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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research ILKOM Jurnal Ilmiah Computer Based Information System Journal Jurnal Teknik Mesin Jurnal Ilmu Komputer dan Bisnis Jurnal Ekonomi Manajemen Sistem Informasi Indonesian Journal of Social Work Journal of Applied Data Sciences Jurnal Cahaya Mandalika International Journal of Computer and Information System (IJCIS) International Journal of Engineering, Science and Information Technology Djtechno: Jurnal Teknologi Informasi Jurnal Tika Jurnal Info Sains : Informatika dan Sains Malikussaleh Journal of Mechanical Science Technology Jurnal Ilmiah Kebijakan dan Pelayanan Pekerjaan Sosial (Biyan) J-Intech (Journal of Information and Technology) Jurnal Minfo Polgan (JMP) Jurnal Puan Indonesia Journal International of Lingua and Technology JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Desain dan Analisis Teknologi Innovative: Journal Of Social Science Research Priviet Social Sciences Journal Jurnal Pengabdian Ibnu Sina Journal of Society Bridge JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Pengabdian Barelang Jurnal Sistem Informasi dan Manajemen Jurnal Accounting Information System (AIMS) Jurnal Polimesin Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Tukino, Tukino
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Journal : Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)

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Optimization of Machine Learning Models with Segmentation to Determine the Pose of Cattle Siregar, Amril Mutoi; Hartono Wijaya, Sony; Fauzi, Ahmad; Sen, Tjong Wan; Faisal, Sutan; Tukino, Tukino; Cahyana, Yana
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26750

Abstract

Image pattern recognition poses numerous challenges, particularly in feature recognition, making it a complex problem for machine learning algorithms. This study focuses on the problem of cow pose detection, involving the classification of cow images into categories like front, right, left, and others. With the increasing popularity of image-based applications, such as object recognition in smartphone technologies, there is a growing need for accurate and efficient classification algorithms based on shape and color. In this paper, we propose a machine learning approach utilizing Support Vector Machine (SVM) and Random Forest (RF) algorithms for cow pose detection. To achieve an optimal model, we employ data augmentation techniques, including Gaussian blur, brightness adjustments, and segmentation. The proposed segmentation methods used are Canny and Kmeans. We compare several machine learning algorithms to identify the optimal approach in terms of accuracy. The success of our method is measured by accuracy and Receiver Operating Characteristic (ROC) analysis. The results indicate that using the Canny segmentation, SVM achieved 74.31% accuracy with a testing ratio of 90:10, while RF achieved 99.60% accuracy with the same testing ratio. Furthermore, testing with SVM and K-means segmentation reached an accuracy of 98.61% with a test ratio of 80:20. The study demonstrates the effectiveness of SVM and Random Forest algorithms in cow pose detection, with Kmeans segmentation yielding highly accurate results. These findings hold promising implications for real-world applications in image-based recognition systems. Based on the results of the model obtained, it is very important in pattern recognition to use segmentation based on color even though shape recognition.
Co-Authors AA Sudharmawan, AA Agustina, Alvi Ahmad, Sandi Ahnaf, Naufal Zubdi Akbari, Wahyu Azriel Akmal, Khafid Khaulsar Alfiah, Agry Alfiansyah, Muhammad Rindra Algifanri Maulana, Algifanri Amalia Amalia Amrizal Amrizal Angeli, Alvin Annam, Dyno Syaiful Apriani, Fitria April Lia Hananto Arif Rahman Hakim Aripiyanto, Saepul Arnomo, Sasa Ani Arsyad, Fachry Aulia, Aldi Azwanti, Nurul Baru Harahap Berkah*, Kamila Catur Nugroho ceni kirani valensyah Danny Manongga Deddy Prihadi Dede Kuswanda Dien Noviany Rahmatika Dzulqarnain, Fahmi Eichler, Luiz Elisa, Erlin Fadli, Muhammad Abil Faisal, Sutan Fajrin, Alfannisa Fauzi Ahmad Muda Ferdiansyah, Indra Fifi, Fifi FIKRI HAIKAL Guntur, Muhamad Hananto, Agustia Handayani, Citra Handoko, Koko Harman, Rika Hartono Wijaya, Sony Hendry Hilabi, Shofa Shofiah Hindriyanto Dwi Purnomo Huda, Baenil I Gede Iwan Sudipa Irawan, Bei Harira Irwan Sembiring Iwan Setiawan Jasmine Dina Sabila Karyadi Karyadi Kurnia, Nisa Kusuma P, ⁠Shafira Putri Leony, Alvina Lindo, Junius Manalu, Soli Vernika Mildawati, Milly Muammar Khaddafi Mubarok, Piky Muhammad Nuzan Rizki Muhammad, Daniel Muslih, Muhamad Nahampun, Mawi Nanda, Rizki Aulia Nofriani Fajrah, Nofriani Novalia, Elfina Novaria, Rachmawati Nurapriani, Fitria Oganda, Decut Della Pandiangan, Satria Patya, Dhea Intan PERNANDO, Pernando Pratama, Daffa Agung Pratiwi, Mutiana Priatna, Bayu Priyatna, Bayu Purba, rehni jayana Purnomo, Andromedo Cahyo Putria, Narti Eka Ramadhan, Muhammad Faiz Reswara, Hadaya Abhista Rivai, Samuel Samosir, Epa Prima Melina Sari, Fitria Ratna Sari, Nilah Wati Indra Nur Meinda Sari Sarjon Defit Setianingsih, Krisna Dewi Sianturi, Nico Bangun Rezkyanto Silva, Tiago Simanjutak, Pastima Siregar, Amril Mutoi Situmorang, Awaljan Soleman, Soleman Sri Wahyuni Subarkah, Ade Suhara, Ade Sukoco, Dwi Heru Sulestra, Ikhwan Sumijan Sumijan Syahril Effendi Syelfiyananda, Syelfiyananda Tiodora, Jeremy Tjong Wan Sen Triandy, Oky Versanudin Hekmatyar Wibisosno, Eko Gunawan Wong, Hendri Yana Cahyana Yohanna Siahaan, Winda Yuhandri Yuhandri, Yuhandri Zetli, Sri Zulkifli, Mohamad