Jurnal

Using Artificial Neural Network for System Education Eye Disease Recognition Web-Based

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ABSTRACT
The problem in this study is how to educate the public about the introduction of eye diseases based on information on symptoms of the disease and how to apply the web-based Artificial Neural Network (ANN) algorithm for the introduction of eye diseases. The ANN algorithm in the eye disease recognition education system can conclude knowledge even though it does not have certainty and takes it into account sequentially so that the process is faster. The aims of this research is to create an educational system for the introduction of eye diseases based on information on symptoms of the disease and to apply a web-based Artificial Neural Network (ANN) algorithm for the recognition of eye diseases. The method used is the Artificial Neural Network algorithm method. The work of ANN in the education system for the introduction of eye diseases is to make parameters of eye disease symptoms or indicators that will produce the type of eye disease. The result of the research is to create an education system that can help the public recognize eye diseases based on the symptoms of these eye diseases that can be run on a web platform. Based on white box testing, the test results are free from logical errors. The results of this study indicate that the use of the ANN algorithm for eye disease recognition shows accurate results based on eye disease symptom data. Based on the accuracy test, 80% was obtained by doing 25 tests.
Keywords: Artificial Neural Network (ANN), Eye Disease, Education, Recognition, Web.

Other Source:
https://www.scientific.net/
https://www.scientific.net/JBBBE.55.262
https://drive.google.com/file/d/1eIBlaIdgahu_ZfeQYtBVfPaSmNKZMiuz/view?usp=share_link
https://doi.org/10.4028/p-7z9xpt
https://www.scopus.com/sourceid/21100332407
https://www.scimagojr.com/journalsearch.php?q=21100332407&tip=sid&clean=0

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Ketersediaan

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Informasi Detail

Judul Seri

Journal of Biomimetics, Biomaterials and Biomedical Engineering

No. Panggil

081.1 RIS u.a

Penerbit

Switzerland : Trans Tech Publications., 2022

Deskripsi Fisik

17 hlm., A4

Bahasa

English

ISBN/ISSN

2296 9837

Klasifikasi

081.1

Tipe Isi

Text dan Gambar

Edisi/Cetakan

Volume 55, 2022

Subjek

eJurnal

Lampiran File