Sistem Pakar Diagnosa Penyakit MERS-CoV berbasis Web dengan Metode Dempster-Shafer

  • Fandy Hidayat Politeknik Caltex Riau

Abstract

Middle East respiratory syndrome (MERS-CoV) is a respiratory syndrome disease caused by the Corona virus which attacks the respiratory tract from mild to severe. MERS-CoV was first reported in Saudi Arabia, to date the reported total cases of MERS-CoV have continued to increase. In Indonesia the MERS-CoV virus enters through the pilgrimage of Hajj and Umrah. But not many people know about this disease and its symptoms. For this reason, an expert system was established to diagnose MERS-CoV disease using the Dempster-Shafer method. The system can detect the disease through the symptoms inputted by the user, the output of the system is the value of the probability of the disease, the level of the disease suffered and the solution. The levels of the disease are Stage 1, Stage 2, and Stage 3 where each has a different solution based on the level of the disease suffered. In the system there is information about MERS-CoV in the form of videos and writings. The system has been built using the PHP programming language. After testing, the results show that all system functionality has been fulfilled. Based on the results of expert validation obtained at 76.7%, which is good in diagnosing MERS-CoV disease and the results of the questionnaire obtained an average of 84.13% which is very good in helping users in diagnosing disease. The expert system that has been built can help someone in diagnosing the disease before consulting a doctor.
Published
2020-08-28
Section
Artikel