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The Analysis of Comparison of Expert System of Diagnosing Dog Disease by Certainty Factor Method and Dempster-Shafer
Method
Eka-Setyarini
1
, Darma-Putra
2
and Adi-Purnawan
3 1
Department of Information Technology, Udayana University Bali, 80361, Indonesia
2
Department of Information Technology, Udayana University Bali, 80361, Indonesia
3
Department of Information Technology, Udayana University Bali, 80361, Indonesia
Abstract
Expert system is one of branches of artificial intelligence that studies how to adopt an expert way of, inferring from a number
of facts, and making decision. This paper presents a comparison between two methodologies, Certainty Factor Method and
Dempster-Shafer Method to identify diseases of the dog. Providing proper health care can be done by knowing common
dog diseases and being aware of appropriate prevention and treatment. In this paper used 74 physical symptoms of illness to
find 17 types of common diseases of dogs. Five options are given to answer questions of calculations using each method: no, quite
sure, pretty sure, sure, and definitely sure. The accuracy of the analysis of each method was tested by assessing the results of
each analysis method based on the given user enter. The results of the analysis are correct when judged from the point of view of
experts. Keywords:
Diseases of Dog, Certainty Factor Method, Dempster-Shafer Method.
1. Introduction
