A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS
It is necessary to give concentrated attention to the issue of stunting by implementing appropriate nutrition initiatives to prevent stunted physical and mental development. Optimal food availability is one effective strategy for preventing it. However, it often disregards preferences that guarante...
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Petra Christian University
2024-09-01
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| Series: | Jurnal Teknik Industri |
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| Online Access: | https://jurnalindustri.petra.ac.id/index.php/ind/article/view/28973 |
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| author | Alvin Muhammad ‘Ainul Yaqin Mifthahul Janna Rosyid Vridayani Anggi Leksono Amanda Dwi Wantira |
| author_facet | Alvin Muhammad ‘Ainul Yaqin Mifthahul Janna Rosyid Vridayani Anggi Leksono Amanda Dwi Wantira |
| author_sort | Alvin Muhammad ‘Ainul Yaqin |
| collection | DOAJ |
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It is necessary to give concentrated attention to the issue of stunting by implementing appropriate nutrition initiatives to prevent stunted physical and mental development. Optimal food availability is one effective strategy for preventing it. However, it often disregards preferences that guarantee pleasure, dietary diversity, and compatibility with individual tastes. In this paper, we show a two-step multi-criteria decision model. The AHP is used to figure out the criteria weights, and the TOPSIS method ranks food basket options based on how close they are to the ideal solution. The efficacy of our strategy was subsequently evaluated in Balikpapan, a prominent urban center in Indonesia grappling with the issue of stunting. The evaluation's findings were as follows: nutritional value (27%) was the most significant factor, knowledge of the food ingredients (18%), variety of foods made from the food ingredients (17%), ease of preparation, cooking, and storage (15%), cost (12%), and child preference (11%). The findings indicated that food basket 3, priced at Rp209,857 and yielding 1,854.96 kcal, consisted of rice weighing 3.63 kg, duck egg weighing 1.16 kg, milkfish weighing 0.65 kg, tuna weighing 0.06 kg, cauliflower weighing 0.17 kg, kale weighing 3.46 kg, and dragon fruit weighing 1.87 kg. In addition to nutrition and cost, this study highlights that considering preferences can enhance the appeal of food baskets.
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| format | Article |
| id | doaj-art-9627c01af81b46d1b967fb0a5eb329f3 |
| institution | Kabale University |
| issn | 1411-2485 2087-7439 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Petra Christian University |
| record_format | Article |
| series | Jurnal Teknik Industri |
| spelling | doaj-art-9627c01af81b46d1b967fb0a5eb329f32025-01-08T03:19:55ZengPetra Christian UniversityJurnal Teknik Industri1411-24852087-74392024-09-0126210.9744/jti.26.2.145-156A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSISAlvin Muhammad ‘Ainul Yaqin0Mifthahul Janna Rosyid1Vridayani Anggi Leksono2Amanda Dwi Wantira3Institut Teknologi Kalimantan, BalikpapanInstitut Teknologi Kalimantan, BalikpapanInstitut Teknologi Kalimantan, BalikpapanInstitut Teknologi Kalimantan, Balikpapan It is necessary to give concentrated attention to the issue of stunting by implementing appropriate nutrition initiatives to prevent stunted physical and mental development. Optimal food availability is one effective strategy for preventing it. However, it often disregards preferences that guarantee pleasure, dietary diversity, and compatibility with individual tastes. In this paper, we show a two-step multi-criteria decision model. The AHP is used to figure out the criteria weights, and the TOPSIS method ranks food basket options based on how close they are to the ideal solution. The efficacy of our strategy was subsequently evaluated in Balikpapan, a prominent urban center in Indonesia grappling with the issue of stunting. The evaluation's findings were as follows: nutritional value (27%) was the most significant factor, knowledge of the food ingredients (18%), variety of foods made from the food ingredients (17%), ease of preparation, cooking, and storage (15%), cost (12%), and child preference (11%). The findings indicated that food basket 3, priced at Rp209,857 and yielding 1,854.96 kcal, consisted of rice weighing 3.63 kg, duck egg weighing 1.16 kg, milkfish weighing 0.65 kg, tuna weighing 0.06 kg, cauliflower weighing 0.17 kg, kale weighing 3.46 kg, and dragon fruit weighing 1.87 kg. In addition to nutrition and cost, this study highlights that considering preferences can enhance the appeal of food baskets. https://jurnalindustri.petra.ac.id/index.php/ind/article/view/28973Food basketrankingstuntingpreferencesAHPTOPSIS |
| spellingShingle | Alvin Muhammad ‘Ainul Yaqin Mifthahul Janna Rosyid Vridayani Anggi Leksono Amanda Dwi Wantira A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS Jurnal Teknik Industri Food basket ranking stunting preferences AHP TOPSIS |
| title | A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS |
| title_full | A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS |
| title_fullStr | A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS |
| title_full_unstemmed | A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS |
| title_short | A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS |
| title_sort | preference oriented multi criteria decision model for stunting prevention food basket ranking using ahp topsis |
| topic | Food basket ranking stunting preferences AHP TOPSIS |
| url | https://jurnalindustri.petra.ac.id/index.php/ind/article/view/28973 |
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