Design and Development of Fuzzy Logic Application Tsukamoto Method in Predicting the Number of Covid-19 Positive Cases in West Java

Alwi Dahlan Permana; Vani Maharani Nasution; Graha Prakarsa

doi:10.47194/ijgor.v1i2.35

Authors

Alwi Dahlan Permana
alwidpermana@gmail.com
Vani Maharani Nasution
Graha Prakarsa

Keywords:

Fuzzy, Tsukamoto, prediction, Covid-19, West Java

Abstract

The increase in covid-19 positive patients in Indonesia, especially in West Java, is unpredictable, resulting in unpreparedness in dealing with covid-19 cases. People in monitoring and patients under supervision are the category that is breast-positive patients after passing the incubation period for 14 days. Fuzzy logic is one derivative of artificial intelligence that is able to predict a thing.The study used the fuzzy logic of the Tsukamoto method to predict the percentage increase in positive cases of covid-19 with measures performed are fuzzification, rule formation, inference, and defuzzification. The results showed a 4.5% error rate indicating that predicting covid-19 using the fuzzy logic of the Tsukamoto method was successful.

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