Comparison of Holt Winters and Simple Moving Average Models to Identify the Best Model for Predicting Flood Potential Based on the Normalized Difference Water Index

Flood is a condition in which water cannot be accommodated drainage channel such as river or river. An area said to flooded if the inundated large quantities so that it can cover all most of area. Determining forecasting prediction on potential long short term, especially changes content levels an area, requires method, model, approach must well tested. The lower error value better model for testing forecast. One data used analysis flood models use remote sensing with technology from Landsat 8. advantage 8 has good history and allows see land year purpose this study was determine best flooding using Holt Winters Simple Moving Average. result research RMSE, MAE, MAPE, MSE values are 0.03598683, 0.02748707, 0.13944356, 0.00129505 while Average 0, 09681483, 0.06338657, 0.53775228, 0.00937311. because forecast low value.