Geographic Information Systems for Crime Prone Areas Clustering in Purwakarta Regency Heti Mulyani (a*), Jajang Nurzaman (b), Muhammad Nugraha (a)
a) Politeknik Enjinering Indorama, Jalan Cikuda Kembang Kuning, ubrug, jatiluhur Purwakarta
*heti.mulyani[at]pei.ac.id
b) Sekolah Tinggi Teknologi Indonesia Tanjungpinang
Abstract
Crime is one of the problems that is quite complicated and very disturbing to the community. Crimes can occur at different times and places, making it difficult to track which areas are prone to such actions. Information about crime is very much needed by the community, both local and newcomers as anticipatory action. For migrants, information on this crime can also be used as reference for choosing a place to live, while for the police, this information can be used to find out which areas require extra supervision. Geographic Information System is used to map crime-prone areas, while K-Means cluster techniques is used to group the regions. Web-based application is developed with the PHP programming language. The data used is quantitative data in the form of the number of crimes committed and the coordinates of the cases.The attributes of the crime used consist of 6 parameters: drugs, theft, mistreatment, rape, gambling, and fraud. The results of this study are Geographic Information System can be accessed by the police that can be used to manage crime data, to find out the level of vulnerability, and can be accessed by the public to find out the map of crime vulnerability.
Keywords: Crime; Geographic Information Systems;Clustering; K-Means
