Weather prediction application based on ANFIS (Adaptive neural fuzzy inference system) method in West Jakarta region

Rainy season in Indonesia between October to April with the highest rainfall peak in December. But there is the possibility of weather´s anomaly and even climate irregularities. Some studies also mention that the climate´s affect the economic situation in one region. Especially in West Jakarta. West Jakarta is one of region for connecting activity of economy, where activity done by using air transportation that never stop running. It needs special handling, so that the rainfall predicted by applying the basic rules of reasoning and fuzzy logic. This research applies ANFIS to predict three weather variables, namely air temperature, air humidity and wind speed as a predictor. The data used is the weather data from West Jakarta region in January, February, March, July, August and September in the year of 2012, and got from Meteorology Climatology and Geophysics Agency Jakarta. Adaptive Neural-Fuzzy Inference System (ANFIS) for weather prediction has a level of accuracy 100%, because each one is able to predict the qualitative value of the category 0 (rain) and 1 (not rain) same with expert opinion, and from total samples 183 and 180 as training data, testing and checking.