PREDICTION AND MAPPING RAINFALL CLASSIFICATION USING NAIVE BAYES AND SIMPLE KRIGING

This study discusses the development of a prediction model for classification rainfall based on time in Java. The method used this research is naive Bayes and simple kriging. Naive prediction, while kriging an interpolation mapping. There are two scenarios used, that building daily monthly classification, with data taken from 27 weather stations island Java 2010 to 2021. results obtained process accuracy value 67% 88% model. uses spherical semivariogram average RMSE 1,021. For using Gaussian 0,34. Then mapping rainfall. predictions models April 1 7 2022 September 2022. contribution provide predictive information future so public people can anticipate more.