Crime Forecasting using ARIMA Model and Fuzzy Alpha-cut

Crime forecasting is one of research in forecasting world. Many forecasting methods have been applied in this field as Nave lag, exponential smoothing, decomposition method and ARIMA model. This study proposed crime forecasting using Autoregressive Integrated Moving Average (ARIMA) model and fuzzy alpha-cut method. This combination is expected to generate more accurate forecasting result with minimum error. The results will help the decision makers in making the right decision in crime prevention strategies.