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All Journal CommIT (Communication & Information Technology) Jurnal Informatika Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Informatik : Jurnal Ilmu Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JISA (Jurnal Informatika dan Sains) Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Data Sciences J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Sains Informatika Terapan (JSIT) Indonesian Journal of Aerospace
Iskandar Fitri, Iskandar
Bina Nusantara University Master of Information Technology
Aerospace Engineering Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Catfish Fry Detection and Counting Using YOLO Algorithm Takyudin, Takyudin; Fitri, Iskandar; Yuhandri, Yuhandri
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.6746

Abstract

The development of computer vision technology is growing very fast and penetrating all sectors, including fisheries. This research focuses on detecting and counting catfish fry. This research aims to apply deep learning in detecting catfish fry objects and counting accurately so as to help farmers and buyers reduce the risk of loss. The detection system in this research uses digital image processing techniques as a way to obtain information from the detection object. The research method uses YOLO Object Detection which has a very fast ability to identify objects. The object detected is a catfish puppy object that is given a bounding box and the detection label displays the class name and precision value. The dataset amounted to 321 images of catfish puppies from internet and photography sources that were trained to produce a new digital image model. The number of split training, validation and testing datasets is worth 831 annotation images, 83 validation images and 83 images for the testing process. The value of the training model mAP 50.39 %, Precision 61.17 % and Recall 58 % Detection test results based on the YOLO method obtained an accuracy rate of 65.7%. The avg loss value in the final model built with YOLO is 4.6%. Based on the results of tests carried out with the number of objects 50 to 500 tail size 2-8 cm using video, objects in the image are successfully recognized with an accuracy of 63% to 70%. Calculations using the YOLO algorithm show quite good results.
Co-Authors Abdul Aziz Abdullah, Mohammad Aldinugroho Abdullah, Syamsun Nahar Ade saputra Agus Iskandar Albaar Rubhasy Aldisa, Rima Tamara Alhadi, Alhadi Andrianingsih Ardiansyah, Aldi Aris Gunaryati, Aris Arundy, Vicky Agnes Azamta, Firnas Benrahman Burhani, Hanif Rahman Cahyadi, Iman Deny Hidayatullah Devita, Retno Dinul Akhiyar Efendi, Akmar Endah Tri Esti Handayani Ernawati Ernawati Fauziah Fauziah Fauziah, F Febri Hadi Finny Fitry Yani Furqaansyah, Yoga Gunadi Widi Nurcahyo Gunaryarti, Aris Gunaryati, Agus Haryono, Muklis Hasbulloh, Hasbulloh Herlan, Agus Humansyah, Hanggita Ahmad Iriandi, Aditya Nuryudha Irsandi, Johar Saputra Jayanti, Riza Dwi Khuzaifi, Ahmad Kristian, Mikhael Lesmana, Delles Mardia, Ahmad Muslih Mardiani, Eri Masparudin, Masparudin Muchlis, Muhammad Muttaqin Muhammad Khairul Muhammad Ridwan Muhammad, Fauzan Nehe, Kurniadin Novi Dian Nathasia Nurhayati Nurhayati Nurhayati, Nurhayati Oka Saputra Oktavia, Yolanda Nur Pangestu, Danang Aji Prayogi, Bayu Setyo Putra, Muhammad Aldi Aditia Putra, Wisnu Andika Rahman, Ben Rini Nuraini, Rini Rohadi, Chairil Sari Ningsih Sari Ningsih Shofi, Niam Sholihatih, Ira Diana Silfia Andini, Silfia Situmorang, Daud Sopiyan, Muhamad Sumarhadi, Sumarhadi Sumijan Sumijan Supriyanto Supriyanto Suryadi Suryadi Syafii, Muhammad Faiz Syafrika Deni Rizki, Syafrika Deni Syiamtoni, Eky Pambudi Takyudin, Takyudin Taslim, Denis Utomo, Budi Tri Wilianto Wilianto Yauma, Alfath Yudhi Setiawan Yuhandri Yuhandri, Yuhandri Zayana, Muhammad Rafiq Zikrullah, Alhadi Putra