Classify interval range of crime forecasting for crime prevention decision making

Abstract

Law enforcement authority as decision maker requires future information, which can be predicted through index crime forecasting to determine the level or future crime trend. Processing of data into useful information is indispensable. Crime trend prediction is helpful to make a decision in crime prevention activities. Other than that, law enforcement authority needs several decision options based on crime trend prediction. It is needed because prediction may contain an uncertainty. To obtain that needed a decision making system application is required. This paper presented a proposed decision making system application that can provide information about crime prevention decision options. The decision options are made based on crime forecasting and interval forecasting data. Every selection of each decision option is based on the level of crime forecasting limit range and crime forecasting values. To classify the limit range, then the distribution frequency is used. There is a high level, medium level and low level. Then, a decision options are made based on this level. The if-then rules are used for decision selection processes. The decision result in several probably conditions hopefully can help law enforcement authority for making better crime prevention decision. The system application for this process is named Crime Prevention Decision Support System (CreP-DSS).

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