Edumatsains
Vol 9 No 2 (2025): January

Prediction of Monthly Rainfall using Fuzzy Logic Tsukamoto in Medan Belawan

Dian Aulia Zulfa (Universitas Islam Negeri Sumatera Utara)
Hendra Cipta (Universitas Islam Negeri Sumatera Utara)



Article Info

Publish Date
31 Jan 2025

Abstract

Rainfall prediction plays an important role in understanding the pattern of rainfall movement for daily life. This research aims to predict monthly rainfall in Medan Belawan using the Tsukamoto fuzzy logic method. Tsukamoto fuzzy logic is used to predict monthly rainfall in Medan Belawan. This method uses several steps, starting from data input, fuzzification, inference, to defuzzification to help predict rainfall. This research aims to apply Tsukamoto fuzzy logic to monthly rainfall prediction. Fuzzy logic has tolerance for imprecise data. This rainfall prediction uses 4 (four) input variables, namely air temperature, air humidity, air pressure and wind speed, and 1 (one) output variable, namely rainfall as a crips value which is the output generated for rainfall prediction. The data used is 12 monthly data from January 2023 to December 2023. The results show the accuracy of the fuzzy method of 57.75% using the MAPE calculation and show that the calculation of the Tsukamoto fuzzy method is sufficient or feasible to do.

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Journal Info

Abbrev

edumatsains

Publisher

Subject

Agriculture, Biological Sciences & Forestry Chemistry Education Mathematics Physics

Description

Jurnal EduMatSains merupakan wadah untuk menampung dan mempublikasikan hasil karya baik berupa hasil penelitian maupun kajian teori yang original dalam ruang lingkup pendidikan matematika dan pendidikan sains (fisika, kimia, biologi) serta ilmu matematika dan ilmu sains (fisika, kimia, biologi) bagi ...