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All Journal JOIV : International Journal on Informatics Visualization Jurnal Pilar Nusa Mandiri Jurnal Teknologi Terpadu Jurnal Komunikasi, Sains dan Teknologi (JKST) Journal of Informatics and Advanced Computing Journal of Applied Research In Computer Science and Information Systems Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Maspiyanti, Febri
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : Jurnal Pilar Nusa Mandiri

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IDENTIFICATION OF FOOD DIVERSIFICATION ON JAVA ISLAND USING ARCGIS Murtako, Amir; Hanifa, Faiqa Hadya; Effatha, Eidelwise Gloria; Nursari, Sri Rezeki Candra; Maspiyanti, Febri
Jurnal Pilar Nusa Mandiri Vol. 21 No. 2 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i2.6570

Abstract

Indonesia is addressing the challenges of food security and consumer preference also known as Food diversification. The research aims to analyze the potential of various local food sources as alternatives to rice, which is the dominant staple food in Indonesia, with a particular focus on geographic implications. Although local carbohydrate sources like corn, potatoes, and tubers are available, their adoption is limited and understudied in relation to geographic distribution and consumer behavior. This study integrates survey data and GIS-based spatial analysis to evaluate local food diversification potential. Findings show that while 100% of respondents consume rice, 48.7% have tried alternatives, with limited availability (41.03%) and higher costs (17.95%) as key barriers. With 94.7% expressing willingness to adopt new staples, the results suggest GIS-based decision support systems can guide effective, region-specific food policy interventions.
Co-Authors Adam Nugroho Adrianty, Syahrani Andini Putri, Andini Aniati Murni Arymurthy Deni Septiadi Dona Ines, Monika Effatha, Eidelwise Gloria Erick Fernando B311087192 Fanany, M. Ivan Gatc, Jullend Hadiyanti, Nadya Hanifa, Faiqa Hadya Ionia Veritawati Mastra, Riadika Murtako, Amir Ninuk Wiliani Shabrina Putri