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All Journal Desimal: Jurnal Matematika J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Jurnal Keperawatan dan Fisioterapi (JKF) ESTIMASI: Journal of Statistics and Its Application Jurnal Abdimas Kartika Wijayakusuma Jurnal Pijar MIPA Jurnal Sintak Basis : Jurnal Ilmiah Matematika Journal of Demography, Etnography, and Social Transformation Jurnal Edukasi Pengabdian Masyarakat: EDUABDIMAS Indonesian Journal of Statistics and Its Applications
Dia Cahya Wati
Sains Data, Universitas Insan Cita Indonesia
Religion Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Mathematics Physics Social Sciences Other

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Analisis Jumlah Tindak Pidana di Sumatera Selatan dengan Regresi Data Panel Tahun 2017-2022 Cahya Wati, Dia; Naufal, Naifi; Retnowati, Sri
DEMOS: Journal of Demography, Ethnography and Social Transformation Vol. 3 No. 2 (2023): Journal of Demography, Etnography and Social Transformation
Publisher : LPPM UIN SULTHAN THAHA SAIFUDDIN JAMBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v3i2.1870

Abstract

Pada tahun 2019, angka kriminalitas di Sumatera Selatan masih tinggi, denganwaktu terjadinya tindak pidana yang terpendek hanya 2 jam. Hal ini menjadi sumberkekhawatiran bagi masyarakat. Kriminalitas merujuk pada perbuatan yang melanggarhukum, yang merugikan korban dan masyarakat dengan mengganggu ketentraman danketertiban. Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yangmemengaruhi tingkat kriminalitas di Sumatera Selatan, dengan mempertimbangkanaspek Sumber Daya Manusia seperti indeks pembangunan manusia, angka rata-ratalama sekolah, pengeluaran per kapita, angka harapan hidup, dan luas wilayah. Data inidianalisis menggunakan metode Analisis Regresi Linier. Hasil penelitian menunjukkanbahwa jumlah tindak pidana di Sumatera Selatan dipengaruhi oleh indekspembangunan manusia, angka rata-rata lama sekolah, pengeluaran per kapita, angkaharapan hidup, dan luas wilayah sebesar 78.82%, sementara 21.18% dipengaruhi olehvariabel lain.
The Model of Per-Capita Expenditure Figures in Sumatera Selatan uses a Geographically Weighted Panel Regression: Model Angka Pengeluaran Per-Kapita di Sumatera Selatan menggunakan Geographically Weighted Panel Regression Wati, Dia Cahya; Azka, Dea Alvionita; Utami, Herni
Indonesian Journal of Statistics and Applications Vol 5 No 1 (2021)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v5i1p61-74

Abstract

The Geographically Weighted Panel Regression (GWPR) is a development of a global regression model where the basic idea is taken from a combination of panel data and GWR. The GWPR model is built from the point approach method, which is based on the position of the coordinates of latitude and longitude. The parameters for the regression model at each location will produce different values. GWPR can accommodate spatial effects, so that it can better explain the relationship between response variables and predictors. The purpose of this study is to compare the GWPR model with the Fixed Gaussian and Adaptive Bisquare weighting functions based on the AIC value. The data used in this study is secondary data taken from the website of the Central Statistics Agency (BPS) in the form of Per-Capita Expenditure Figures in South Sumatra in 2013-2019. This research results that in the case of the Per-Capita Expenditure Rate (AP), it is better to use the GWPR method with a fixed gaussian weighting function in the modeling, where the resulting coefficient of determination is 95.81% rather than adaptive bisquare with a determination coefficient of 93.3%. The factors that influence the Per-Capita Expenditure Rate (AP) in South Sumatra on the fixed gaussian weighting are divided into 6 groups, while the adaptive bisquare is divided into 2 groups.
Co-Authors Ananda, Serly Tri Anggraeni, Andini Setyo Azka, Dea Alvionita Dea Alvionita Azka Dea Alvionita Azka Dian Nabillah, Hasna Herni Utami Herni Utami Ismi Rizqa Lina Ismi Rizqa Lina Jabnabillah, Faradiba Lina, Ismi Rizqa Lukmanul Hakim Nahrul Hayati Naufal, Naifi Rahmadi, Deddy Retnowati, Sri Rifki Chandra Utama Rosnani Sabarinsyah, Sabarinsyah Siti Aisyah Widya Reza