Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Nasional Teknologi Informasi dan Aplikasinya
Elia, Benny
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Klasifikasi Kesegaran Daging Sapi Menggunakan Deep Learning Arsitektur VGG16 Dengan Augmentasi Citra Elia, Benny; Darmawan, I Dewa Made Bayu Atmaja
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Beef is one of the best foods to eat. However, to identify beef manually has a weakness, namely the limitations of human visual abilities. Therefore it is necessary to have an indicator of the level of freshness of the meat. This study uses image augmentation to change or modify images and use Convolutional Neural Network (CNN) with VGG16 architecture to perform image classification. The accuracy obtained with epoch 15 and the distribution of data by 80% of training data and 20% of validation data is the highest accuracy obtained, which is 97.14% and when tested with validation data it gets an accuracy of 98.68%. Overall, the model that has been used can classify the freshness of beef well.
Co-Authors I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu