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All Journal JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Paradigma Journal of Information Technology and Computer Science (JOINTECS) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNOLOGI DAN OPEN SOURCE Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal ICT : Information Communication & Technology JSAI (Journal Scientific and Applied Informatics) INTI Nusa Mandiri Generation Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Reswara: Jurnal Pengabdian Kepada Masyarakat Yayasan Cita Cendikiawan Al Khwarizmi Jurnal J-PEMAS Jurnal Pendidikan Sains dan Komputer Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Puan Indonesia Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Internet of Things and Artificial Intelligence Journal Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS The Indonesian Journal of Computer Science
Budy Satria
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Journal : JOIV : International Journal on Informatics Visualization

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Comparative Analysis of Weighted-KNN, Random Forest, and Support Vector Machine Models for Beef and Pork Image Classification Using Machine Learning Satria, Budy; Afrianto, Nurdi; Ningsih, Lidya; Sakinah, Putri; Sidauruk, Acihmah; Mayola, Liga
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3736

Abstract

The actual problem that occurs in the sale of meat by some conventional market traders is mixing beef with pork because of the high selling price. The difference between pork and beef lies in the color and texture of the meat. However, many people do not understand this difference. This study aims to provide a solution to distinguish the two types of beef through a classification process by obtaining the best accuracy using the W-KNN, RF, and SVM models based on machine learning. This study compares the model's performance based on the number of datasets, comprising 400 original images (200 beef and 200 pork images), using a 80:20 ratio for training and test data. The extraction process uses two algorithms: HSV (Hue, Saturation, Value) and RGB (Red, Green, Blue). The model evaluation uses a confusion matrix that includes accuracy, Precision, Recall, and F1-score. Based on the results of the model testing, it was found that the random forest algorithm gave the best overall results, with the highest accuracy of 98.75%, Precision of 97%, F1-score of 98%, and recall of 99% on the number of decision trees of 400. This shows the stability and generalization of the superior model. The random forest algorithm is the most effective for classifying beef and pork data with minimal errors. Implications for further research include using a deep learning approach, especially for image processing, to detect differences in each meat characteristic and increase accuracy.
Co-Authors Anggi Hadi Wijaya Abdussalam Al Akbar Acihmah Sidauruk Adi Prastya Adinda Raudhatul Jannah Afdhal Dinilhak Afifah Nur Latifah Afrianto, Nurdi Aldo Eko Syaputra Alex Rizky Saputra Alimuddin Yasin Ashari, Muhammad Al Azizah, Tiara Bister Purba Budi Permana Putra Candra Surya Candra, Dori Gusti Alex Chairil, Slamet Chalida Hanum Darmansah Darmansah Darmansah Darmansah Dedi Lesmana Dwi Asti, Ajeng Efendi, Irman Efitra Efitra Efitra Elfitra FAJAR, LM Firma Firma Fitra Yuda Gusla Nengsih, Yeyi Hafiz Mursalan Hendra, Yomei Irman Efendi Khairi, Luthfil Khelvin Ovela Putra Leonard Tambunan Leonard Tambunan Liga Mayola LM Fajar Israwan, LM Fajar Luthfil Khairi Maulana, Fajar Meiditra, Irzon Muhammad Iqbal Muhammad Iqbal Mulia Sulistiyono Murni, Aprilia Mutamassikin Mutamassikin Ningsih, Lidya Nurcholis, Muhammad Tofa Nurfiah Qori Islami Aris Radillah, Teuku Raditya Wardhana Rahman, Arifan Rahman, Zumardi Rahmi Eka Putri Ratu Mutiara Siregar Resad Setyadi SAKINAH, PUTRI Samosir, Khairunnisa Saputra, Alex Rizky Sarah Astiti S.Kom., M.MT Sepriano Sepriano Siti Sahara Lubis Sri Wulandari Supriatin Supriatin, Supriatin Syamsul Arifin Syarif Hidayatullah Tambunan, Leonard Teuku Radillah Teuku Radillah Teuku Radillah Tomy Nanda Putra Vita Amelia, Vita Wahyudi Willi Novrian Willi Novrian Yessi Ratna Sari Yessi Ratna Sari Yessi Ratna Sari Zamora, Sasya