Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Teknika: Jurnal Sains dan Teknologi
Doheir, Mohamed
Universiti Teknikal Malaysia Melaka
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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

Found 1 Documents
Search

 1 
Lovebird image classification based on convolutional neural network Auni, Amelia Gizzela Sheehan; Sari, Christy Atika; Rachmawanto, Eko Hari; Doheir, Mohamed
Jurnal Teknika Vol 19, No 2 (2023): AVAILABLE ONLINE IN NOVEMBER 2023
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/tjst.v19i2.21946

Abstract

Lovebird is a type of bird from the Psittacidae family, consisting of 90 generations. One of them is the genus Agapornis Selby or Lovebird, which has 9 species. In recognizing the differences of each species, you can use the Object Recognition system. One of them uses the popular CNN algorithm. The dataset was obtained from open sources totaling 8,992 datasets from 9 Agapornis species. It consists of 80% training images and 20% testing images from several datasets. After 10 accuracy tests, the results stated that the accuracy rate reached 89%. In addition, there are also extraction features extracted from images including color, shape, size, and texture characteristics. The things extracted in this study include the Mean, Standard Deviation, Kurtosis, Skewness, Variance, Entropy Value, Maximum Pixel, and Minimum Pixel. 
Co-Authors Auni, Amelia Gizzela Sheehan Christy Atika Sari Eko Hari Rachmawanto