Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Algoritma, Logika dan Komputasi
Danuputri, Chyquitha
UNISMUH Makassar
Computer Science & IT Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
IMPLEMENTASI ALGORITMA NAIVE BAYES TERHADAP DIAGNOSA GEJALA PENYAKIT MATA KATARAK BERBASIS WEBSITE Danuputri, Chyquitha; Jonathan, Vincent
Jurnal Algoritma, Logika dan Komputasi Vol 7, No 1 (2024): Maret 2024
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v7i1.5974

Abstract

This research have a purpose to analyse an eye disease. One of the many eye diseases is Cataract. The symptoms that are felt can help determine what type of cataract you are felt so that you can find a fast and effective way of eye treatment. For cataract itself, the Expert System uses the Naive Bayes method to classify the symptoms we experienced so that it helps patients and medical personnel to predict what type of cataract they suffer from. A website-based Expert System requires the role of the Informatics Engineering profession to assist health workers. Where the use of the website itself facilitates access for patients / patients and medical personnel in predicting cataracts suffered by patients / patients based on the symptoms felt. If cataract disease is treated early because the type of cataract suffered has been found based on the symptoms felt, then the right healing method can be done quickly so that cataract disease can be treated as soon as possible. So it will increase the success rate and reduce the risk in the eye treatment process.
Co-Authors Jonathan, Vincent