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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Variance : Journal of Statistics and Its Applications Jurnal Ilmiah Ilmu Terapan Universitas Jambi
Aldawiyah, Najwa Khoir
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Education Engineering Industrial & Manufacturing Engineering Mathematics

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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.
Analysis of Geographically Weighted Logistic Regression Models with A Bisquare Weighting Matrix on Poverty Status in West Java Saifudin, Toha; Chamidah, Nur; Aldawiyah, Najwa Khoir; Marthabakti, Citrawani; Ramadhanti, Aulia; Nahar, Muhammad Hafidzuddin; Muzakki, Naufal
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36315

Abstract

This research addresses the first Sustainable Development Goal and aims to analyze poverty status in West Java Province, which has the second highest number of poor people in Indonesia. The study employs Geographically Weighted Logistic Regression (GWLR) and compares it with global logistic regression. Influential variables include GDP, unemployment, population density, access to safe water, and roof type (bamboo/wood). Results show that 55.6% of regions are classified as poor, with the GWLR model using a Fixed Bisquare kernel achieving 81.4% accuracy, outperforming global logistic regression at 66.7%. Significant variables vary by region: unemployment rate in Bogor, Depok, and Bekasi; population density in Bekasi, Karawang, and Purwakarta; water access in Sukabumi; and roof type in Indramayu and Bogor. These spatial variations suggest that poverty reduction requires a region-specific approach. Consequently, policies should be formulated considering the priorities and characteristics of each region in West Java Province.
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

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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 indicates 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 the poverty rate, access to electricity and clean water, the Desirable Dietary Pattern (DDP) score, per capita caloric intake, and mean years of schooling. Analysis employed panel regression and spatial panel models, particularly the spatial fixed-effects model. The SAR-FE model provided the best fit, with a significant positive spatial lag 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 emphasize 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.
Co-Authors Amalia, Nadinta Kasih Astuti, Aprillia Dita Amelia, Dita Elly Ana Kurnia, Rizky Dwi M. Fariz Fadillah Mardianto Marthabakti, CitraWani Muzakki, Naufal Nahar, Muhammad Hafidzuddin Nur Chamidah Ramadhanti, Aulia Suliyanto Suliyanto Toha Saifudin Zhafira, Azizah Atsariyyah