Rainfall Prediction in Blora Regency Using Mamdani's Fuzzy Inference System

In the case study of weather prediction, there are several tests that have been carried out by figures using fuzzy method, such as Tsukamoto fuzzy, Adaptive Neuro Fuzzy Inference System (ANFIS), Time Series, and Sugeno. And each method has its own advantages disadvantages. For example, a weakness, this does not follow rules strictly, composition where output is always crisp even though input ANFIS disadvantage requiring large amount data. which used reference for calculating data patterns number intervals when Sugeno having less stable accuracy results some able to get fairly accurate results. research on implementation Mamdani inference system climatological dataset Blora Regency predict rainfall, it can be concluded follows: (1) The logic level rainfall in city taking into account factors affect weather, including temperature, wind speed, humidity, duration irradiation rainfall. (2) prediction with uncertain values produce because tolerance inaccurate (3) calculations 66%.