Nurul Fiskia Gamayanti, Junaidi Junaidi, Fadhilah Fitri
Forecasting is a method used to predict the value of a variable in a future time. One of the forecasting methods that can be used to achieve this aim is fuzzy time series approach. The fuzzy time series is a forecasting method used to predict historical data by forming linguistic values and producing more accurate forecasts. This paper discusses the fuzzy time series to predict the positive case of COVID 19 in Central Sulawesi. The forecasting steps in fuzzy time series are defined by the universe U, which determines the number and length of interval classes, defuzzifying and defining sets Fuzzy on U, performing of Fuzzification on data number of visitors, determine Fuzzy logical relationship (FLR), forming Fuzzy Logical Relationship Group (FLRG), performing defuzzification, and performing the forecast calculations. The results with an accuracy of forecasting value using MAPE is 36.90%. As a result the forecasting using fuzzy time series statisfies the criteria forcasting. The COVID-19 case can vary at any time depending on the efforts of the Central Sulawesi government and public awareness to always maintain cleanliness. Moreover the health protocols should be massively implemented to reduce the virus spread in society. © 2023 Author(s).
Department of Statistics, Faculty of Mathematics and Natural Science (FMIPA), Tadulako University, Palu, Indonesia; Department of Statistics, Faculty of Mathematics and Natural Science (FMIPA), Universitas Negeri Padang, Padang, Indonesia
