Blepharitis Disease Diagnosis Expert System using the Fuzzy Mamdani Method

Abstract

The high cost of consultations and eye examinations has made people reluctant to have their eyes checked by a doctor who specializes in eye diseases, especially blepharitis. The community needs a system that can diagnose blepharitis that they are currently suffering from so that they can have their eyes checked without having to go to a specialist in eye diseases, especially blepharitis first. The number of people suffering from blepharitis in humans is increasing from year to year. Therefore, it is necessary to take action to anticipate the increasing number of people with blepharitis. This is due to the delay in diagnosing the disease. Patients with this disease usually experience blindness due to a lack of proper maintenance. Expert systems are computer-based systems that use knowledge, facts, and techniques, and reasoning to solve problems that normally only an expert in the field can solve. The Fuzzy Mamdani method is quite efficient to use in diagnosing blepharitis disease. This system can provide an early diagnosis of blepharitis in the human eye based on the symptoms and intensity of symptoms that are visible from the outside or experienced by humans. Patients (Users) only need to go to the Web to take the first steps in solving blepharitis and choose the symptoms of the disease they are experiencing without having to ask the expert directly. This system is made web-based with the PHP programming language

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