Diagnosing COVID-19 Symptoms Using Fuzzy Logic

This research aims to determine the symptoms of being infected with Covid-19 using a fuzzy logic approach. Detection of Covid-19 is an important step in early identification of suspected Covid-19 patients so that further steps can be taken. Fuzzy logic is an appropriate way to map an input space into an output space. For very complex systems, the use of fuzzy logic is one solution. Research results can help the community to carry out self-diagnosis, and paramedics to carry out initial diagnoses to patients, so that it can make it easier for all parties to deal with Covid-19. From the test result with 176 individuals obtained an accuracy value of 93.7%.