Identification of Rainfall events on Climate Phenomena in Medan based on Machine Learning

Indonesia has diverse topographical conditions that result in having a unique climate. One of the climate elements to be studied is rainfall, because rainfall different pattern each region, this caused by several phenomena factors affect pattern, including El-Nino Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and Madden Julian (MJO). Medan City capital North Sumatra province which one areas flood-prone category Sumatra, where factor flooding due events long period time, so author wants know climatic can city using Machine Learning technology through Matlab application, study method forming four combination models, namely influence IOD, SOI MJO; second IOD SOI; third fourth MJO these combinations will value models. Furthermore, model compared with observed verification test Mean Absolute Error (MAE) correlation. Then calculation comparison between models obtained lowest MAE during phenomenon 15.0 mm highest correlation phenomena. So it concluded best value. This shows based on modeling, shown as predictor when consists MJO.