Abstract: Crime forecasting is one of research in forecasting world. Many forecasting methods have been applied in this field as Naïve 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 maker’s in making the right decision in crime prevention strategies.