Mapping COVID-19 in a Region Using IP Geolocation and Fuzzy Inference System

Abstract

The spread of COVID-19, which is getting faster every day, has made people wary. If residents suffer from the symptoms and risks of COVID-19, they are afraid and ashamed because they feel ostracized by their neighbours, relatives, and families. It is a shame and fear of reporting that causes the transmission of COVID-19 to accelerate. Therefore, it is necessary to create a system that can answer the problem, namely a system that can detect first aid symptoms and risks of COVID-19 suffered by residents, so that residents know their health status without checking the health of the COVID-19 task force in each area. The system is made by reading the location of residents who report their health to know where they are and their health status. A method for reading the location of system users based on IP addresses is called IP Geolocation, which stands for Internet Protocol Geolocation. The determination of the health status of residents is in the category of Negative COVID-19, ODR, ODP, PDP, or Positive COVID-19 using the Fuzzy Inference System (FIS) method. The IP Geolocation and FIS results will be displayed on a map (google maps). Implementing this system will make it easier for the Government to monitor the spread of COVID-19 based on public reports and information. By testing using the black box method based on partition equivalence with seven facilities in the system, one mistake makes the facility a weakness of IP Geolocation.