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All Journal Infotech Journal JITEK (Jurnal Ilmiah Teknosains) Format : Jurnal Imiah Teknik Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Indonesian Journal on Software Engineering (IJSE) JIEET (Journal of Information Engineering and Educational Technology) InComTech: Jurnal Telekomunikasi dan Komputer Jurnal ULTIMATICS Jurnal ULTIMA Computing JURIKOM (Jurnal Riset Komputer) KOMPUTEK Majalah Ilmiah UNIKOM Jurnal Informatika dan Rekayasa Perangkat Lunak JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Infortech Djtechno: Jurnal Teknologi Informasi Computer Science (CO-SCIENCE) IMTechno: Journal of Industrial Management and Technology Simpatik: Jurnal sistem Informasi dan Informatika JUSTIN (Jurnal Sistem dan Teknologi Informasi) Journal of Artificial Intelligence and Digital Business International Journal of Advanced Science Computing and Engineering Journal Medical Informatics Technology Jurnal Informatika: Jurnal Pengembangan IT Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Waeisul Bismi
Universitas Bina Sarana Informatika
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Journal : journal medical informatics technology

 1 
Classification of Myopia Levels using Deep Learning Methods on Fundus Image Bismi, Waeisul; Na`am, Jufriadif
Journal Medical Informatics Technology Volume 1 No. 2, June 2023
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v1i2.8

Abstract

Disorders of the eye or also known as eye disease is a condition that can affect vision for some people in their lifetime. There are 40 types of eye disorders or eye diseases, one of which is Myopia. Myopia is a visual disturbance that causes objects that are far away to appear blurry, but there is no problem seeing objects that are near. Myopia or nearsightedness is also known as minus eye. From this description, it is very important to conduct research in detecting eye diseases before the increase in eye minus and blindness. This study aims to classify myopic eye disease using the Deep Learning method with several different architectures, namely the VGG16, VGG19 and InceptionV3V3 models. Where the first is to distinguish normal and abnormal while the other is to classify with Augmented myopia image dataset and non augmented myopia image dataset obtained from the Retinal Fundus Multi-Disease Image Dataset (RFMID). In the implementation of the Deep Learning method using 20 Epochs. The results of the accuracy of the classification of eye diseases using the non augmented myopia image dataset are 66.0% for the VGG16 architectural model, then 95.99% for the VGG19 architectural model and 93.99% for the InceptionV3 architectural model and the accuracy results using the Augmented myopia image dataset are 97.53% for the VGG16 architectural model, 97.53% for the VGG19 architectural model and 99.50% for the InceptionV3 architecture model.
Co-Authors Abdullah, Fikrian Nur Ade Ilham Febrianto Ade Setiawan Ade Setiawan Afrizal Achmad Gibran Agustiani, Sarifah Alviandi Agustin Anisa Febriyani Anton . Arina Selawati Astrid Noviriandini Bela, Sintia Dava Al Riziq Dennis Bramastha Deny Novianti Deny Novianti Dhiaulhaq Ramadhan Dicky Hariyanto Dimas Rizkiansyah Dwiza Riana Dwiza Riana Ery Kurniawan Fadhil Marzuqi Fahlapi, Riza Fajar Shidiq Farid Ramadhan Febriyani, Anisa Firmansyah Firmansyah Gata, Windu Hanggoro Aji Al Kautsar Hani Harafani Harianja, Putri Alletheia Hewiz , Alya Shafira Hildan Zafa Riyadi Ika Kurniawati Ika Kurniawati Ika Kurniawati Ince Olviana Inya Mete Jefiri Zai Jenianus Halawa Jessica Tedja Jim Maxwell Manampiring Jordy Lasmana Putra Jufriadif Na`am, Jufriadif Kurniawan, Ery Liya, Amel Maysaroh, Maysaroh Mugi Raharjo Muhamad Abdul Salam Muhammad Kiki Bagus Virmansa Muhammad Qomaruddin muhammad qomaruddin Muhammmad Qomaruddin Musriatun Napiah Nila Hardi Noor, Mohamad Nurardian, Ridwana Septian Nurbaety Nurbaety Putra Muamar Kadafi Putri, Destiana Putri, Halimmatussa’diyah Putri, Halimmatussa’diyah Qomaruddin, Muhammmad Rachmat Adi Purnama Rachmawati Darma Astuti Rachmawati Darma Astuti Raharjo, Mugi Rahmandhani, Rifqi Raka Satria Gumilang Raya Ramadhan, Farid Rangga Wardhana Rifqi Rahmandhani Rivana Rosandi RIZA FAHLAPI Rizal Fahlapi Rizkiansyah, Dimas Sakata, Yama Sulkhan Sandra Dewi Saraswati Saputra, Ari Setia Saputra, Atio Wahyudi Siregar, Aris Parnius Siti Marlina Siti Marlina Sulaiman Faqih Taufik Asra Thalut Syaputra Tommi Alfian Armawan Sandi Vannes Wijaya, Aryanata Yerico Purba Zalukhu, Sampril Yanus