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This study aims to compare the best method on the forecasting system of rainfall in Medan using Single Exponential Smoothing (SES), Naive Model, and Seasonal Autoregressive Integrated Moving Average (SARIMA) . The data used in this study is rainfall data for 10 years (2009 – 2019). From the simulation by comparing existing method, the best model is SES with  and value of MAPE ( Mean Absolut Percentage Error ) sebesar 2,47%. And then SARIMA (1,01,1)(4,0,3) 12 whit value of MAPE  is2,93%. Both of this model is high accurate model because value of MAPE resulted < 10%.

Comparison of Single Exponential Smoothing, Naive Model, and SARIMA Methods for Forecasting Rainfall in Medan