E-DIAGNOSIS PENYAKIT MATA MENERAPKAN METODE NAIVE BAYES

Abstract

This study aims to develop an e-diagnosis application for eye diseases using the naive bayes method. The reasons for choosing this method are because it is simple, fast and has high accuracy. The expert system development method used is the Expert System Development Life Cycle (ESDLC). The steps that must be carried out in the ESDLC method are assessment, knowledge acquisition, design, testing and documentation. There are 14 types of eys diseases discussed, including : macular degenaration, cataracts, optic neuristics, open angle glaucoma, angle closed glaucoma, graves, keratitis, presbyopia, retinal ablation, acute iridocyclics, xerophthalmania, orbital cellulitis, dacryocystitis and piteregium. Each disease has symptoms, there are several diseases with the same symptoms. This e diagnosis system for eye diseases can help people to find out what eye diseases are being experienced. Implementing the Naive Bayes method can help writers build a more structured e diagnosis system for eye diseases