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All Journal Jurnal Teknologi Perikanan dan Kelautan
Indra Jaya
Department of Marine Science and Technology, Faculty of Fisheries and Marine Sciences, IPB University, Jl. Agatis, IPB Dramaga Campus, Bogor 16680, Indonesia
Agriculture, Biological Sciences & Forestry Education Library & Information Science

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ACOUSTICS BACKSCATTER MEASUREMENT OF LARGE MICROPLASTICS IN CONTROLLED CONDITIONS USING A SINGLE BEAM ECHOSOUNDER: PENGUKURAN ACOUSTICS BACKSCATTER LARGE MICROPLASTICS DALAM KONDISI TERKONTROL DENGAN ECHOSOUNDER SOROT TUNGGAL Bimo Aji Nugroho; Henry M. Manik; Indra Jaya; Muhammad Reza Cordova
Jurnal Teknologi Perikanan dan Kelautan Vol. 17 No. 1 (2026): FEBRUARY 2026
Publisher : Fakultas Perikanan dan Ilmu Kelautan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24319/jtpk.17.14-27

Abstract

Microplastics are particles ≤ 5 mm in size that result from the physical and chemical degradation of polymer-based materials. These particles are ubiquitously distributed in aquatic environments and pose significant threats to aquatic organisms. Currently, microplastic detection predominantly relies on water-sample analyses at a particular point, a method that is inherently limited in spatial coverage. Hydroacoustic techniques offer a promising alternative for detecting microplastics within the water column over larger areas. This study aims to assess the detection of large microplastics (1–5 mm) using a single-beam echosounder (SBES), specifically the Simrad EK-15, under laboratory-controlled conditions. Data validation was performed by comparing acoustic measurements with water-sample analyses using correlation and regression methods. The results reveal high model suitability with coefficients of determination exceeding 0.8 (R² > 0.8) and strong linear correlations (r > 0.8) between the two datasets. Furthermore, the average volume backscattering coefficient (sv) for large microplastics at depths corresponding to 1.5, 1, and 0.5 m were 9.025E-05, 5.403E-05, and 6.850E-05 m²/m³, respectively, while the mean volume backscattering strength (SV) values were -40.445 dB, -42.674 dB, and -41.643 dB at these depths. These findings underscore the efficacy of the SBES in detecting microplastics sized 1–5 mm within the water column and suggest that hydroacoustic methods can serve as a viable approach for expanding microplastic monitoring capabilities.
ENHANCING UNDERWATER LIVE FISH DETECTION PERFORMANCE WITH YOLOV11 AND IMAGE ENHANCEMENT TECHNIQUES IN A REAL-TIME SYSTEM: PENINGKATAN KINERJA DETEKSI IKAN HIDUP BAWAH AIR MENGGUNAKAN YOLOV11 DAN TEKNIK PENINGKATAN CITRA WAKTU NYATA Muhammad Iqbal; Indra Jaya; Yeni Herdiyeni; Dedi Jusadi; Totok Hestirianoto
Jurnal Teknologi Perikanan dan Kelautan Vol. 17 No. 3 (2026): AUGUST 2026
Publisher : Fakultas Perikanan dan Ilmu Kelautan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24319/jtpk.17.401-412

Abstract

Underwater fish detection is challenged by low light, turbidity, and blue-green color dominance from light attenuation. This study aims to compare six image-enhancement scenarios (baseline, CLAHE, Retinex Ultra Lite, UDP, UDP Super Lite, and Gamma Correction + White Balance) combined with YOLOv11 to evaluate their detection accuracy and inference speed under challenging underwater conditions, and identify the most suitable method for real-time embedded underwater vision. Experiments used a controlled fish tank, filmed with an OAK-D camera under five natural lighting conditions (09:00–16:00 WIB). Performance was assessed qualitatively and quantitatively on a 600-frame test set (four illumination conditions), computing precision, recall, and mAP@0.5 from YOLOv11 predictions, plus inference speed in frames per second (FPS) on a Raspberry Pi 5 + OAK-D. CLAHE gave the best balance (precision 0.86, recall 0.83, mAP@0.5 0.84, 17 FPS); Gamma + White Balance was slightly less accurate (mAP@0.5 0.82) but faster (19.8 FPS); both outperformed the baseline (mAP@0.5 0.69, 21.3 FPS). Retinex Ultra Lite, UDP Super Lite, and full UDP all fell below 15 FPS (5.8–8.7 FPS), making them unsuitable for real-time edge deployment despite similar or lower accuracy. Lightweight, effective enhancement significantly improves real-time underwater fish detection on embedded devices, with CLAHE identified as the most suitable method for underwater object identification and quantification systems.
Co-Authors Bimo Aji Nugroho Dedi Jusadi Henry M. Manik Hestirianoto, Totok Muhammad Iqbal Muhammad Reza Cordova Yeni Herdiyeni