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Analisis Spasial Ketahanan Pangan di Indonesia Tahun 2022 dengan Model Geographically Weighted Logistic Regression Agustinningtyas, Diska; Syukri, Irfan; Choiri Nisa, Gusvia; Cengga, Gloria Stephany Haman; Ikhsanudin, Muhammad Rafi; Budiasih
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 1 (2024): Vol. 8 No. 1, Mei 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i1.438

Abstract

The crisis in food security is a problem in many countries including Indonesia. The crisis is important to pay attention to, in order to realize sustainable food security in accordance with the second Sustainable Development Goals (SDGs) of zero hunger. Achieving food security cannot be separated from making appropriate and targeted policies. Policy making must be supported by accurate, comprehensive and systematic food security information. This study aimed to classify districts/cities in Indonesia into food-secure and food-prone areas and analyze the factors that influence the food security status. The data were analyzed descriptively and inferentially where clustering with k-means method for food security status classification and Geographically Weighted Logistic Regression (GWLR) modeling with Adaptive Gaussian kernel function weights which provided the best model with the smallest Akaike Information Criterion corrected (AICc) compared to other kernels to see the spatial influence in determining the food security condition of a district/city. The results showed that in 2022 there were 388 districts/cities with food security status and 126 districts/cities with food insecurity status. In addition, of the 9 variables used in clustering, there are 5 variables used in GWLR modeling. Three of them are significant in all regions in Indonesia, while 1 variable is locally significant in some regions.
Pengaruh Pertumbuhan Ekonomi, Industrialisasi, Kepadatan Penduduk, dan Transportasi terhadap Kualitas Udara di Kabupaten/Kota Jabodetabek Tahun 2020-2022 Syukri, Irfan; Soebijarto, Ekaria
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 9 No 1 (2025): Vol. 9 No. 1, Mei 2025
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v9i1.510

Abstract

Unhealthy air quality is an annual problem that has yet to be resolved in many countries, including Indonesia. The government has made many efforts, especially the Ministry of Environment and Forestry (KLHK), to overcome the low air quality as part of its annual report agenda. However, air quality in DKI Jakarta, Banten, and West Java, especially the Jabodetabek regencies/cities, still needs improvement. That aligns with the conditions in Jabodetabek, which is densely populated and has transportation, high economic activity, and the concentration of industry that has begun to shift from the core area to the buffer zone. Therefore, this study will review the effect of economic growth, industrial agglomeration, population density, and transportation on air quality in Jabodetabek with the Random Effect Model (REM). The results show that increasing industrial agglomeration and population density significantly affect the decreasing of air quality in the Jabodetabek regencies/cities.