Main Article Content

Abstract

Indonesia, a developing nation, boasts a vast population of 263 million individuals. Despite this, many of the population still live in impoverished conditions, leading to a notable unemployment rate of 14.23% in Aceh, equivalent to 804,530 individuals. The Central Statistics Agency (BPS) suggests that community welfare can be gauged by food sufficiency, encompassing calorie and protein intake. This research uses logistic regression analysis to examine the determinants of food security at the household level. Logistic regression was chosen due to the categorical nature of the variables under study, specifically the classification of food security (0) and food insecurity (1). The independent variables considered in this research comprise the frequency of aid (X1), household head income (X2), family size (X3), aid amount (X4), and household perceptions of food assistance (X5). The findings reveal that the household's perception of food assistance is the most influential factor affecting household food security in Gampong Klieng Manyang. The resulting logistic regression model is represented as g(x) = -15.299 – 18.879 X1 – 0.000 X2 – 0.238 X3 – 18.460 X4 + 0.425 X5. In logistic regression, the coefficients are interpreted through odds ratios. Notably, the frequency of the aid variable exhibits the highest odds ratio, underscoring its significance in shaping household food security in Gampong Klieng Manyang, Sukamakmur District, Aceh Besar Regency.

Keywords

Food Social Assistance Food Security Logistic Regression

Article Details

How to Cite
Rahmah, A., Fitri, C. D., & Ariyati, N. (2025). The Impact of Food Social Assistance on Household Food Security In An Islamic Perspective. Golden Ratio of Data in Summary, 5(3), 514–523. https://doi.org/10.52970/grdis.v5i3.1232

References

  1. Akrasi, R. O. , Eddico, P. N. , & Adarkwah, R. (2020). Income Diversification Strategies and Household Food Security among Rice Farmers: Pointers to Note in the North Tongu District of Ghana. Journal of Food Security, 8(3), 77–88. https://doi.org/10.12691/jfs-8-3-1
  2. Badan Pusat Statistic Aceh. (2024). Jumlah Penduduk Miskin menurut Klasifikasi Desa/Kota (Ribu Jiwa).
  3. Cafiero, C., Viviani, S., & Nord, M. (2019). Food security measurement in a global context: The food insecurity experience scale. Measurement: Journal of the International Measurement Confederation, 116, 146–152. https://doi.org/10.1016/j.measurement.2017.10.065
  4. Ghozi, S. , Ramli., & Setiarini, A. (2018). Analisis Keputusan Nasabah Dalam Memilih Jenis Bank: Penerapan Model Regresi Logistik Biner (Studi Kasus Pada Bank Bri Cabang Balikpapan). Media Statistika, 11(1), 17–26. https://doi.org/10.14710/medstat.11.1.17-26
  5. Hasimi, D. M. (2020). Analisis Program Bantuan Pangan Non Tunai (Bpnt) Guna Meningkatkan Kesejahteraan Masyarakat Dalam Perspektif Ekonomi Islam. REVENUE: Jurnal Manajemen Bisnis Islam, 1(01), 61–72. https://doi.org/10.24042/revenue.v1i01.5762
  6. Hermawan, I. , Rahayu, C. S. , & Sulaeman. (2019). Metodelogi penelitian pendidikan kuantitatif, kualitatif dan mixed methode. Hq Kuningan.
  7. Joko Subianto. (2020). Relasi suami istri sebagai penanggung jawab nafkah keluarga. Relasi Suami Istri Sebagai Penanggung Jawab Nafkah Keluarga.
  8. Olabu, F., Saleh, S. E., & Dai, S. I. (2024). Analisis Pengaruh Program Bantuan Pangan Non-Tunai (BPNT) dan Program Keluarga Harapan (PKH) Terhadap Kemiskinan. Economic Reviews Journal, 3(4). https://doi.org/10.56709/mrj.v3i4.470
  9. Rachman, A. (2021). Paradigma dan Dimensi Strategi Ketahanan Pangan Indonesia Paradigm and Dimensions of Indonesia's Food Security Strategy. In Jejaring Administrasi Publik (Vol. 13, Issue 1).
  10. Risdayanti., & Aidid, M. K. (2020). Analisis Regresi Logistik Biner Untuk Menentukan Model Pengguna Kb Dikelurahan Langnga Kabupaten Pinrang. Variansi: Journal of Statistics and Its Application on Teaching and Research, 1(2). https://doi.org/10.35580/variansi.v1i2.9354
  11. Safitri, A. , Sudarmin., & Nusrang, M. (2019). Model Regresi Logistik Biner pada Tingkat Pengangguran Terbuka di Provinsi Sulawesi Barat Tahun 2017. VARIANSI: Journal of Statistics and Its Application on Teaching and Research, 1(2), 1. https://doi.org/10.35580/variansiunm9354
  12. Saputri, R. , Lestari, L. A. , & Susilo, J. (2020). Pola konsumsi pangan dan tingkat ketahanan pangan rumah tangga di kabupaten Kampar Provinsi Riau.
  13. Sugiyono. (2018). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Penerbit Alfabeta, Bandung.
  14. Sugiyono. (2022). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. . Bandung: Alfabeta.
  15. Tampil, A. Y., Komalig, H., & Langi, Y. (2017). Analisis Regresi Logistik Untuk Menentukan Faktor-Faktor Yang Mempengaruhi Indeks Prestasi Kumulatif (IPK) Mahasiswa FMIPA Universitas Sam Ratulangi Manado.
  16. Wambogo, S., O. B., Dean, W., Ghattas, H., & Sahyoun, N. R. (2018). Validity of the Food Insecurity Experience Scale (FIES) for Use in League of Arab States (LAS) and Characteristics of Food Insecure Individuals by the Human Development Index (HDI).
  17. Zakiah. (2016). Food Security and Poverty in Aceh Province.

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.