Klasifikasi Penyakit Glaukoma Sudut Terbuka Menggunakan Metode Naïve Bayes Classifier

Istyawati, Fany (2019) Klasifikasi Penyakit Glaukoma Sudut Terbuka Menggunakan Metode Naïve Bayes Classifier. Tugas Akhir thesis, University of Technology Yogyakarta.

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Glaucoma is the cause of blindness which lies on second ranks after cataracts throughout the world. The results of a survey conducted by a health agency indicate that most Glaucoma sufferers have not been diagnosed. Glaucoma is a type of eye disease which rapidly develops and can cause blindness. Therefore, it requires a system which can classify Glaucoma types with a short and accurate time. This classification system aims to shorten the time in the process of classifying Glaucoma types, especially open-angle glaucoma. To classify glaucoma based on symptoms and analysis, Naїve Bayes Classifier (NBC) method is applied which is a probability approach to produce classification. Testing this system is done by using 21 training data and 9 test data which produce the results of system accuracy of 88.88%. With the use of this classification system, it is expected that system users can classify the type of Glaucoma suffered by someone more quickly. Keywords: Glaucoma, Naїve Bayes Classifier, classification

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknologi Informasi dan Elektro > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 02 Apr 2019 04:45
Last Modified: 02 Apr 2019 04:45
URI: http://eprints.uty.ac.id/id/eprint/2664

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