Fuzzy Knowledge-based System with Uncertainty for Tropical Infectious Disease Diagnosis
On the development of medical knowledge-based system, the inability of a patient in a complaint must be dealt with by the fuzzy logic method, while the inability of an expert in defining the relationship between the symptoms of the disease can be treated with certainty factor method. In this study, both methods were combined to make diagnosis of tropical infectious diseases. Knowledge acquired from medical specialist in internal medicine, with produce fact, a crisp and fuzzy symptoms, and rule with the certainty value of the specialist. Reasoning process starts from the implication, decomposition, defuzzification and certainty factor calculation. System developed on web based platform and provide a workplace, explanation facility and knowledge improvement. System testing is done to compare the results of specialist diagnosis and system diagnosis, which results of testing show the system, has similarity with the expert at 91.07%.
Keywords: knowledge-based system, web based, fuzzy logic, certainty factor, a tropical infection
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ABOUT THE AUTHORS
Putu Manik Prihatini
Putu Manik Prihatini, ST is a lecturer in Department of Electrical Engineering at Bali State Polytechnic, Indonesia. Bachelor of Informatics Engineering graduated from Sekolah Tinggi Teknologi Telekomunikasi, Bandung, Indonesia. Master of Electrical Engineering field of study Management Information System and Computer graduated from Udayana University, Bali, Indonesia. Have research and interest in the field of System Information, Expert System and Soft Computing.
I Ketut Gede Darma Putra
Dr. I Ketut Gede Darma Putra, S.Kom., MT. is a lecturer in Department of Electrical Engineering and Information Technology, Udayana University Bali, Indonesia. He obtained his master and doctorate degree on Informatics Engineering from Electrical Engineering, Gadjah Mada University, Indonesia. His research interest includes Biometrics, Image Processing, Expert System and Soft Computing.
Putu Manik Prihatini
Putu Manik Prihatini, ST is a lecturer in Department of Electrical Engineering at Bali State Polytechnic, Indonesia. Bachelor of Informatics Engineering graduated from Sekolah Tinggi Teknologi Telekomunikasi, Bandung, Indonesia. Master of Electrical Engineering field of study Management Information System and Computer graduated from Udayana University, Bali, Indonesia. Have research and interest in the field of System Information, Expert System and Soft Computing.
I Ketut Gede Darma Putra
Dr. I Ketut Gede Darma Putra, S.Kom., MT. is a lecturer in Department of Electrical Engineering and Information Technology, Udayana University Bali, Indonesia. He obtained his master and doctorate degree on Informatics Engineering from Electrical Engineering, Gadjah Mada University, Indonesia. His research interest includes Biometrics, Image Processing, Expert System and Soft Computing.
