Abstract
Crime is an act of violation of the law that damages morals and social life in society. The purpose of this study is to predict the level of crime so that the results can be considered by related parties. The decisive factors in predicting crime rates in Batam City are unemployment, age and population. Sources of data were obtained from the statistical center agency and the Batam City Barelang Police. To do the crime rate process, use fuzzy logic with the Mamdani method. The input variable consists of unemployment, age and population, while the output is the crime rate. The stages in the processing are done by the Mamdani fuzzy logic that is determining the formation of the fuzzy set. This study produces prediction of crime in Batam City at position 49.5 which is in the medium range, with a population of 50 as inputted, 60 unemployment, and 50 years of age.
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