.</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Nutritional loss from food waste in Labuan Bajo city in 2024.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Nutritional loss</th>
<th align="center" valign="top">Amount</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Calorie loss</td>
<td align="center" valign="middle">3,443,616.995&#x202F;kcal</td>
</tr>
<tr>
<td align="left" valign="middle">Number of people whose daily calorie intake needs could be met</td>
<td align="center" valign="middle">1,639,818 people</td>
</tr>
<tr>
<td align="left" valign="middle">Equivalent number of days to feed the entire population of Labuan Bajo</td>
<td align="center" valign="middle">56&#x202F;days</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>However, the calculation of calorie content was conducted in detail, referring to both Indonesian and international food composition databases. For traditional foods not listed in these databases, estimations were carried out manually using online recipe references and retrieving calorie content data of ingredients from the Indonesian Food Composition Table (<xref ref-type="bibr" rid="ref43">Kementerian Kesehatan Republik Indonesia, 2020</xref>). This approach demonstrates that the quantification method applied was contextual and took into account the availability of local data, thereby producing results that more accurately reflect actual conditions in the field.</p>
<p>According to <xref ref-type="bibr" rid="ref19">Chen et al. (2020)</xref> the average global per capita food waste is approximately 65&#x202F;kg per year, which could provide 25 daily nutrients for 18&#x202F;days. In comparison, food waste in Labuan Bajo shows a threefold higher potential for meeting daily calorie intake needs per person than the global average, though this analysis is limited to calorie content and excludes other nutrients. These findings highlight food waste as a substantial potential energy source that could contribute to food security in the region. This aligns with findings in West Java, where nutrient losses from food loss and waste in 2018 accounted for 15.98% of daily calorie requirements and 16.45% of protein adequacy levels, reinforcing the urgency to address food waste&#x2019;s nutritional impact (<xref ref-type="bibr" rid="ref27">Fatimah et al., 2022</xref>).</p>
<p>According to Law No. 18 of 2012, food security is defined as the fulfillment of food needs at both national and individual levels, characterized by the availability of sufficient, safe, nutritious, diverse, equitable, and affordable food. Food waste significantly undermines food security, with research showing a negative correlation between food waste and food security levels in urban areas (<xref ref-type="bibr" rid="ref72">Shabanali Fami et al., 2021</xref>), affecting all four dimensions of food security: availability, access, utilization, and stability (<xref ref-type="bibr" rid="ref62">Obiedzi&#x0144;ska, 2017</xref>).</p>
<p>This issue is particularly relevant in East Nusa Tenggara Province, which has the second-highest stunting prevalence in Indonesia at 37.9% and West Manggarai Regency, where Labuan Bajo is located, reports a stunting rate of 36.2% (<xref ref-type="bibr" rid="ref42">Kemenkes BKPK, 2023</xref>), which, according to WHO classifications, is categorized as high (&#x003E;20%). Stunting reflects chronic malnutrition and deficiencies, leading to irreversible long-term health consequences (<xref ref-type="bibr" rid="ref15">BPKRI, 2022</xref>). Alarmingly, despite this high nutritional burden, large amounts of edible food continue to be wasted.</p>
<p>Preventing and reducing food waste that is still fit for consumption is a highly effective strategy to improve food security, particularly by increasing access to nutritious food for vulnerable groups such as elder, children, and women-headed household (<xref ref-type="bibr" rid="ref61">Ngumbela et al., 2020</xref>). A study in West Java indicated that if food waste could be reduced by 50%, rice availability would increase by 643,930 tons per year (<xref ref-type="bibr" rid="ref27">Fatimah et al., 2022</xref>). These findings suggest that the potential for food recovery could be significantly amplified if similar policies and interventions were widely implemented across other regions.</p>
</sec>
<sec id="sec23">
<label>3.8</label>
<title>Economic losses</title>
<p>Food waste represents the loss of substantial embedded resources, including energy, labor, seeds, water, as well as capital and operational expenditures associated with distribution and consumption. When food is left unconsumed, these resources are irretrievably wasted. Moreover, additional expenses are incurred for the collection, transportation, and treatment of discarded materials. Such inefficiencies not only reduce the availability of vital resources but also impose significant economic losses across the entire food supply chain (<xref ref-type="bibr" rid="ref87">World Resource Institute, 2016</xref>).</p>
<p>In Labuan Bajo, the real and potential economic losses from food waste are estimated to reach IDR 61 billion (&#x2248;USD 3.7 million) and IDR 95 billion (&#x2248;USD 5.7 million) per year, respectively as shown in <xref ref-type="table" rid="tab8">Table 8</xref>, equivalent to 1.4% and 2.2% of the regional GDP or comparable to the cost of IDR 4,255 billion (&#x2248;USD 255.6 million) (<xref ref-type="bibr" rid="ref8">Badan Pusat Statistik Kabupaten Manggarai Barat, 2025</xref>).</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>Economic losses from food waste in Labuan Bajo city in 2024.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Economic impact</th>
<th align="left" valign="top">Amount</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Food ingredients cost</td>
<td align="left" valign="middle">IDR 59,940,636,511&#x202F;&#x2248;&#x202F;USD 3,596,438</td>
</tr>
<tr>
<td align="left" valign="middle">Selling price</td>
<td align="left" valign="middle">IDR 93,708,106,608&#x202F;&#x2248;&#x202F;USD 5,622,486</td>
</tr>
<tr>
<td align="left" valign="middle">Waste collection cost or retribution</td>
<td align="left" valign="middle">IDR 1,401,914,014&#x202F;&#x2248;&#x202F;USD 84,115</td>
</tr>
<tr>
<td align="left" valign="middle">Actual losses</td>
<td align="left" valign="middle">IDR 61,342,550,526&#x202F;&#x2248;&#x202F;USD 3,683,179</td>
</tr>
<tr>
<td align="left" valign="middle">Potential losses</td>
<td align="left" valign="middle">IDR 95,110,020,622&#x202F;&#x2248;&#x202F;USD 5,706,601</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>According to 2023 data from Statistics Indonesia (<xref ref-type="bibr" rid="ref6">Badan Pusat Statistik Kabupaten Manggarai Barat, 2023</xref>), the average monthly per capita expenditure on food in West Manggarai Regency is IDR 541,077 (&#x2248;USD 32.50). Meanwhile, the estimated monthly per capita loss from food waste in Labuan Bajo households amounts to IDR 79,517 (&#x2248;USD 4.78). This suggests that approximately 15% of household food expenditure is potentially lost due to food waste. This percentage is lower than findings from a study in Daegu, South Korea, where household food waste losses reached up to 32% of food expenditure (<xref ref-type="bibr" rid="ref1">Adelodun et al., 2021</xref>). The difference may be due to the fact that most households in Labuan Bajo are not yet subject to waste transport fees, which reduces their financial burden for waste management.</p>
<p>Although only approximately 25% of food waste in Labuan Bajo is ultimately disposed of at the landfill, the total cost of transporting such waste has already exceeded IDR 1.4 billion (&#x2248;USD 84,100). This cost could be substantially higher in regions where the majority of food waste is directly sent to landfill. Beyond the financial burden, landfilling remains the least efficient and least sustainable waste management option (<xref ref-type="bibr" rid="ref74">Slorach et al., 2019</xref>). Nevertheless, some stakeholders, particularly business operators, have voiced concerns over the requirement to pay waste management fees. As one speedboat crew member explained: <italic>&#x201C;Most of our leftover food and plastic waste is already collected by local residents, so very little remains. Still, we are required to pay the waste fee because it is a prerequisite for obtaining a travel permit.&#x201D;</italic></p>
<p>It is therefore more advantageous to divert food waste toward higher-value treatment pathways, as exemplified by current practices in Labuan Bajo, where food waste is repurposed as animal feed and waste cooking oil is converted into biodiesel. Resources presently allocated for waste transport and incineration fuel could be more effectively invested in processing food waste into value-added products, such as bioenergy, bioplastics, biosurfactants, or other bioactive compounds with commercial potential, thereby contributing to the advancement of the circular economy (<xref ref-type="bibr" rid="ref53">Liu et al., 2023</xref>). Nonetheless, prevention remains the most effective and efficient strategy, both economically and environmentally, when compared to all other waste treatment options (<xref ref-type="bibr" rid="ref74">Slorach et al., 2019</xref>).</p>
</sec>
<sec id="sec24">
<label>3.9</label>
<title>Causes and drivers</title>
<p>Based on interview findings, the drivers of food waste can be grouped into three main categories: consumer internal, food management, and food quality and safety standards factors. These categories encompass a total of 13 specific drivers, as presented in <xref ref-type="table" rid="tab9">Table 9</xref>.</p>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>Causes and drivers of food waste generation.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Causes</th>
<th align="left" valign="top">Drivers</th>
<th align="left" valign="top">Definition</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="5">Internal factors</td>
<td align="left" valign="middle">1) Consumer food preferences</td>
<td align="left" valign="middle">A combination of various factors that influence consumer acceptance toward certain foods, such as taste, texture, temperature, portion size, habits, and cultural background.</td>
</tr>
<tr>
<td align="left" valign="middle">2) Physiological conditions (age and eating difficulties)</td>
<td align="left" valign="middle">Specific physiological conditions that result in eating difficulties, or<break/>age-related factors (e.g., elderly or children) that prevent individuals from finishing their food.</td>
</tr>
<tr>
<td align="left" valign="middle">3) Culture and eating behavior</td>
<td align="left" valign="middle">Values, habits, socio-cultural norms, or environmental conditions that influence eating behavior, such as an increased amount of food during certain events or occasions, leading to unfinished meals.</td>
</tr>
<tr>
<td align="left" valign="middle">4) Consumer purchasing behavior</td>
<td align="left" valign="middle">Consumer behavior and habits during shopping, such as the tendency to choose products with the best quality or those with the latest expiration dates.</td>
</tr>
<tr>
<td align="left" valign="middle">5) Perception of food safety</td>
<td align="left" valign="middle">The perception that certain foods are unsafe to consume, although they may still be safe if processed and consumed properly</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Food management factors</td>
<td align="left" valign="middle">1) Management of food handling and storage</td>
<td align="left" valign="middle">A component of food service management practices, covering food preparation, purchasing, and storage of ingredients.</td>
</tr>
<tr>
<td align="left" valign="middle">2) Food preparation and handling practices</td>
<td align="left" valign="middle">A part of food service operations encompassing the preparation and processing of ingredients, serving, as well as post-consumption handling and food waste management.</td>
</tr>
<tr>
<td align="left" valign="middle">3) Inaccurate sales estimation</td>
<td align="left" valign="middle">The determination of the estimated quantity of food purchased or cooked that does not align with the actual sales, resulting in overproduction exceeding actual demand.</td>
</tr>
<tr>
<td align="left" valign="middle">4) Human error</td>
<td align="left" valign="middle">Human errors that result in food waste, such as accidents, poor supervision, or insufficient understanding of Standard Operating Procedures (SOPs).</td>
</tr>
<tr>
<td align="left" valign="middle">5) Poor ingredient quality</td>
<td align="left" valign="middle">Poor ingredient quality caused by environmental factors, inadequate infrastructure for distribution and storage, and improper handling methods that render some or all food parts unfit for consumption.</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Food quality and safety standard factors</td>
<td align="left" valign="middle">1) Food safety risks</td>
<td align="left" valign="middle">Factors that render food unsafe for human consumption, such as contamination by animals or pests.</td>
</tr>
<tr>
<td align="left" valign="middle">2) Market standards</td>
<td align="left" valign="middle">High market standards commonly applied in retail, restaurants, star-rated hotels, and phinisi boats offering premium services, often requiring strict aesthetic criteria.</td>
</tr>
<tr>
<td align="left" valign="middle">3) Internal regulatory standards</td>
<td align="left" valign="middle">Standard Operating Procedures (SOPs) implemented by each business unit to ensure operational quality in relation to customer satisfaction, food quality, and food safety.</td>
</tr>
<tr>
<td align="left" valign="middle">Causes of FLW</td>
<td align="left" valign="middle">Tourism factors</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Influence of tourism destination</td>
<td align="left" valign="middle">Fluctuating tourist demand</td>
<td align="left" valign="middle">Tourist arrivals vary daily/seasonally, making it hard for businesses to accurately predict food needs, leading to overproduction.</td>
</tr>
<tr>
<td align="left" valign="middle">Buffet and all-you-can-eat culture</td>
<td align="left" valign="middle">Hotels, resorts, and restaurants often offer buffets to cater to tourists, which encourages over-preparation and results in higher plate waste.</td>
</tr>
<tr>
<td align="left" valign="middle">Diverse and multinational guest preferences</td>
<td align="left" valign="middle">Tourists from different countries demand variety and have varied dietary preferences, so establishments prepare multiple or unfamiliar dishes, some of which remain unsold and go to waste.</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Within the consumer internal factors category, drivers include consumer food preferences, physiological conditions such as old age and chewing difficulties, cultural and behavioral eating patterns, purchasing behavior, and perceptions of food safety. These findings highlight that consumer-generated food waste results from a complex interplay of internal and external factors. Social, individual, and behavioral aspects are influenced by motivation (awareness, subjective norms, and attitudes), opportunity (access and supporting infrastructure), and ability (knowledge and skills) to manage food-related behaviors (<xref ref-type="bibr" rid="ref84">Wakefield and Axon, 2024</xref>).</p>
<p>Under the food management category, food waste often arises from inefficient food handling, suboptimal preparation practices, inaccurate sales forecasting, low-quality raw materials, and human error. Therefore, the responsibility for food waste cannot be placed solely on consumers. A case study of five HORECA (Hotels, Restaurants, Caf&#x00E9;s/Catering) businesses in Malaysia found that internal policies and operational practices systematically contribute to food waste. Kitchen waste was the largest contributor, followed by unserved food and plate waste (<xref ref-type="bibr" rid="ref63">Papargyropoulou et al., 2019</xref>). Demand uncertainty also emerged as a primary cause of overproduction. In this context, data-driven menu planning and flexible menu design that incorporate surplus edible food have proven effective in reducing food waste, lowering ingredient costs by 4%, and decreasing environmental impacts by 11&#x2013;19% (<xref ref-type="bibr" rid="ref66">Remijnse et al., 2025</xref>).</p>
<p>Beyond the business sector, food management also affects household-level food waste, alongside sociodemographic factors, since effective consumption planning requires adequate knowledge and skills (<xref ref-type="bibr" rid="ref83">Vesel&#x00E1; et al., 2023</xref>). Among the 21 household respondents, 18 were women, underscoring their predominant role in food management from preparation and cooking to waste handling. With most men working outside the home, women&#x2019;s roles are central for sustaining daily food practices and meeting the nutritional needs of children and the elderly, while also minimizing food waste.</p>
<p>The third category, food quality and safety standards, includes drivers such as concerns about food safety risks, high market standards, and strict internal operating procedures. In addition, consumer behavior that prioritizes aesthetic appeal drives retailers to adopt strict visual standards, thereby increasing food waste (<xref ref-type="bibr" rid="ref40">Jayathilake et al., 2022</xref>). While some good practices for food waste prevention and management were observed among respondents, each driver requires tailored interventions that consider the specific context of each food waste-generating unit. Therefore, prevention strategies must be designed holistically, incorporating managerial and operational aspects of food businesses, along with behavioral changes tied to social norms and practices (<xref ref-type="bibr" rid="ref63">Papargyropoulou et al., 2019</xref>).</p>
<p>Lastly, another important factor influencing food waste is the nature of tourism destinations. In tourist-heavy areas, fluctuating demand, buffet and all-you-can-eat offerings, and the diverse preferences of multinational guests often lead businesses to prepare excess food, some of which remains uneaten. These dynamics add complexity to food waste management, as businesses must anticipate unpredictable customer numbers and cater to varied tastes, which can result in overproduction and increased plate waste. Addressing these challenges requires interventions that consider both operational planning and customer behavior within the tourism context. Various measures proposed to address this waste include improving food literacy, moderating food preparation according to actual demand, recognizing sustainable practices through business awards, and promoting innovative initiatives like zero-waste restaurants (<xref ref-type="bibr" rid="ref22">Delgado et al., 2023</xref>).</p>
</sec>
</sec>
<sec id="sec25">
<label>4</label>
<title>Study limitations</title>
<p>It is important to note that the food waste data presented in this study is subject to certain limitations. First, the research does not encompass all food waste producing units in Labuan Bajo; educational institutions, offices, healthcare facilities, street vendors, and other potential sources were excluded due to resource constraints. Nonetheless, the selected scope offers a comprehensive representation of food service establishments, both land-based and boat-based; an essential consideration given the distinctive marine tourism context of Labuan Bajo. Study sectors were chosen to capture diversity within subcategories, including retail types, market vendor classifications, eatery categories, and hotel star ratings, thereby enhancing the representativeness of the sample.</p>
<p>Second, while sampling was conducted on both weekdays and weekends, external factors such as weather conditions may have introduced variability. However, extrapolation is considered valid, as samples were selected representatively and grouped according to similar characteristics within each category. Certain small fractions of food waste, such as residual cooking oil, beverages, and waste from incidental events, were difficult to weigh directly and therefore relied on respondents&#x2019; recall; in some cases, staff declined to provide estimates due to insufficient information.</p>
<p>Third, some secondary data obtained from local government sources may not fully reflect the most current conditions, necessitating supplementation from alternative sources (e.g., updated hotel star classifications). Fourth, data collection within food service businesses was not always accompanied by staff, potentially limiting access to supplementary contextual information. Finally, future research could adopt a stronger Gender Equality, Diversity, and Social Inclusion (GEDSI) approach to generate more comprehensive and inclusive insights.</p>
</sec>
<sec sec-type="conclusions" id="sec26">
<label>5</label>
<title>Conclusion</title>
<p>This study is the first to examine food waste in Labuan Bajo comprehensively, addressing disposal destinations, material types and status, recovery potential, and associated environmental, nutritional, and economic impacts, as well as the underlying causes and drivers across multiple distribution and consumption sectors. Total food waste generated in Labuan Bajo in 2024 was estimated at 4,836 tons, with non-household sources accounting for a slightly larger share than households (51%). The predominance of food waste from the non-household sector underscores the substantial influence of tourism on waste generation and highlights the considerable potential for surplus food recovery. Key drivers identified in this study include consumer-related factors, suboptimal food management practices, food quality and safety standards, and tourism-related influences.</p>
<p>The majority of food waste in Labuan Bajo was diverted to animal feed (58.9%). The local practice of repurposing food waste as livestock feed, particularly for pigs, is a valuable tradition that warrants preservation and enhancement, especially in the context of urbanization and emerging food safety concerns. Edible components constituted more than half of the total waste (55%), and approximately one-quarter (24%) remained suitable for human consumption and had the potential to be recovered. In terms of material type and status, edible and consumable food waste should be prioritized for prevention and recovery for human consumption, while edible but non-consumable waste can be reduced through improved food management practices.</p>
</sec>
<sec id="sec27">
<label>6</label>
<title>Recommendations</title>
<p>To translate these findings into actionable outcomes, municipal leadership must play a coordinating role in establishing a clear governance framework for food waste reduction in Labuan Bajo. The local government (West Manggarai Regency and Labuan Bajo municipality) should adopt a municipal bylaw or mayoral regulation that formally recognizes food waste as a priority waste stream within tourism development planning. Such regulation could mandate basic source segregation for large food waste generators, strengthen waste handling systems and infrastructure including port waste facilities for boat operators, and incentivize private local waste management initiatives. Integrating food waste indicators into routine tourism and environmental monitoring would help ensure that waste reduction targets evolve alongside tourism growth.</p>
<p>Tourism operators including hotels, restaurants, caf&#x00E9;s, and boat operators, are key implementation actors, given their significant contribution to non-household food waste. Sector-specific policy instruments, such as periodic tourism waste audits coordinated by environmental agencies and the local tourism office, should be introduced. Green incentives, including reduced waste retribution fees, public sustainability recognition, or preferential licensing, could encourage businesses to reduce avoidable food waste or adopt prevention measures. For marine tourism operators, stricter enforcement of MARPOL Annex V obligations, combined with targeted crew training, is recommended to eliminate marine disposal of food waste.</p>
<p>With nearly 60% of food waste currently diverted to pig feed, pig farmers represent an essential but underregulated stakeholder in Labuan Bajo&#x2019;s circular food system. Local authorities should support basic feed safety guidelines and voluntary certification schemes for food-waste-based animal feed, supported by technical assistance from environmental and agricultural agencies. Formalizing this practice would reduce health risks, protect livelihoods, and elevate animal feed use within the waste hierarchy, while ensuring that edible, consumable food is prioritized for human recovery wherever feasible.</p>
<p>Finally, the low rate of food redistribution underscores the need to strengthen food waste prevention and recovery at the top of the waste hierarchy. The municipality, in collaboration with civil society organizations, religious institutions, and tourism associations, should facilitate localized food redistribution networks that enable food businesses to safely redirect surplus edible food. Clear liability guidance, standardized donation protocols, and basic cold-chain or collection infrastructure would lower participation barriers and embed waste hierarchy and circular bioeconomy principles into municipal policy.</p>
<p>Following the completion of the study, the research team presented the findings to local stakeholders in Labuan Bajo through a focus group discussion held on 7 August 2025. The discussion generated several recommendations, including strengthening community education to raise awareness of food waste issues, supported by local regulations and adequate facilities financed through regional public budgets (APBD), as well as fostering inclusive collaboration among all stakeholders. It was further emphasized that follow-up actions and interventions should recognize and incorporate women&#x2019;s central role in household food management and community life, thereby reinforcing and building upon the study&#x2019;s results.</p>
<p>Ultimately, the findings of this study provide a foundation for developing evidence-based, context-specific, and sustainable strategies, policies, and targets for food waste management, ensuring that the benefits of tourism growth in Labuan Bajo remain within the region&#x2019;s ecological and social carrying capacities.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec28">
<title>Data availability statement</title>
<p>The datasets presented in this article are not readily available because of confidentiality restrictions. Requests to access the datasets should be directed to Eva Bachtiar, <email xlink:href="mailto:eva@gardapangan.org">eva@gardapangan.org</email>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec29">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies involving humans because this study followed nationally approved standards for waste quantification and obtained an official permit from the local authority, the Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) of West Manggarai Regency, authorizing all data collection activities. In addition, the study did not involve confidential or sensitive personal data, as the information collected was limited to direct weighing of food waste and non-sensitive interviews related to operational practices. Despite the absence of formal ethics board approval, the research was conducted in accordance with standard ethical principles. Written informed consent, including permission to take photographs for publication purposes, was obtained from all participants. All participants were informed in advance about the purpose of the research, how their data would be used, assurances of anonymity, and any potential risks and benefits of participation. Participation was voluntary, and participants could withdraw at any time. Data privacy and confidentiality were ensured by anonymizing all identifiers and reporting only aggregated results, so that no individual or institution could be identified or harmed. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec30">
<title>Author contributions</title>
<p>EB: Conceptualization, Investigation, Writing &#x2013; review &#x0026; editing, Supervision, Validation, Formal analysis, Methodology. AN: Investigation, Conceptualization, Visualization, Formal analysis, Data curation, Methodology, Project administration, Writing &#x2013; review &#x0026; editing. GL: Visualization, Formal analysis, Project administration, Writing &#x2013; original draft, Investigation, Methodology. BL: Conceptualization, Validation, Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing. HS: Validation, Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing. PR: Supervision, Validation, Conceptualization, Writing &#x2013; review &#x0026; editing, Funding acquisition. RP: Conceptualization, Writing &#x2013; review &#x0026; editing, Supervision, Funding acquisition, Validation. SC: Supervision, Writing &#x2013; review &#x0026; editing, Conceptualization, Funding acquisition, Validation.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank Fondation Botnar and Yayasan Humanis dan Inovasi Sosial for the development of this report as part of the implementation of Urban Futures program in Indonesia.</p>
</ack>
<sec sec-type="COI-statement" id="sec31">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec32">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec33">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec34">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/frsus.2026.1734957/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/frsus.2026.1734957/full#supplementary-material</ext-link></p>
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<fn fn-type="custom" custom-type="edited-by" id="fn0001"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/91327/overview">Elena Cristina Rada</ext-link>, University of Insubria, Italy</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1279684/overview">Am&#x00E9;lia Delgado</ext-link>, University of Algarve, Portugal</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2633870/overview">Ramona Giurea</ext-link>, Lucian Blaga University of Sibiu, Romania</p></fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbrev1"><label>Abbreviations:</label><p>FLW, Food Loss and Waste; HW, Household Waste; non-HW, Non-Household Waste; GHG, Green House Gas.</p></fn>
</fn-group>
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