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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Variance : Journal of Statistics and Its Applications
Aldawiyah, Najwa Khoir
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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.
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 Toha Saifudin