Prediction Map of Rainfall Classification Using Random Forest and Inverse Distance Weighted (IDW)

The amount of rainfall that occurs can affect natural disasters and even food production to economic activities. the factor area where rain is one main parameters for how change occurs. So, it necessary have a prediction approach aims find out when what type will occur. Spatial classification interpolation are two methods used make predictions. Random Forest method be predict rainfall. Inverse Distance Weighted stochastic techniques calculate estimated from data points occur so distribution visualized. In implementation random forest, model built on daily basis gets best level accuracy in 5D sub C with an 0.8238 while monthly sub-model B 4M 0.9362. results predictions mapping using IDW show June 1-4 2022 Most Java Island experience light rain, 5-7 most sunny cloudy days. And predictions, August cloudy, May, July, October, September