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All Journal Jurnal Buana Informatika Indonesian Journal of Information System Majalah Anestesia & Critical Care (MACC) JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Yodi
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Computer Science & IT Decision Sciences, Operations Research & Management Medicine & Pharmacology

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Journal : Indonesian Journal of Information System

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Coral Detection based on Optimised Lightweight YOLO Model Saragih, Raymond Erz; Husin, Husna Sarirah; Mursalim, Muhammad Khairul Naim; Yodi
Indonesian Journal of Information Systems Vol. 8 No. 1 (2025): August 2025
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v8i1.11628

Abstract

Coral reefs are essential marine ecosystems that face significant threats due to climate change, pollution, and overfishing. Effective monitoring is crucial for conservation efforts, but traditional methods are labor-intensive and inefficient. This study proposes a deep learning-based coral detection model built based on the YOLOv8 architecture, specifically for nano and small. In addition, the Ghost modules and Ghost bottlenecks were utilized to modify the original YOLOv8 small. The proposed model was trained on an underwater coral dataset and evaluated in terms of precision, recall, and mean Average Precision (mAP) metrics. Experimental results demonstrate that the YOLOv8 small model and YOLOv8 small model with Ghost modules achieved a mAP of 53.675% and 55.88%, respectively, while maintaining a compact model size. This work contributes to developing efficient and lightweight coral detection systems to support conservation efforts.
Co-Authors Anton, Oey Dalimunthe, Aldi Hafiz Husin, Husna Sarirah Ilwan Syafrinal MUHAMMAD KHAERUL NAIM MURSALIM Pernando, Yonky Purnajaya, Akhmad Rezki Putra, Marco Manza Adi Saragih, Raymond Erz