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All Journal G-Tech : Jurnal Teknologi Terapan
Mochamad Andy Ardyansyah
Universitas Sangga Buana, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Sistem Deteksi Level Diabetic Retinopathy Melalui Citra Fundus Mata dengan Menggunakan Metode CNN (Convolutional Neural Network) Mochamad Andy Ardyansyah; Gunawansyah
G-Tech: Jurnal Teknologi Terapan Vol 7 No 4 (2023): G-Tech, Vol. 7 No. 4 Oktober 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i4.3332

Abstract

Diabetes is one disease that has a serious impact on eye health, especially in a condition known as Diabetic Retinopathy (DR). DR can cause retinal damage and potentially lead to vision loss. Therefore, early detection and regular monitoring are essential. This study aims to develop a system for detecting Diabetic Retinopathy levels on fundus images of the eye using the Convolutional Neural Network (CNN) method. CNN is one technique in the field of Deep Learning that has proven effective in complex image analysis such as medical images. The dataset used is an image of the fundus of the eye sourced from kaggle and has been labeled in each class. The system is made using matlab software that can classify Diabteic Retinopathy into five classes. The test results obtained the best results with an accuracy rate as high as 85%
Co-Authors Gunawansyah