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The Effect of Dietary Probiotic and Oxygen Supply on the Growth and Survival Rate of Eels (Anguilla bicollor) Garnawansah, Gagan; Permana, Dian; Hasbullah, Dasep; Siregar, Zaenal Arifin; Wahyudi, Dzikri; Handoyo, Boyun; Amalia, Indrian Rizka; Sari, Ratna Indria
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.9998

Abstract

The aquaculture of Anguilla bicollor has significant economic potential, but persistent challenges continue to hinder profitability for farmers. Two of the most pressing issues are low dissolved oxygen levels and poor feed conversion efficiency. These problems slow eel growth and drive-up operational costs, creating a bottleneck for sustainable production. This study examines a combined strategy to tackle these challenges by integrating probiotics (Lactobacillus sp.) and paddlewheel aeration. Research was conducted at BLUPPB Karawang, using 600 juvenile eels in ponds subjected to four distinct treatments: (1) probiotics and paddlewheels together, (2) paddlewheels-only, (3) probiotics-only, and (4) a control group with no intervention. Over a 45-day period, survival rates (SR), relative growth rates (RGR), and feed conversion ratios (FCR) were carefully monitored. The findings were promising. Ponds that used both probiotics and paddlewheels achieved the best results: an RGR of 1.19%, an SR of 100%, and an FCR of 1.09. Probiotics contributed to better gut health and digestion, while the paddlewheels boosted water oxygenation—creating an ideal growth environment. While no direct interaction between the two methods was observed, their combined application proved highly effective in improving productivity and sustainability. This integrated approach offers a practical solution to some of the most significant challenges in Anguilla bicollor aquaculture.
IoT-VR Integrated Framework for Precision Prebiotic Dosing in Intensive Aquaculture: A Technology-Based Approach to Sustainable Fish Production Junfithrana, Anggy Pradiftha; Suryana, Anang; Saputri, Utamy Sukmayu; Hasbullah, Dasep; Langlangbuana, Muhammad Labib; Mahamad, Abd Kadir; Utomo, Wahyu Mulyo; Onn, Choo Wou; Korkmaz, Hatice Betul
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2497

Abstract

Purpose of the study: This study aimed to develop and validate an integrated precision aquaculture framework that combines IoT-controlled multi-prebiotic dosing, centralized environmental monitoring, and virtual reality-based operator training to improve water quality, fish growth performance, and operational competency in intensive multi-pond fish farming systems. Methodology: A closed-loop precision aquaculture system was implemented for 30 days in 40 homogeneous circular ponds. The system used centralized sensors (dissolved oxygen, pH, temperature), IoT-actuated solenoid valves with inline flow sensors for four prebiotic formulations, Water Quality Index computation, VR-based operator training, and statistical analysis using one-way ANOVA, multiple linear regression, and paired t-tests. Main Findings: IoT-based management significantly improved Water Quality Index, survival rate, and specific growth rate compared with manual management. Automated prebiotic dosing was volumetrically accurate and consistently on time. Higher water quality strongly correlated with better growth and survival. VR training substantially reduced operator task completion time and operational errors, enhancing overall system efficiency and reliability. Novelty/Originality of this study: This study presents a fully integrated multidisciplinary precision aquaculture framework that uniquely combines IoT-driven multi-prebiotic automated dosing, centralized environmental monitoring for homogeneous pond networks, and VR-based immersive training as an active human–system interaction layer. It advances current knowledge by demonstrating a scalable, technology-mediated model that unites automation, water quality management, and skill development in intensive aquaculture.