Application of Expert Systems in Diagnosing Persian Cat Diseases using the Dempster Shafer Method

Abstract

The rapid development of information technology in the current era of globalization has provided many benefits in progress in various aspects. Information technology is inseparable from artificial intelligence which is used by humans in facilitating the completion of their daily tasks. An expert system is a system that seeks to adopt human knowledge into computers that are designed to represent the ability to solve problems like an expert. With this expert system, ordinary people can solve their problems or just look for quality information that can only be obtained with the help of experts in their fields. In this study, it is explained how the Expert System diagnoses Persian Cat disease using the Dhempster Shafer method. The Dhempster Shafer method is a method in the branch of mathematics and is commonly used to calculate probabilities. By using the Dhempster Shafer method, a similarity value was obtained with the previous case of disturbance experienced by the Persian cat. This expert system makes it easier to find out the symptoms suffered by Persian cats because this application provides a list of symptoms and is supported by a percentage. The results obtained by testing three types of diseases, it can be concluded that the member is affected by Feline Leukemia Virus with a value of 99.4 %.