Article Per Year (5 Year)
p-Index From 2021 - 2026
6.241
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JOIV : International Journal on Informatics Visualization JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Jurnal Abdimasa TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol JMECS (Journal of Measurements, Electronics, Communications, and Systems) Jurnal Teknik Informatika (JUTIF) Jurnal Ilmu Komputer dan Informatika Journal of Informatics and Communication Technology (JICT) Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Engineering Journal of Informatics and Communication Technology (JICT)
SOFIA SAIDAH
Telkom University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Other

Published : 67 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JOIV : International Journal on Informatics Visualization

 1 
Cataract Classification Based on Fundus Images Using Convolutional Neural Network Richard Bina Jadi Simanjuntak; Yunendah Fu’adah; Rita Magdalena; Sofia Saidah; Abel Bima Wiratama; Ibnu Da’wan Salim Ubaidah
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.856

Abstract

A cataract is a disease that attacks the eye's lens and makes it difficult to see. Cataracts can occur due to hydration of the lens (addition of fluid) or denaturation of proteins in the lens. Cataracts that are not treated properly can lead to blindness. Therefore, early detection needs to be done to provide appropriate treatment according to the level of cataracts experienced. In this study, a comparison of cataract classification based on fundus images using GoogleNet, MobileNet, ResNet, and the proposed Convolutional Neural Network was carried out. We compared four CNN architectures when implementing the Adam optimizer with a learning rate of 0.001. The data used are 399 datasets and augmented to 3200 data. This test's best and most stable results were obtained from the proposed CNN model with 92% accuracy, followed by MobileNet at 92%, ResNet at 93%, and GoogLeNet at 86%. We also make comparisons with previous research. Most of the previous studies only used two to three class categories. In this study, the system was improved by increasing system classifies into four categories: Normal, Immature, Mature, and Hypermature. In addition, the accuracy obtained is also quite good compared to previous studies using manual feature extraction. This study is expected to help medical staff to carry out early detection of cataracts to prevent the dangerous effect of cataracts and appropriate medical treatment. In the future, we want to expand the number of datasets to improve the classification accuracy of the cataract detection system.
Co-Authors A F Akbar Abel Bima Wiratama Aditya S.B, I Dewa Agung Akbar Trisnamulya Putra Al Brando Ardes Harjoko Aliefiya Rachman Alif Fajri Ryamizard Alrizqi, Naufal Dwi Andre Megantoro, Andre Megantoro Angga Prihantoro Arfat, Ikrar Khaera ARIS HARTAMAN Azzahra, Fatima Bainuri, Aulia Novria Bambang Hidayat Bambang Hidayat Bambang Hidayat Bongso, Dery Febryanto Darwindra Darwindra, Darwindra Dea Sifana Ramadhina Denny Darlis Desi Dwi Prihatin Dyah Ajeng Pramudhita Effendi , Doni Oktavian Ibnu Efri Suhartono Enrico Wiratama Purwanto Fadia Qothrunnada Fardiyanti, Defitriana Fathurrahman, Muhammad Hanif Fatima Azzahra Fellia Rizki Kusumowardani Fiera Meiristika Utami Firdaus, Muhammad Ilham Zuhruf Fitria, Ismaulida Nur Gaol, Satya Wira Fernanda Lumban Gelar Budiman Hilman Fauzi, Hilman Hurianti Vidya I Putu Yowan Nugraha Suparta Ibnu Da'wan Salim Ibnu Da’wan Salim Ubaidah Ibnu Da’wan Salim Ubaidah Ikhwanda, Alfan Ikrar Khaera Arfat Inung Wijayanto Iqbal Kurniawan Perdana Israndy Yainahu Iwan Iwut Tritoasmoro Jangkung Raharjo Kintan Veriana Koredianto Koredianto Koredianto Usman Mas, Muhammad Sabri Masykur, Muhammad Fadhel Affandi Muhamad Rokhmat Isnaini Muhammad Bayu Adinegara Muhammad Ilham Muhammad Ilham Muhammad, Zalfa Alif Nabila Herman Nidaan Khofiya Nor Kumalasari Caecar Nor Kumalasari Caecar Pratiwi Nur Alyyu Nur Ibrahim Perdana, Iqbal Kurniawan Pramudhita, Dyah Ajeng PRATIWI, NOR KUMALASARI CAESAR Prayudi, Yoshi Prihantoro, Angga Putra, Akbar Trisnamulya Putri , Yusnita Putri, Tasya Busrizal Putri, Yusnita Qothrunnada, Fadia R. Yunendah Nur Fu’adah Rachmat Hidayat Ashary Raditiana Patmasari Ratna Sari Ratri Dwi Atmaja Reza Ahmad Nurfauzan Richard Bina Jadi Simanjuntak Rita Magdalena Rita Magladena Rita Purnamasari Robinzon Pakpahan Salsabil Farah Aqilah Wijaya Salsabila, Afap Sangkala, Muh Aslam Mahdi Sevierda Raniprima Subiakto, Septiaini Dela Susilo, Mochammad Hilmi Suwandhi, Adhisty Putrina Syamsul Rizal Syamsul Rizal Tahta Restu Adiguna Tasya Busrizal Putri Tita Haryanti Tsabita Al Asshifa Hadi Kusuma Vidya, Hurianti Wahid, Gloria Shekinah Florensia Wibisono Sabdo Utomo WIDIANTO, MOCHAMMAD HALDI Widya Alisya Kusuma Ningrum Yunendah Fu’adah Zakiah Zakiah