This document discusses climate modeling and weather modification in Indonesia. It outlines computing intensive climate models and introduces soft computing approaches like adaptive neuro-fuzzy inference systems (ANFIS) and fuzzy clustering for climate forecasting. It analyzes the relationship between sunspot numbers and rainfall in several Indonesian regions and finds correlations. The document concludes that numerical climate models need modifications for Indonesian regions and that solar activity is the main factor determining Indonesia's climate.