At the beginning of 2020, citizens all around the world were streaked by the Corona Virus (Covid-19) pandemic which caused terror far and near. Millions of people were infected and thousands more died ever since the World Health Organization or WHO has declared the Corona Virus (Covid-19) as a global pandemic. Following up on this, the Indonesian government also stated that the Corona Virus problem had become a non-natural national disaster. The President of the Republic of Indonesia and the Regional Government along with their staffs worked hand in hand to take several tactical steps as an effort to prevent the spread of the Corona Virus (Covid-19) in the community. In this study, authors use one method to make predictions or forecasting, that is the Cheng Fuzzy Time Series method, to predict the number of Covid-19 cases in Indonesia so that the government can take tactical steps after knowing the predicted number of the case. The actual data used is the number of Covid-19 case from July 2020 up until October 2020. From the results of calculations that have been carried out using this method, the conclusion is that the performance is splendid, in the range of MAPE <10, whose error value is 5%. With 95% value of accuracy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.