Mapping of crime prone areas in Batubara districts using the k-means method

Crime is a complicated problem that broadly impacts all levels of society. This study tries to develop an information system to display and map the number of crimes in Batu Bara Regency in Grouping. The method used is K-Means Clustering, where grouping is done to determine the level of vulnerability of an area. The grouping is taken based on the density of the crime scene from the crime that occurred so that the resulting output is expected to make it easier for users to distinguish the level of vulnerability between one area and another based on the grouping done. The results of this study indicate that security in Batu Bara Regency tends to be vulnerable around the city center. In contrast, suburban areas with relatively low population density tend to be safer. In terms of time, the crime with the highest identity occurred late at night.