Aldawiyah, Najwa Khoir
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ANALISIS FAKTOR KEMISKINAN DI PROVINSI SUMATERA UTARA BERDASARKAN REGRESI KOMPONEN UTAMA Aldawiyah, Najwa Khoir; Astuti, Aprillia; Kurnia, Rizky Dwi; Amalia, Nadinta Kasih; Amelia, Dita; Mardianto, M. Fariz Fadillah; Ana, Elly
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 1 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss1page63-74

Abstract

Kemiskinan merupakan permasalahan terkait kesejahteraan masyarakat yang serius dan menjadi indikator keberhasilan ekonomi dari suatu negara. Provinsi Sumatera Utara merupakan salah satu provinsi dengan jumlah penduduk miskin terbanyak dengan total 1,2 juta jiwa di pulau Sumatera pada tahun 2022. Tujuan penelitian ini yaitu menangani masalah multikolinearitas pada faktor-faktor yang mempengaruhi kemiskinan di Provinsi Sumatera Utara dengan menggunakan analisis komponen utama. Data yang diperoleh merupakan data yang didapatkan dari Badan Pusat Statistik Provinsi Sumatera Utara. Terdapat 8 variabel prediktor yang digunakan dan terbentuk 3 komponen utama dengan keragaman total sebesar 84,5%. Komponen utama yang terbentuk kemudian diregresikan dan diperoleh persamaan . Model regresi tersebut terbebas dari masalah multikolinearitas dan ketiga komponen secara signifikan berpengaruh terhadap jumlah penduduk miskin di Provinsi Sumatera Utara.
MODELING INDONESIA'S FOOD SECURITY INDEX USING SPATIAL ECONOMETRIC PANEL APPROACH Amelia, Dita; Suliyanto, Suliyanto; Aldawiyah, Najwa Khoir; Zhafira, Azizah Atsariyyah
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 2 (2026): Volume 10, Nomor 2, April 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i2.53267

Abstract

Food security is a pressing issue for economic stability and public well-being in Indonesia, where the 2020–2022 Food Security Index (FSI) remained at Priority 4 which indicate low provincial food security. This study examines the determinants of FSI across 34 provinces from 2020 to 2023 using a spatial panel approach to capture both temporal and spatial spillovers. Secondary data from the National Food Agency and the Central Statistics Agency (BPS) include poverty rate, electricity and clean water access, Desirable Dietary Pattern (DDP) score, per capita caloric intake, and mean years of schooling. Analysis employed panel regression and spatial-panel models particularly corporating the spatial fixed effects model. The SAR-FE model provided the best fit, with a significant positive spatiall ag coefficient. This study emphasizes that FSI in one province is influenced by neighboring provinces. These spillover effects highlight the interconnectedness of provincial food security and emphasizing that interventions in one region can affect adjacent areas. The combination of spatial and panel methodologies with individual fixed effects defines the novelty of this research. Such an approach, which is rarely utilized in the context of Indonesian food security, uncovers provincial-level spillover dynamics that previous studies relying solely on either spatial or panel frameworks tended to ignore. Findings provide actionable insights for coordinated regional policies and contribute to Sustainable Development Goal 2 (Zero Hunger) by promoting more equitable food availability and accessibility.