Risk diagnosis and mitigation system of covid-19 using expert system and web scraping

Abstract

The Novel Coronavirus that just appeared at the end of 2019 was named SARS-COV-2 which caused a pandemic of a respiratory disease known as COVID-19. In Indonesia itself, there was a case of COVID-19 first announced on March 2, 2020. The spread of COVID-19 in Indonesia is so fast because of one factor namely the lack of knowledge about COVID-19 prevention and early detection. This study will discuss the system to provide the latest information about the development of the COVID-19 case in Indonesia and help the community to conduct an independent detection of COVID-19 using an expert system. Information that will later be displayed on this application is obtained by web scraping techniques from the official website of the task force for the acceleration of handling COVID-19 in Indonesia. This system also has an early detection feature using the rule base method expert system. The results of this system are obtained from the responses of respondents and the results of respondents interested in this application with a percentage of 95.12%, and testing about the validation of the results of the expert system is the same as expected.