Determinan Ketahanan Pangan di Indonesia (Pendekatan Integratif Berbasis Regresi dan Klasterisasi K-Means)
Authors
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Maulia Siti Mukharohmah
Universitas Tidar Indonesia https://orcid.org/0009-0002-0017-5049
- Reni Eka Septiani
Universitas Tidar Indonesia https://orcid.org/0009-0006-2340-4288- Nurul Fadhilah
Universitas Tidar Indonesia- Retno Rekayati
Universitas Tidar IndonesiaKeywords:
food security, k-means clustering, poverty, rice productivity, social capitalAbstract
Food security has become a central focus of government policy. However, 44% of Indonesia's provinces still record a Food Security Index below the national average. This study aims to identify the economic, agricultural, and social factors influencing food security and to classify provinces based on these characteristics through spatial visualization. The main scientific contribution of this study lies in integrating regression analysis, regional clustering, and spatial mapping to reveal interprovincial food security patterns in Indonesia, which remain underexplored in the existing literature. An integrative methodological approach was employed, combining multiple linear regression analysis, k-means clustering, and spatial analysis. Secondary data cover 34 Indonesian provinces in 2023 and are obtained from Statistics Indonesia and the National Food Agency, with analyses conducted using Stata 17 and ArcGIS 10.8. The empirical results indicate that poverty levels significantly and negatively affect the Food Security Index, while rice productivity and the social capital index exert positive influences. Spatially, provinces in Eastern Indonesia tend to exhibit the highest poverty levels, Java and Bali record the highest rice productivity, and the highest levels of social capital are concentrated in several provinces in Central and Eastern Indonesia. The study provides a scientific foundation for policy formulation on food security enhancement and offers a clear framework for establishing intervention priorities tailored to regional characteristics. These findings enhance the empirical understanding of the determinants and spatial patterns of food security in Indonesia, although this study does not incorporate climatic factors or market access as explanatory variables. The study provides a scientific foundation for policy formulation on food security enhancement and offers a clear framework for establishing intervention priorities tailored to regional characteristics.
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Ainistikmalia, N., Kharisma, B., & Budiono, B. (2022). Analisis kemiskinan multidimensi dan ketahanan pangan Provinsi Kalimantan Utara. Jurnal Ekonomi dan Pembangunan Indonesia, 22(1), 72–97. https://doi.org/10.21002/jepi.2022.05
Ainun Nisa, N., & Lubis, F. R. A. (2025). Determinan ketahanan pangan di Indonesia: Pendekatan data panel. Socius: Jurnal Penelitian Ilmu-Ilmu Sosial, 2(6), 312–317. https://doi.org/10.5281/zenodo.14788643
Amaliah, D. (2015). Pengaruh partisipasi pendidikan terhadap persentase penduduk miskin. Jurnal Ilmiah Kependidikan, 2(3), 231–239. https://doi.org/10.30998/fjik.v2i3.595
Ardhiansyah, D. I., & Setyowati, E. (2024). Analisis faktor-faktor yang mempengaruhi produktivitas padi di jawa timur. COSTING: Journal of Economic, Business and Accounting, 7(6), 10826–10839. https://journal.ipm2kpe.or.id/index.php/COSTING/article/view/14202
Badan Pangan Nasional. (2024). Indeks ketahanan pangan (IKP) tingkat provinsi tahun 2024 (12 indikator). Retrieved September 11, 2025, from https://data.badanpangan.go.id/datasetpublications/elm/ikp-provinsi-2024-backcasting
Badan Pusat Statistik. (2024). Luas panen, produksi, dan produktivitas padi menurut provinsi. Retrieved May 18, 2025, from https://www.bps.go.id/id/statistics-table/2/MTQ5OCMy/luas-panen-produksi-dan-produktivitas-padi-menurut-provinsi.html
Chong, B. (2021). K-means clustering algorithm: A brief review. Academic Journal of Computing & Information Science, 4(5). https://doi.org/10.25236/AJCIS.2021.040506
Eka Rahma, F., Yulihar, A. R., Ciptawaty, U., & Suparta, I. W. (2023). Ketahanan pangan di Indonesia tahun 2014–2021. Bullet: Jurnal Multidisiplin Ilmu, 2(2), 376–381. https://journal.mediapublikasi.id/index.php/bullet
Fitri Yenny, N., & Anwar, K. (2020). Pengaruh jumlah penduduk terhadap pertumbuhan ekonomi di Kota Lhokseumawe. Jurnal Ekonomika Indonesia, 9(2), 26–31. https://doi.org/10.29103/ekonomika.v9i2.3181
Gujarati, D. N., & Porter, D. C. (2015). Dasar-dasar ekonometrika (Buku 2, Edisi ke-5; R. C. Mangunsong, Trans.). Salemba Empat.
Kodewilayah.id. (2025). Referensi lengkap nama dan kode wilayah se-Indonesia. Retrieved September 19, 2025, from https://kodewilayah.id/
Prabayanti, H., Sutrisno, J., & Antriyandart, E. (2022). Determinan ketahanan pangan di Provinsi Jawa Tengah. Jurnal Pangan, 31(3), 191–270. https://doi.org/10.33964/jp.v31i3.629
Prayitno, G., Maulida, B., Tjahja, A., Ngadireso, A. D., Poncokusumo, K., & Malang, K. (2019). Modal sosial, ketahanan pangan, dan pertanian berkelanjutan Desa Ngadireso, Indonesia. REGION: Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif, 14(2), 229–243. https://doi.org/10.20961/region.v14i2.30018
Puspitasari, M., & Akhmad, D. (2020). Analysis of factors affecting rice productivity in Sambas District, West Kalimantan. Jurnal Pertanian Agros, 22(2), 312–322. https://doi.org/10.37159/jpa.v22i2.1236
Rachmaningsih, T., & Priyarsono, D. S. (2012). Ketahanan pangan di Kawasan Timur Indonesia. Jurnal Ekonomi dan Pembangunan Indonesia, 13(1), 1–18. https://doi.org/10.21002/jepi.v13i1.01
Risvenjaya, E., Yuliawan, D., & Andrian, T. (2024). Analisis indeks ketahanan pangan di Provinsi Sumatera Selatan. Journal on Education, 7(1), 8516–8524. https://doi.org/10.31004/joe.v7i1.7690
Setiawan, A., Andrian, D., & Asta, S. W. (2019). Aplikasi metodologi dan statistik penelitian. Nuha Medika.
Sihombing, P. R. (2022). Aplikasi Stata untuk statistisi pemula. Gamela.
Sujarweni, V. W. (2019). Metodologi penelitian bisnis & ekonomi. Pustaka Baru Press.
Surury, I. (2020). Buku praktikum Stata. Universitas Muhammadiyah Jakarta.
Tanjung, F. A., Windarto, A. P., & Fauzan, M. (2021). Penerapan metode K-means pada pengelompokan pengangguran di Indonesia. Jurnal Riset Sistem Informasi dan Teknik Informatika (JURASIK), 6(1), 61–74. https://doi.org/10.30645/jurasik.v6i1.271
Todaro, M. P., & Smith, S. C. (2015). Pembangunan ekonomi (Edisi ke-12). Erlangga.
World Bank. (2024). Population, total—Indonesia. Retrieved June 25, 2025, from https://data.worldbank.org/indicator/SP.POP.TOTL?locations=ID
Published
2025-12-29How to Cite
Mukharohmah, M. S., Septiani, R. E., Fadhilah, N., & Rekayati, R. (2025). Determinan Ketahanan Pangan di Indonesia (Pendekatan Integratif Berbasis Regresi dan Klasterisasi K-Means). JIA (Jurnal Ilmiah Agribisnis) : Jurnal Agribisnis Dan Ilmu Sosial Ekonomi Pertanian, 10(6), 638–649. https://doi.org/10.37149/jia.v10i6.2430Issue
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ArticlesDigital Object Identifierhttps://doi.org/10.37149/jia.v10i6.2430Copyright & LicensingCopyright (c) 2025 Maulia Siti Mukharohmah, Reni Eka Septiani, Nurul Fadhilah, Retno Rekayati

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