Identifikasi Potensi Glaukoma dan Diabetes Retinopati Melalui Citra Fundus Menggunakan Jaringan Syaraf Tiruan

Muhammad Ezar Al Rivan, Muhammad Ezar Al Rivan and Tegar Juangkara, Tegar Juangkara (2019) Identifikasi Potensi Glaukoma dan Diabetes Retinopati Melalui Citra Fundus Menggunakan Jaringan Syaraf Tiruan. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 6 (1). pp. 43-48. ISSN ISSN 2407, E-ISSN 2503-2933

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Abstract

Glaucoma and diabetic retinopathy identification conduct form fundus image. Artificial Neural Network can be used as algorithm to identify glaucoma and diabetic retinopathy. Dataset contains 60 fundus image consist of 20 glaucoma fundus image, 20 diabetic retinopathy fundus images and 2- normal fundus image. The result are 86,6% for average recall, 86,6% for average precision and 91,06% for average accuracy.

Item Type:	Article
Uncontrolled Keywords:	dentifikasi, Glaukoma, Diabetes Retinopati, Fundus, Jaringan Saraf Tiruan
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Ni Made Yunia Dwi Savitri
Date Deposited:	17 Nov 2022 01:31
Last Modified:	17 Nov 2022 01:31
URI:	http://eprints.triatmamulya.ac.id/id/eprint/1752

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