SISTEM PAKAR DIAGNOSA PENYAKIT MATA DENGAN METODE NAIVE BAYES

Minto, Rushimel Ayunir (2024) SISTEM PAKAR DIAGNOSA PENYAKIT MATA DENGAN METODE NAIVE BAYES. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.

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Abstract

Eye disease interferes with a person's vision process which can bring the threat of blindness. A survey obtained from the Rapid Assessment of Avoidable Blindness (RAAB) for the 2014-2016 period stated that the prevalence of blindness in Indonesia was 3.0%. However, throughout 2023, PERDAMI noted that there will only be 3,000 eye specialist doctors in Indonesia. The limited number of eye specialist doctors will have an impact on services to the community. For this reason, an expert system for diagnosing eye diseases was designed using the Naïve Bayes method so that the public can carry out early detection of the symptoms of eye diseases. By using the confusion matrix as a testing method, system diagnostic accuracy results with test data were obtained at 76%. Apart from that, the design of this expert system application uses the website-based PHP (Hypertext Preprocessor) programming language. From testing using the black box method, it is found that the application runs according to its functionality.

Item Type: Thesis (Skripsi (S1))
Uncontrolled Keywords: Sistem Pakar, Penyakit mata, Naïve Bayes
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatic Engineering
Depositing User: ft . userft
Date Deposited: 06 Mar 2024 03:24
Last Modified: 06 Mar 2024 03:24
URI: http://eprints.umpo.ac.id/id/eprint/13435

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