Indonesian Journal of Electrical Engineering and Computer Science
Vol 10, No 6: October 2012

Fuzzy Expert System for Tropical Infectious Disease by Certainty Factor

I ketut Gede Darma Putra (Udayana University)
Putu Manik Prihatini (Bali State Polytechnic)



Article Info

Publish Date
11 Sep 2012

Abstract

Communication between doctor and patient play an important role in determining the diagnosis of the illness suffered by the patient. Consultation time constraints led to insufficient information obtained to produce a diagnosis. This limitation is overcome by developing an expert system using fuzzy logic to represent the vagueness of symptoms experienced by patients and the certainty factor represents a relationship between the symptoms and disease. Fuzzy logic method begins with the acquisition of knowledge to produce the facts and rules, implication process, composition and defuzzification. The result of defuzzification used in the calculation of sequential and combined certainty factor which represent the belief percentage of diseases diagnosis that suffered by the patient. The results of the expert diagnosis with expert system for the given cases indicates the system, has the similarity diagnosis with the expert at 93.99%. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1223

Copyrights © 2012