Forecasting Tren Kejahatan Yang Terjadi di Kota Chicago Menggunakan FBProphet dan ARIMA

Crime Forecasting is a preventive tool for handling criminal action. Forecasting is a helping tool to support authorized parties to make a effective decision about crime prevention in the city. In this journal there is 2 method that being used for forecasting, which is Autoreggresive Integrated Moving Average (ARIMA) and Facebook Prophet (FBProphet). ARIMA and FBProphet will make a forecast about criminal rate in a given timeframe based on data about crime rate in years before. From the result of the forecast, both of the method are capable to identify the pattern of criminal rate with ARIMA have a lower error compared to FBProphet when tested using RMSE and MAPE