Aditya Yoga Adhiputra, . (2023) SISTEM KLASIFIKASI PENYAKIT PADA MATA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DENGAN ARSITEKTUR VGG16. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Eyes are vital organs in human life. The eyes have a role to digest visual information that is used and utilized in various activities. Director General Maxi revealed that cataracts, refractive errors, glaucoma, and diabetic retinopathy are priority diseases in visual impairments that result in blindness. One of the preventive actions before blindness occurs is to detect eye disease or eye disorders by building a system. The system built uses machine learning technology using a Convolutional Neural Network (CNN). This research focuses on creating a system for classifying eye diseases and normal eyes with the Convolutional Neural Network algorithm with VGG16 architecture. System development method used is waterfall method. The final result is a classification system for eye diseases using a convolutional neural network with a website-based VGG16 architecture which has an accuracy of 96.4%.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1910512081] [Pembimbing: Helena Nurramdhani Irmanda] [Penguji 1: Widya Cholil] [Penguji 2: Ati Zaidiah] |
| Uncontrolled Keywords: | Classification System, Eye Diseases, CNN |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | Aditya Yoga Adhiputra |
| Date Deposited: | 21 Aug 2023 04:13 |
| Last Modified: | 21 Aug 2023 04:13 |
| URI: | http://repository.upnvj.ac.id/id/eprint/25200 |
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