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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Pembelajaran Berpikir Matematika HISTOGRAM: Jurnal Pendidikan Matematika Jurnal INSYPRO (Information System and Processing) Jurnal Eksplora Informatika Simtek : Jurnal Sistem Informasi dan Teknik Komputer WACANA Equals : Jurnal Ilmiah Pendidikan Matematika Just TI (Jurnal Sains Terapan Teknologi Informasi) Journal Software, Hardware and Information Technology Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Technologica Journal of Health, Education, Economics, Science, and Technology (J-HEST) AnoaTIK: Jurnal Teknologi Informasi dan Komputer Riau Jurnal Teknik Informatika System Information and Computer Technology (SYNCTECH)
Andi Tenriawaru
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : Jurnal INSYPRO (Information System and Processing)

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IMPLEMENTASI ALGORITMA CONVOLUTIONAL NEURAL NETWORK UNTUK MENGHITUNG KEPADATAN AYAM MENGGUNAKAN YOU ONLY LOOK ONCE Gunawan; Tenriawaru, Andi; Qamaria, Fitri
Jurnal INSYPRO (Information System and Processing) Vol 9 No 1 (2024)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v9i1.47363

Abstract

This research aims to apply the Convolutional Neural Network (CNN) algorithm to count the number of chickens in an image using the You Only Look Once (YOLO) method. YOLO is a reliable and real-time object detection algorithm. This research uses a dataset of chicken images collected from farms. The images are then preprocessed to improve their quality before being used as input for the CNN model. The CNN model is trained using the backpropagation algorithm to minimize the loss function. The research results showed that the use of YOLO was successful in producing an application for calculating chicken density. Blackbox testing shows that the application created functions well and meets user needs and the results of the matrix evaluation test show an average accuracy of 84%.
Co-Authors Abdillah Sam Mongkito, La Ode Muhammad Hafidz Ahmad Hoirul Basori Alfiyan, Arif Nur Ardan, Dion Andrawan Arisona, Dian Christien Arman Arman Arviana Rahman, Gusti Asrul Sani Aswani Aswani Azeslim, Azeslim BAGUS WICAKSONO Baharuddin Bahriddin Abapihi Budiman, Herdi Dwi Sumatri, Bayyinahtun Edi Cahyono Edi Cahyono Efendi, Ilham Julian Fredinan Yulianda Friska Amelia Fuji Astuti Gunawan Gunawan , Gunawan Gunawan Gunawan Hamundu, Ferdinan Murni Hasbi, Irham Ida Usman Julian, Juang Julianti, Annisa A Jumadil Nangi Kumala Dewi La Ode Saidi La Surimi La Surimi, La Lilis Laome Magfirah, Yaumil Maisyarah, Dwi Cahya Muhammad Alfian Izzah Muhammad Kabil Djafar Muhammad Yusril Muhibi, Muhibi Muhtar, Norma Muhtar Mukhsar . Nana Sumarna Nara Kusuma Prasanjaya, Putu Natalis Ransi Natalis Ransi, Natalis Qamaria, Fitri Rahmah Saniatuzzulfa Rahman, Gusti Arviana Rahman, Hamka Rashid Armin Rauf, Budi Wijaya Rizal Adi Saputra Ruslan Ruslan Sahupala, Rahmalia Setiawan, La Ode Muhammad Ilham Sulfikram Sumarni, St. Thaha, Abdullah Malik Fajar Tiftazani, Auni Tohamba, Muhammad Riansyah Tohamba, Riansyah Viska Inda Variani Wa Ode Irmayadani Wayan Somayasa Wibawa, Gusti Ngurah Adhi Yusuf, Ulfiana Yusuf, Ulfiana Zamrun F, Muh.