* Corresponding Author
Pemodelan Indeks Ketahanan Pangan di Indonesia Berdasarkan Pendekatan Regresi Logistik Ordinal Data Panel Efek Acak
https://doi.org/10.22146/jkn.86511 Anisa Laila Azhar(1), Suliyanto Suliyanto(2*), Nur Chamidah(3), Elly Ana(4), Dita Amelia(5)
(1) Universitas Airlangga
(2) Universitas Airlangga
(3) Universitas Airlangga
(4) Universitas Airlangga
(5) Universitas Airlangga
(*) Corresponding Author
Abstract
ABSTRACT
Indonesia is an agricultural country with the agricultural sector being an important sector in supporting food needs. Food availability that is less than necessary can lead to an unstable economy, as well as disrupt national food security. This study was conducted to model The Food Security Index (Indeks Ketahanan Pangan, IKP) and to find out what factors affect the status of food security in Indonesia.
The analysis method used in this study is the logistic regression analysis of panel data with random effects. The data used in this study is secondary data related to IKP sourced from the Ministry of Agriculture and factors that are suspected to affect IKP in each province sourced from the Central Statistics Agency (Badan Pusat Statistik, BPS) from 2019 to 2021.
The results of the analysis showed that statistically, the variable percentage of stunted toddlers and the variable percentage of households with access to electricity had a significant effect on the IKP. In addition, the results of the model conformity test showed that the random effect panel data logistic regression model was more in line with the classification accuracy of 50.98% when compared to the standard logistic regression with a classification accuracy of 40.80%.
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Agresti, A., 2002. Categorical Data Analysis. 2nd ed. USA: Jhon Wiley and Sons.
Arifin, N. F. dan Juwita, O., 2022. Klasterisasi Wilayah Kabupaten Jember Berdasarkan Tingkat Ketahanan Pangan. Informatics Journal, 7(2), pp. 95-99.
BKP, 2021. Indeks Ketahanan Pangan 2021, Jakarta: Badan Ketahanan Pangan.
Budiawati, Y. & Natawidjaja, R. S., 2020. Situasi dan Gambaran Ketahanan Pangan di Provinsi Banten Berdasarkan Peta FSVA dan Indikator Ketahanan Pangan. Jurnal Agribisnis Terpadu, 13(2), pp. 187-204.
Gujarati, D., 2004. Applied Econometrics. Singapore: Mc. Graw-Hill International Editions.
Hidayat, A., 2022. Ketahanan Pangan Indonesia Melemah pada 2021.
Diakses di <https://databoks.katadata.co.id/datapublish/2022/03/22/ketahanan-pangan-indonesia-melemah-pada-2021 pada 23 September 2022>.
Hsiao, C., 2014. Analysis of Panel Data. California: Cambrigde University Press.
Matyas, L. dan Sevestre, P., 2008. The Econometrics of Panel Data. 3 penyunt. Berlin: Spinger.
Menard, S., 2010. Logistic Regression: From Introductory to Advanced Concepts and Aplications. California: Sage Publication.
Pemerintah Republik Indonesia, 2012. Undang-Undang Republik Indonesia Nomor 18 Tahun 2012 Tentang Pangan, Jakarta: Sekretariat Negara.
Poernomo, A. dan Winarto, H., 2020. Kemampuan Produksi Sumber Pangan Pokok dan Non Biji-bijian Terhadap Ketahanan Pangan Kabupaten Banyumas. Jurnal Manajemen Bisnis, 17(2), pp. 1411-1977.
Rhofita, E. I., 2022. Optimalisasi Sumber Daya Pertanian Indonesia untuk Mendukung Program Ketahanan Pangan dan Energi Nasional. Jurnal Ketahanan Nasional, 28(1), pp. 81-99.
Rochmah, V. F. dan Ratnasari, V., 2019. Pemodelan Ketahanan Pangan di Jawa Timur Menggunakan Metode Geographically Weighted Ordinal Regression (GWOLR). Jurnal Sains dan Seni ITS, 8(2), pp. 397-404.
Salasa, A. R., 2021. Paradigma dan Dimensi Strategi Ketahanan Pangan Indonesia. Jejaring Administrasi Publik, 13(1), pp. 35-48.
Triwidiyanti, Q. A. F., Tertius, E. P. & Mahmudiono, T., 2018. Perbedaan Dan Pengaruh Indikator Ketahanan Pangan Terhadap Proporsi BBLR Pada Wilayah Pesisir Pulau Jawa (Kabupaten Bangkalan dan Kabupaten Tulungagung). Amerta Nutrion, 2(1), pp. 37-43.
Wado, L. A. L., Sudargo, T. & Armawi, A., 2019. Demografi Ketahanan Pangan Keluarga Dalam Hubungannya Dengan Kejadian Stunting Pada Anak Usia 1 – 5 Tahun (Studi Di Wilayah Kerja Puskesmas Bandarharjo Kelurahan Tanjung Mas, Kecamatan Semarang Utara, Kotamadya Semarang, Provinsi Jawa Tengah). Jurnal Ketahanan Nasional, 25(2), pp. 178-203.
Wardani, C., Jamhari, Hardyastuti, S. & Suryantini, A., 2019. Kinerja Ketahanan Beras Di Indonesia: Komparasi Jawa Dan Luar Jawa Periode 2005-2017. Jurnal Ketahanan Nasional, 25(1), pp. 107-130.
Widyandini, S., 2016. Pemodelan Ketahan Pangan Provinsi di Indonesia berdasarkan Konsumsi Energi menggunakan Metode Probit Data Panel, Surabaya: Institut Teknologi Sepuluh November.
Wijanto, 2008. Structural Equation Modeling dengan Lisrel 8.8. Yogyakarta: Graha Ilmu.
Zheng, Z., Liu, Z., Liu, C. dan Shiwakoti, N., 2014. Understanding Public Response to A Congestion Charge: A Random-Effecct Ordered Logit Approach. Transportation Research, Volume 70, pp. 117-134.
DOI: https://doi.org/10.22146/jkn.86511
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