Determination of COVID-19 Transmission Status in East Java Using the Fuzzy Inference System

The COVID-19 pandemic is not over yet. The Coronavirus Disease 19 Pandemic due to the SARS-CoV-2 virus is spreading very quickly in almost every country in the world because of its human-to-human nature. The first COVID-19 case in Indonesia was detected in Depok, West Java, on March 2, 2020. To deal with this, the government must decide on an efficient policy by observing the atmosphere and situation in each region. In this research, we aim to determine the risk status of COVID-19 transmission in the East Java region using Tsukamoto Fuzzy Inference System. The data used are 38 district data groups consisting of four variables. The input variables are COVID-19 positive cases, suspect cases, and probable cases. The output variable is the risk status of COVID-19 transmission data. The results of this study, the Fuzzy Inference System Tsukamoto method, can be used to determine the risk status of COVID-19 transmission in all areas in East Java with an accuracy value of 95.51%. We implement the model of this research in Banten. The results of model calculations in Banten Province show that the model can be used to determine the zone status of each region in Banten with an accuracy rate above 97%. Therefore, the parameter values for each input and output variable in this study can be used in decision-making in areas that have the same zoning policy.