Vitiligo Disease Diagnosis Expert System using The Web-Based Fuzzy Mamdani Method

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Yupiter Gulo
Jonson Manurung

Abstract

Vitiligo is a disease that causes skin color to fade. Besides being able to attack any skin area on the body, this fading can also occur on the inside of the mouth, eyes, and hair. In this study, an expert system for diagnosing vitiligo has been built, in order to make it easier for patients to find out the level of vitiligo that is being suffered. The problem of this study is how to build an expert system to diagnose vitiligo by implementing Fuzzy Logic using the Mamdani Method. Fuzzy logic is an approach that uses several specific stages. The system is built using a structured approach with use cases, sequences, and activity diagrams as tools for designing the system. The results of this study are in the form of an expert system that is able to produce a risk level for vitiligo.

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How to Cite
Gulo, Y., & Jonson Manurung. (2020). Vitiligo Disease Diagnosis Expert System using The Web-Based Fuzzy Mamdani Method. Login : Jurnal Teknologi Komputer, 14(2), 69-77. Retrieved from http://login.seaninstitute.org/index.php/Login/article/view/33

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