Factors Affecting the Resilience Index Food in Papua Province and West Papua Province Using a Spatial Model Approach
DOI:
https://doi.org/10.36456/jstat.vol17.no1.a9087Keywords:
Food Security Index, Spatial Regression, Papua Province, West Papua Province, Lagrange Multiplier (Error)Abstract
The Food Security Index is a measure of indicators to produce a composite value that reflects the status of food security in a region. Food security plays an important role in sustainable development, including food availability, environmental preservation and economic balance, as well as being the basis for economic growth, preventing poverty and inequality. In Indonesia, with an estimated population growth of 430 million people in 2050, the challenge of meeting food needs is increasing. Indonesia's commitment to the Sustainable Development Goals (SDGs) includes efforts to end hunger and promote sustainable agriculture. This research aims to apply spatial regression analysis to the Provinces of Papua and West Papua to determine the best model and significant factors that influence the Food Security Index in the region in order to identify the challenges faced by the region in calculating the food availability of its people as well as assist in developing efforts to overcome them. Five predictor variables were used with the assumption that they have a significant influence on the Food Security Index. This research examines the spatial regression equation using the SAR, SEM and SARMA regional approaches. The results obtained showed that the selected SEM model with a p-value of 0.0082581 was appropriate for identifying the dependence of spatial effects on Food Security Index in Papua Province and West Papua Province. Life Expectancy at Birth, Prevalence of Stunting Toddlers, Percentage of Poor Population, Open Unemployment Rate, and Average Length of Life are significant factors that influence the Food Security Index in Papua Province and West Papua spatially.
References
Y. Purwaningsih, “Ketahanan Pangan: Situations, Problems, Policies and Community Empowerment,” J. Ekon. Pembang., vol. 9, no. 1, pp. 1–27, 2008. DOI: https://doi.org/10.23917/jep.v9i1.1028
V. V Rumawas, H. Nayoan, and N. Kumayas, “Peran Pemerintah Dalam Mewujudkan Ketahanan Pangan di Kabupaten Minahasa Selatan (Studi Dinas Ketahanan Pangan Minahasa Selatan),” Governance, vol. 1, no. 1, pp. 1–8, 2021.
R. Chaireni, D. Agustanto, R. A. Wahyu, and P. Nainggolan, “Ketahanan Pangan Berkelanjutan,” J. Kependud. dan Pembang. Lingkung., vol. 1, no. 2, pp. 70–79, 2020, [Online]. Available: jkpl.ppj.unp.ac.id/index.php/JKPL/article/view/13
R. Khairati and R. Syahni, “Respons Permintaan Pangan Terhadap Pertambahan Penduduk Di Sumatera Barat,” J. Pembang. Nagari, vol. 1, no. 2, p. 19, 2016, doi: 10.30559/jpn.v1i2.5. DOI: https://doi.org/10.30559/jpn.v1i2.5
J. Cai, E. Ma, J. Lin, L. Liao, and Y. Han, “Exploring global food security pattern from the perspective of spatio-temporal evolution,” J. Geogr. Sci., vol. 30, no. 2, pp. 179–196, 2020, doi: 10.1007/s11442-020-1722-y. DOI: https://doi.org/10.1007/s11442-020-1722-y
A. Dedy Sutrisno, “Kebijakan Sistem Ketahanan Pangan Daerah,” Kebijak. J. Ilmu Adm., vol. 13, no. Vol. 13 No. 1, pp. 28–42, 2022, doi: 10.23969/kebijakan.v13i1.4862. DOI: https://doi.org/10.23969/kebijakan.v13i1.4862
A. Mahmud and E. Pasaribu, “Permodelan Spasial pada Analisis Faktor yang Mempengaruhi Tingkat Pengangguran Terbuka Provinsi Bangka Belitung Tahun 2018,” Eng. Math. Comput. Sci. J., vol. 3, no. 2, pp. 47–58, 2021, doi: 10.21512/emacsjournal.v3i2.7034. DOI: https://doi.org/10.21512/emacsjournal.v3i2.7034
A. Safitri, Baharuddin, Agusrawati, B. Abapihi, Ruslan, and G. N. A. Wibawa, “Pemodelan Faktor-Faktor yang Mempengaruhi Indeks Ketahanan Pangan di Sulawesi Tenggara dengan Spatial Error Model (SEM),” Semin. Nas. Stat. Aktuaria I, 2022.
I. Y. Safitri, M. A. Tiro, and Ruliana, “Spatial Regression Analysis to See Factors Affecting Food Security at District Level in South Sulawesi Province,” ARRUS J. Math. Appl. Sci., vol. 2, no. 2, pp. 60–72, 2022, doi: 10.35877/mathscience740. DOI: https://doi.org/10.35877/mathscience740
P. R. Arum, Y. Fitri, and P. R. Arum, “Analisis Faktor-Faktor Yang Mempengaruhi Indeks Pembangunan Manusia Berdasarkan Kabupaten/Kota Di Jawa Tengah,” J Stat. J. Ilm. Teor. dan Apl. Stat., vol. 16, no. 1, pp. 424–433, 2023, doi: 10.36456/jstat.vol16.no1.a7079. DOI: https://doi.org/10.36456/jstat.vol16.no1.a7079
P. Rismawati Arum, R. Putra Gautama, I. Fitriani, and F. Naza Nurvahyani, “Identifying Factors that Influence Life Expectancy in Central Java Using Spatial Regression Models,” J Stat., vol. 16, no. 2, pp. 605–613, 2023.
