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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 Agripet
Nahrowi Nahrowi
Departemen Ilmu Nutrisi Dan Teknologi Pakan Fakultas Peternakan IPB, Bogor 16680
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Journal : International Journal of Electrical and Computer Engineering

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Two-stages of segmentation to improve accuracy of deep learning models based on dairy cow morphology Amril Mutoi Siregar; Yohanes Aris Purwanto; Sony Hartono Wijaya; Nahrowi Nahrowi
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i2.pp2093-2100

Abstract

Computer vision deals with image-based problems, such as deep learning, classification, and object detection. This study classifies the quality of dairy parents into three, namely high, medium, and low based on morphology by focusing on Bogor Indonesia farms. The morphological images used are the side and back of dairy cows and the challenge is to determine the optimal accuracy of the model for it to be implemented into an automated system. The 2-step mask region-based convolutional neural network (mask R-CNN) and Canny segmentation algorithm were continuously used to classify the convolutional neural network (CNN) in order to obtain optimal accuracy. When testing the model using training and testing ratios of 90:10 and 80:20, it was evaluated in terms of accuracy, precision, recall, and F1-score. The results showed that the highest model produced an accuracy of 85.44%, 87.12% precision, 83.79% recall, and 84.94% F1-score. Therefore, it was concluded that the test result with 2-stages of segmentation was the best.
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 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