Article Per Year (5 Year)
p-Index From 2021 - 2026
2.908
P-Index
This Author published in this journals
All Journal Electronic Journal of Graph Theory and Applications (EJGTA) BAREKENG: Jurnal Ilmu Matematika dan Terapan Indonesian Journal of Combinatorics InPrime: Indonesian Journal Of Pure And Applied Mathematics Tensor: Pure and Applied Mathematics Journal Pattimura Proceeding : Conference of Science and Technology Parameter: Jurnal Matematika, Statistika dan Terapannya PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Meilin Imelda Tilukay
Universitas Pattimura
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Klasifikasi Citra Tekstur Daging Sapi, Kambing, dan Babi Menggunakan Ekstraksi Fitur Wavelet Haar dan Symlet Berbasis Support Vector Machine Green Kenny Sarimanella; Francis Yunito Rumlawang; Harmanus Batkunde; Meilin Imelda Tilukay; A. Z. Wattimena
Tensor: Pure and Applied Mathematics Journal Vol 7 No 1 (2026): Tensor: Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol7iss1pp59-66

Abstract

Meat is one of the animal protein sources widely consumed by the public; however, distinguishing different types of meat visually is often difficult because they have very similar textures. This study applies the Support Vector Machine (SVM) method with feature extraction based on Haar Wavelet and Symlet Wavelet (Sym4) to classify texture images of beef, goat meat, and pork. The dataset consisted of 1200 digital images processed through resizing, grayscale conversion, and normalization stages. Feature extraction was performed using the Discrete Wavelet Transform (DWT) to obtain statistical texture features. The classification process employed the Radial Basis Function (RBF) kernel with a multiclass classification approach. The results showed that the Haar Wavelet achieved an accuracy of 96.67%, while the Symlet Wavelet (Sym4) achieved 94.17%. These findings indicate that the combination of wavelet methods and SVM is effective for automatic and objective meat type identification
Co-Authors A. N. M. Salman A. N. M. Salman A. Z. Wattimena Allu, Rifaldi Batkunde, Harmanus Ciptoadi, Rayhan Khalid F. Y. Rumlawang F. Y. Rumlawang, F. Y. Francis Y. Rumlawang Green Kenny Sarimanella H. W. M. Patty Haumahu, Gabriella Ilwaru, Venn Y. I. Latuconsina, Umi Aulia Vasa Latupeirissa, Sanlly J Lexy Janzen Sinay, Lexy Janzen Loves, Luvita Maitimu, Meldry W Novita Dahoklory Patty, Dyana Pelu, Shelma M Pranaya D. M. Taihuttu Pranaya D. M. Taihuttu Rahangmetan, R. D. S. Rumlawang, Francis Y Rumlawang, Francis Y. RUMLAWANG, FRANCIS YUNITO Sersian, Sintia Sara Taihuttu, Pranaya D. M. Taihutu, Pranaya Dharia M. Talakua, M. W. Titawanno, Tasya I. Wattimena, Abraham Z. Wattimena, Emanuella M C Z. A. Leleury Zeth A. Leleury Zeth Arthur Leleury, Zeth Arthur