Application GIS to Analyse Crime Risk in Bandung

Moh Dede, Iwan Setiawan, Asep Mulyadi

2017

Abstract

This study aims to determine various factors are affected crime occurrence and discover crime risk distribution in Bandung using geographic information system (GIS) technology. It is to achieve suitable action against crime for mutual security. As quantitative research, the correlation of each factor is obtained from statistical test, then a decile rule used to know the value distribution. Eastman equation require score and weight from the correlation coefficient and value distribution for overlay analysis using GIS software to result crime risk distribution in Bandung. Correlation test identified that historical crime accidents, public facilities, and residence domination are most influence crime occurs, because crime needs suitable condition like place, time, and target. The resulted map of crime risk distribution shows 39.02 and 16.69 percent or more than half area of Bandung has very high and high risk. Based on the analysis, crime risk area agglomerate in the western and central of city are known as central business district. In addition, the temporal pattern of crime risk increase at 18.00 to 24.00 pm who coverage almost three-fifths area of the city when citizen activity is highly.

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Paper Citation


in Harvard Style

Dede M., Setiawan I. and Mulyadi A. (2017). Application GIS to Analyse Crime Risk in Bandung.In 2nd International Conference on Sociology Education - Volume 1: ICSE, ISBN 978-989-758-316-2, pages 597-602. DOI: 10.5220/0007102605970602


in Bibtex Style

@conference{icse17,
author={Moh Dede and Iwan Setiawan and Asep Mulyadi},
title={Application GIS to Analyse Crime Risk in Bandung},
booktitle={2nd International Conference on Sociology Education - Volume 1: ICSE,},
year={2017},
pages={597-602},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007102605970602},
isbn={978-989-758-316-2},
}


in EndNote Style

TY - CONF

JO - 2nd International Conference on Sociology Education - Volume 1: ICSE,
TI - Application GIS to Analyse Crime Risk in Bandung
SN - 978-989-758-316-2
AU - Dede M.
AU - Setiawan I.
AU - Mulyadi A.
PY - 2017
SP - 597
EP - 602
DO - 10.5220/0007102605970602