Article Sidebar

Submitted
October 5, 2024
Accepted
December 13, 2024
Published
December 31, 2024
Download
pdf
Statistic
Read Counter : 81 Download : 34

Main Article Content

Abstract

Sumatra island is the island with the highest theft rate in Indonesia. This study aims to determine the factors that have a significant effect on number of theft crime on the Sumatra Island from 2016 to 2021 by using panel data regression. This research uses panel data regression method which is a combination of cross section and time series data. The data used is secondary data obtained from Central Bureau of Statistics. Research variables include population density (X1), average years of schooling (X2), case completion rate (X3), and number of drug abuse (X4). The best model estimation was carried out for three models, including Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The selection of the best model of three models was carried out through the Chow test, Hausman test, and Lagrange Multiplier test. The best model result is individual effect FEM, with R2 = 94.8%. After partial test, the variables that have significant effect on number of theft crime in Sumatera Island are X2, X3, X4. The MAPE value of the best model is 23.15% which shows a feasible category.

Keywords

Crime Individual Effect FEM Theft Panel Data Regression

Article Details

License

Copyright (c) 2024 Irmeilyana Irmeilyana, Wine Zea Putri, Endro Setyo Cahyono

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

Irmeilyana Irmeilyana, Program Studi Matematika, Universitas Sriwijaya, Indonesia

Jurusan Matematika

Fakultas MIPA

Endro Setyo Cahyono, Program Studi Matematika, Universitas Sriwijaya, Indonesia

Jurusan Matematika

Fakultas MIPA

How to Cite
Irmeilyana, I., Putri, W. Z., & Cahyono, E. S. (2024). Model Regresi Data Panel pada Faktor-Faktor yang Mempengaruhi Jumlah Kriminalitas Pencurian di Pulau Sumatera . Diophantine Journal of Mathematics and Its Applications, 3(2), 91–101. https://doi.org/10.33369/diophantine.v3i2.37326
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Badan Pusat Statistik, “Statistik Kriminal 2022,” Badan Pus. Stat., no. 023, pp. 30–80, 2022, doi: 4401002.
  2. P. J. Simanjuntak, Pengantar Ekonomi Sumber Daya Manusia, 2nd ed. Lembaga Penerbit Fakultas Ekonomi Universitas Indo., 1998.
  3. A. Widarjono, Ekonometrika: Teori dan Aplikasi Untuk Ekonomi dan Bisnis. Yogyakarta: Ekonisia, 2007.
  4. R. P. Audey dan A. Ariusni, “Pengaruh Kualitas Sumber Daya Manusia Terhadap Tingkat Kriminalitas di Indonesia,” J. Kaji. Ekon. Dan Pembang., vol. 1, no. 2, pp. 653–666, 2019.
  5. S. Liamanu, L. Sukarniati, dan F. R. A. Lubis, “Analisis Pengaruh Sosial Ekonomi Terhadap Tingkat Kriminalitas di Indonesia (Studi Kasus 32 Provinsi di Indonesia),” J. HUMMANSI (Humaniora, Manajemen, Akuntansi), vol. 6, no. 2, pp. 1–11, 2023.
  6. K. Kosmaryati, C. A. Handayani, R. N. Isfahani, dan E. Widodo, “Faktor-Faktor yang Mempengaruhi Kriminalitas di Indonesia Tahun 2011-2016 dengan Regresi Data Panel,” Indones. J. Appl. Stat., vol. 2, no. 1, pp. 10–20, 2019.
  7. H. Wahyudi dan Abdirrohman, “Pengaruh Faktor Ekonomi, dan Penyelesaian Tindak Pidana Terhadap Tingkat Kejahatan Pencurian di Pulau Sumatera,” J. Stud. Ilmu Sos. dan Polit., vol. 1, no. 2, pp. 129–142, 2022.
  8. A. S. Anggrayni, “The Effect of Economic Factors on Property Crime Rates,” Effic. Indones. J. Dev. Econ., vol. 5, no. 2, pp. 123–131, 2022.
  9. D. N. Gujarati dan D. C. Porter, Dasar-Dasar Ekonometrika, 5nd ed. Jakarta: Salemba Empat, 2012.
  10. I. Ghozali, Aplikasi Analisis Multivariat dengan Program IBM SPSS, 9nd ed. Semarang Penerbit Univ. Diponegoro., 2018.