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Abstract

Glaucoma is an eye disease that causes the second largest blindness after cataracts, this disease can cause decreased vision and can even be fatal, namely permanent blindness if it is not realized and treated immediately. Lack of information and education to the public to always maintain eye health is the basis for the purpose of making this expert system which aims to provide early diagnosis to people who are indicated to have glaucoma based on the symptoms or characteristics previously felt. The Naïve bayes method is a method that uses statistics and probability in predicting a person's chance of suffering from glaucoma based on the symptoms previously felt. It is made based on a website with PHP as the programming language and uses MySQL for the database. As for the comparison method used is the Certainty factor, which is a method that functions to determine a certainty value based on the calculation of the predetermined CF value by applying manual calculations. In the Naïve bayes method, the application can group symptom data and types of disease and can diagnose based on previous training data, while for the Certainty factor method based on the calculation of the value of the expert and the CF value that has been inputted by the user, it can produce a percentage of the diagnosis of the disease glaucoma in 96%.

Keywords

Certainty factor Expert System Glaucoma MySQL Naïve bayes PHP

How to Cite

Citation Format
Burhani, H. R., Fitri, I., & Andrianingsih, A. (2021). Perbandingan dan Certainty factor pada Sistem Pakar Untuk Mendiagnosa Dini Penyakit Glaukoma. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 5(3), 291-299. https://doi.org/10.35870/jtik.v5i3.183

References

10 References
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Author Biography

Andrianingsih Andrianingsih, Nasional University, Nasional University

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional.

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Copyright (c) 2021 Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

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