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

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... ay 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.