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All Journal International Journal of Electrical and Computer Engineering MEDIA PETERNAKAN - Journal of Animal Science and Technology Jurnal Ilmu Pertanian Indonesia Buletin Peternakan Pastura; Journal Of Tropical Forage Science Jurnal Veteriner Analisis: Jurnal Studi Keislaman Jurnal Agribisnis Indonesia (Journal of Indonesian Agribusiness) JURNAL PETERNAKAN Jurnal Ilmu Ternak Veteriner WARTAZOA Indonesian Bulletin of Animal and Veterinary Sciences Journal of the Indonesian Tropical Animal Agriculture Jurnal Cita Hukum Jurnal Peternakan Indonesia Jurnal Ternak Tropika AGRIVITA, Journal of Agricultural Science JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan BERITA BIOLOGI Animal Production : Indonesian Journal of Animal Production Jurnal Penelitian Pendidikan IPA (JPPIPA) Tropical Animal Science Journal Jurnal Ilmu Nutrisi dan Teknologi Pakan Jambura Journal of Animal Science Jurnal Ilmu Peternakan Terapan Food ScienTech Journal Al-Syakhsiyyah : Journal of Law and Family Studies Computer Science and Information Technologies Madaniya Kordinat : Jurnal Komunikasi antar Perguruan Tinggi Agama Islam Wahana Peternakan JOURNAL of LEGAL RESEARCH Livestock and Animal Research Jurnal Legisia Jurnal Ilmiah Ilmu-Ilmu Peternakan Jurnal INFOTEL Jurnal Agripet
Nahrowi Nahrowi
Departemen Ilmu Nutrisi Dan Teknologi Pakan Fakultas Peternakan IPB, Bogor 16680
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Journal : Computer Science and Information Technologies

 1 
The effect of segmentation on the performance of machine learning methods on the morphological classification of Friesien Holstein dairy cows Amril Mutoi Siregar; Yohanes Aris Purwanto; Sony Hartono Wijaya; Nahrowi Nahrowi
Computer Science and Information Technologies Vol 4, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v4i1.p59-68

Abstract

Many classification algorithms are in the form of image pattern recognition; the approach to the complexity of the problem should be a feature of feasibility for representing images. The morphology of dairy cows greatly affects their health and milk production. The paper will apply several classification methods based on the morphology of Holstein Friesian dairy cows. To improve the accuracy of the model used, the segmentation process is the right step. In this paper, we compare several machine learning algorithms to get optimal accuracy. The algorithm used a support vector machine (SVM), artificial neural networks, random forests and logistic regression. Segmentation methods used are mask region-based convolutional neural network (R-CNN) and Canny; optimal accuracy is expected to create intelligent applications. The success of the method is measured with accuracy, precision, recall, and F1 Score, as well as testing by conducting a training-testing ratio of 90:10 and 80:20. This study discovered an artificial neural network optimal model with Canny with an accuracy of 82.50%, precision of 87.00%, recall of 79.00%, F1-score of 81.62%, and testing ratio of 90:10. While the models with the highest 80:20 ratio achieved 84.39% accuracy, 88.46% precision, 80.47%, and 83.00% F1-score with mask R-CNN with logistic regression.
Co-Authors . Adawiah ., Harianto A Budiansyah A'dam, Syahrul A. Atabany, A. A. Fitri A. Irawan A. Sofyan A. Sofyan A. T. Wahyudi A. Yulifah A.D Hasjmy Adam, Syahrul Adawiah . Afton Atabany Agus Musta Rindi Agus Setiyono Ahmad Yani Ainun Nafisah Alifianty, Ouldya Fasya Allaily Allaily Allaily Allaily Allaily Allaily Almira Firna Fitrianti Ludfi Alya Nur Zahra Alysa alysa Anuraga Jayanegara Armaji, Yone Azhar Amir B. P. Purwanto Bagus Priyo Purwanto C. Hidayat C. Nugraheni D. A. Astuti D. A. Astuti D. Setiawan D.A. Astuti DA Astuti Darsono, W. DEWI APRI ASTUTI Dinda Ayu Permata Sari Dwi Margi Suci E. B. Laconi E. B. Laconi E. B. Laconi, E. B. Elfawati Enang Harris Eneh Maesaroh Erica B. Laconi Fariyanti, Anna Feri Kusnandar Fitri Kurnia Nikmah, Fitri Kurnia Francois Gustav Naryadi I wayan Teguh Wibawan ING MOKOGINTA Intan Nursiam Isnaini Dafri Isnaini Dafri J. Nomura Jidan Ramadani K. G. Wiryawan Komang G Wiryawan L. Abdullah L. Abdullah L. Abdullah Laili Fithri Hidayati Lendrawati Lendrawati Luki Abdullah M. Abdelbagi M. Aman Yaman M. M. Sholikin Madnur, Madnur Maggy T Suhartono Mardiah Rahmadani Markistiandi Fadhilah Martin, Rima Shidqiyya Hidayati masyrofah masyrofah, masyrofah Maya Shofiah Mira Andriani Mochammad Dzaky Alifian Muhammad Akbar Muhammad Ali Murtadlo Muhammad Hafidz Hasbullah Muhammad Ridla Muis, Nurmaya Rahmawati Mutiara Rizky Raisa N. Laylli Nadia Safira Nahdhiyah Alhasanah Niken Ulupi Novandri, B. Nur Santy Asminaya Nursiam, Intan Nurul Handayani Panca Dewi Manu Hara Karti Permatasari, Fila Pramujo, Muhammad Pratama, Apriyadi Romadon Puput Irfansyah Puspita, Poppy Satya Putri, E. I. K. R A Nurfitriani R Estiana R Priyanto R Ridwan R. K. Rusli R. P. Harahap R. P. Harahap R. Ridwan R. Ridwan R. Solfaine Rahayu Asmadini Rosa Rakhmad Perkasa Harahap Ramadhani, Irwan Resmi Resmi Retno Budi Lestari Ria Estiana Ridwan, W. A. Rima Martin Rima Shidqiyya Hidayati Martin Rismawati . Rita Mutia S Mawaddah S Said S. P. Dewi S. Suharti S. Sunarto Sadarman Sadarman Sadarman Sakinah, Raudhoh Gholia Sakinah, Raudoh Gholia Salundik Siregar, Amril Mutoi Sofyan, Aa Sony Hartono Wijaya Suharlina Suharlina Suharti, Sri Sumiati . Sumiati . Syahruddin Syahruddin T Sutardi T Toharmat T. Obitsu Tazkiyah Annisa Utari Theo Mahiseta Syahniar TOHA SUTARDI Toto Toharmat Tri Aminingsih U H Tanuwiria Veybe G. Kereh W Hermana W Manalu Wahyuni Wahyuni Wasmen Manalu Widya Hermana Winanningrum, Anik Yantina, N. Yantyati Widyastuti Yatno Yaumil, Syahrul Yusmadi Yusmadi