Article Per Year (5 Year)
p-Index From 2021 - 2026
0.947
P-Index
This Author published in this journals
All Journal JURNAL ILMIAH INFORMATIKA Infotech: Journal of Technology Information
Effendy, Vina Ardelia
Unknown Affiliation
Computer Science & IT

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JURNAL ILMIAH INFORMATIKA

 1 
PERBANDINGAN ALGORITMA CANNY EDGE DETECTION DAN PREWITT PADA DETEKSI STADIUM DIABETIK RETINOPATI Vina Ardelia Effendy; Febri Maspiyanti
JURNAL ILMIAH INFORMATIKA Vol 9 No 02 (2021): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v9i02.3762

Abstract

Diabetes is a serious threat to human health. In 2016, non-communicable diseases including Diabetes accounted for 70% of the total causes of death in the world. Diabetes if left unchecked will cause complications that can attack other organs to cause blindness called Diabetic Retinopathy (DR). Ophthalmologists make a grouping of diabetic characteristics of retinopathy by observing the retinal images of the eye taken using a fundus camera. This method requires a long time in the observation that allows errors in making observations, so image processing is needed to detect and classify the stage of diabetic retinopathy suffered by the patient. Thus, this research aims to help the process of early treatment of patients with diabetic retinopathy so as not to cause blindness. The data used in this study is DB0 Diaret data with a pixel size of 128 x 104 and the amount of data is 131. The methods used in this system include Canny Edge Detection, Prewitt, and stadium readings using Artificial Neural Network Algorithms. In this study the highest accuracy results obtained on the Canny Edge Detection method with a value of 90% while the Prewitt method has a 79% result. So, we get the conclusion that Canny Edge Detection is considered better.
Co-Authors Alif Shofa Danutirta Alifiansyah, Fadlan Nur Amannu, Ramadhan Fathoni, Achmad Robbi Febri Maspiyanti Febriansyah, Muhammad Murien Nugraheni Qital, Dari Aulia Sulasno, Mitsal Shafiq Syabifi, Fiqla Uning Lestari Widodo Widodo Yunanto, Prasetyo Wibowo Zukhruf, Elevina