ANALISIS CLUSTER CURAH HUJAN TAHUNAN DI INDONESIA

Water is critical for long-term socioeconomic growth. Rainfall one of the water sources.. Many factors contribute to disparities rainfall patterns in Indonesia. The study aims detect and map implication clustering annual each province Indonesia using provincial data 2011 2015. K Means Clustering an unsupervised learning technique was applied events by employing measurement from Indonesia's rain stations province. results indicate that two provinces cluster I have very low availability, II has moderate with rainy days under 200 days, i.e. wet months seven months, III a wide variation maximum minimal rainfall. demonstrate trend locations vulnerable availability Central West Sulawesi. should be managed as potential source face extreme dry season, particularly three III: South Sumatra, Papua, Maluku. expected used dataframe, well preliminary analysis reinforce local rainfall, basis managing exploiting planning mitigation adaptation climate change