@inproceedings{c46321c1e1bf4c9bb15b7654ce2752ba,
title = "Application of hotspot detection using spatial scan statistic: Study of criminality in Indonesia",
abstract = "According to the police registered data, the number of criminal cases tends to fluctuate during 2011 to 2013. It means there is no significant reduction cases number of criminal acts during that period. Local government needs to observe whether their area was a high risk of criminal case. The objectives of this study are to detect hotspot area of certain criminal cases using spatial scan statistic. This study analyzed the data of 22 criminal types cases based on province in Indonesia that occurred during 2013. The data was obtained from Badan Pusat Statistik (BPS) that was released in 2014. Hotspot detection was performed according to the likelihood ratio of the Poisson model using SaTScanTM software and then mapped using R. The spatial scan statistic method successfully detected provinces that was categorized as hotspot for 22 crime types cases being analyzed with p-value less than 0.05. The local governments of province that were detected as hotspot area of certain crime cases should provide more attention to improve security quality.",
keywords = "Crime, Hotspot, Scan Statistic",
author = "Taruga Runadi and Yekti Widyaningsih",
note = "Publisher Copyright: {\textcopyright} 2017 Author(s).; 2nd International Conference on Applied Statistics: Statistics and Its Applications, ICAS 2016 ; Conference date: 27-09-2016 Through 28-09-2016",
year = "2017",
month = mar,
day = "30",
doi = "10.1063/1.4979427",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Yudhie Andriyana and Yusep Suparman and Jadi Suprijadi",
booktitle = "Statistics and Its Applications",
}