Open AccessWeather Determination Prediction Using Expert Fuzzy Logic Mamdani Method
Author(s) -
Intan Utnasari,
Narti Eka Putria
Publication year - 2021
Publication title -
ijistech (international journal of information system and technology)
Language(s) - English
Resource type - Journals
ISSN - 2580-7250
DOI - 10.30645/ijistech.v5i4.172
Subject(s) - fuzzy logic , computer science , weather prediction , value (mathematics) , range (aeronautics) , membership function , meteorology , function (biology) , weather forecasting , defuzzification , fuzzy set , artificial intelligence , data mining , machine learning , fuzzy number , engineering , geography , aerospace engineering , evolutionary biology , biology
The current climate and weather patterns are very extreme. This kind of weather condition can harm many people. In recent years, heavy rains have resulted in flooding. So far, computers can be used to help people solve problems. The smarter the system and the higher the level of information handling, the more active the role played by the Weather computer is the condition of the air at a certain time and in a certain area that is relatively narrow and in a short period of time. The weather is formed from a combination of weather elements and the weather period can only be a few hours. For example morning, afternoon, or evening, and the situation can be different for each place and every hour. The purpose of this research is to help predict the weather as information. This research uses the Mamdani method. This Mamdani method uses 4 stages to produce an output value, namely, determining the input value (fuzzification), determining the value of x (implication function application), Combination of Rules (Rules), and finally determining the final value or (Defuzzification). This research produces an output value of 35 which is located in the Panas range.