ADA Journal of Information System Research
Vol. 1 No. 3 (2024): June 2024

Sistem Pakar Diagnosa Distrofi Otot Berbasis Web Menerapkan Metode Tsukamoto

Zalukhu, Ishak (Unknown)



Article Info

Publish Date
29 Jun 2024

Abstract

Muscular dystrophy is a group of diseases that cause muscles to become weak, lose mass, and lose function. A common problem that occurs in the general public is the difficulty of knowing the diagnosis of muscular dystrophy in the body based on the symptoms experienced due to the limited number of specialist doctor consultation services in the neighborhood where they live. Overcoming the problem of difficulty in knowing the diagnosis of muscular dystrophy that has been described above, in this study the authors built a web-based expert system for diagnosis of muscular dystrophy using the Tsukamoto method. If a patient with a severity status of exactly 5 is given a diagnosis of moderate severity muscular dystrophy. The results of this study indicate that the application of the Tsukamoto method in the process of diagnosing Muscular Dystrophy gives effective results to solve the problem of diagnosing Muscular Dystrophy in accordance with expert knowledge.

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Journal Info

Abbrev

adajisr

Publisher

Subject

Computer Science & IT

Description

ADA Journal of Information System Research publishes manuscripts within the fields of: 1. Big Data, 2. Informatics Techniques, 3. Data Mining 4. Decision Support System, 5. Experts System, and 6. Cryptography 7. Information ...