Open AccessPemodelan Fuzzy Inference System Tsukamoto Untuk Prediksi Curah Hujan Studi Kasus Kota Batu
Author(s) -
Ida Wahyuni,
Fadhli Almu’iini Ahda
Publication year - 2018
Publication title -
jurnal ilmiah teknologi informasi asia/jurnal ilmiah teknologi informasi asia
Language(s) - English
Resource type - Journals
eISSN - 2580-8397
pISSN - 0852-730X
DOI - 10.32815/jitika.v12i2.260
Subject(s) - mean squared error , fuzzy inference system , mathematics , statistics , fuzzy logic , environmental science , computer science , adaptive neuro fuzzy inference system , artificial intelligence , fuzzy control system
The uncertain pattern of rainfall causes apple farmers to be difficult in determining the flowering time that resulted in the apple harvest becomes not maximal. Many methods are used to predict rainfall, one of which is Fuzzy Inference System (FIS) Tsukamoto. Earlier research using this method managed to get a fairly small Root Mean Square Error (RMSE) value. In this research, FIS Tsukamoto method is used to create rainfall prediction modeling in four locations in Batu, East Java with the aim to get a small RMSE also. Tsukamoto's FIS method is used to predict rainfall with time series data from 2005 to 2014. The result of this research is the prototype of Tsukamoto FIS method that can be used to predict rainfall with RMSE error value in Junggo area of 9,196, in Pujon area of 9,407 , in Tinjomulyo area of 8,798, in Ngujung area of 8,825.