PEMODELAN JUMLAH TINDAK KRIMINALITAS DI PROVINSI JAWA TIMUR DENGAN ANALISIS REGRESI SPATIAL AUTOREGRESSIVE AND MOVING AVERAGE

Abstract

One of spatial regression model is spatial autoregressive and moving average (SARMA) which assumes that there is a spatial effect on dependent variable and error. SARMA can analyze the spatial effect on the higher order. The purpose of this research is to estimate the model of the total crime in East Java along with factors that affect it. The results show that the model can describe total crime in East Java is SARMA(0,1). The factors that influence the total crime  are population density (), poverty total (), average length of education at every regency/city and error from the neigbors.

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Author Biographies

NI MADE LASTI LISPANI, Udayana University

Jurusan Matematika, Fakultas MIPA – Universitas Udayana

I WAYAN SUMARJAYA, Udayana University

Jurusan Matematika, Fakultas MIPA – Universitas Udayana

I KOMANG GDE SUKARSA, Udayana University

Jurusan Matematika, Fakultas MIPA – Universitas Udayana

Published
2018-12-01
How to Cite
LISPANI, NI MADE LASTI; SUMARJAYA, I WAYAN; SUKARSA, I KOMANG GDE. PEMODELAN JUMLAH TINDAK KRIMINALITAS DI PROVINSI JAWA TIMUR DENGAN ANALISIS REGRESI SPATIAL AUTOREGRESSIVE AND MOVING AVERAGE. E-Jurnal Matematika, [S.l.], v. 7, n. 4, p. 346-356, dec. 2018. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/44227>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.24843/MTK.2018.v07.i04.p224.
Section
Articles

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