Pemodelan Tingkat Kriminalitas di Provinsi Jawa Timur dengan Regresi Data Panel Spasial

Main Article Content

Ni Komang Jeni Frika Yanti
Made Susilawati
Ni Luh Putu Suciptawati

Abstract

Crime is any action or behavior that violates the law and is prohibited by the state and society. East Java is a province that ranks second after North Sumatra with a number of crimes above the average, reaching 11% of the total number of crimes in Indonesia. This shows that the level of security in East Java still needs to be improved in order to minimize crime rates and provide a sense of security to all people in East Java Province. The goal to be achieved in this study is to model and find out the factors that significantly influence the crime rate in East Java Province for the 2017-2021 period using spatial panel data regression analysis. This research shows that there is a spatial lag effect of the model, with the model chosen to model the crime rate in East Java Province is the spatial lag fixed time effect with an  of 71.54%. Factors that significantly influence are the number of unemployed, population density, average length of schooling, total population.

Article Details

How to Cite
Frika Yanti, N. K., Susilawati, M., & Suciptawati, N. L. P. (2023). Pemodelan Tingkat Kriminalitas di Provinsi Jawa Timur dengan Regresi Data Panel Spasial. Journal on Education, 6(1), 1508-1517. https://doi.org/10.31004/joe.v6i1.3098
Section
Articles

References

Anselin, L. (1988). Spatial Econometrics:Methods and Models (Vol. 4). Springer Netherlands. https://doi.org/10.1007/978-94-015-7799-1
Baltagi, B. H. (2005). Econometric Analysis of Panel Data. In Singapore Economic Review (3rd ed., Vol. 54, Issue 3). John Wiley & Sons Ltd. https://doi.org/10.1142/S0217590809003355
Badan Pusat Statistik. (2018-2021). Jawa timur dalam angka 2018-2021.
Bareskim Polri. (2021). Jurnal Tahunan Pusiknas Bareskim Polri. Bareskim Polri, 20.
Desinta. (2022). Faktor-Faktor Yang Memengaruhi Kejadian Kejahatan Di Provinsi Jawa Barat Tahun 2018-2020. Jurnal Ilmiah Populer, 5.
Febrianti, E., Susetyo, B., & Silvianti, P. (2023). Pemodelan Tingkat Kriminalitas di Indonesia Menggunakan Analisis Geographically Weighted Panel Regression. Xplore: Journal of Statistics, 12(1),91–109. https://doi.org/10.29244/xplore.v12i1.950
Greene, W. H. (2012). Econometric analysis, 7th ed. New York:Prentice Hall.

Most read articles by the same author(s)