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Sugeng Wahyudion0
STMIK Bina Patria
Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics

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METODE FUZZY TIME SERIES MODEL CHEN UNTUK MEMPREDIKSI JUMLAH KASUS AKTIF COVID-19 DI INDONESIA Arif Ikhsanudin; Kartika Imam Santoso; Sugeng Wahyudion0
TRANSFORMASI Vol 18, No 1 (2022): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v18i1.298

Abstract

In 2021, new cases of COVID-19 continue to be increase in Indonesia every day, so this pandemic can be said to be still not over. Estimates of the number of active cases in the next day can be used to make policies, as far as prepare stocks of medical equipment needs. This study presents the use of the Chen model Fuzzy Time Series to predict the number of active COVID-19 cases in Indonesia in the next one day based on data from the past 30 days. Official government data is used as actual data to calculate predicted results. The results of this study show that in the range of 30 days from July 19, 2021, to August 17, 2021, using the Chen model Fuzzy Time Series method to predict the number of active COVID-19 cases in Indonesia, forecasting on 18 August 2021 with cases of 376,339 with an error ratio MAPE of 3.53% which is included in the category of very good forecasting.
Co-Authors Arif Ikhsanudin Kartika Imam Santoso