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Saputri, Utamy Sukmayu
Civil Engineering Departement, Nusa Putra University Sukabumi
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Transportation Other

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Journal : Journal of Educational Technology and Learning Creativity

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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.
Co-Authors Aditya Saputra Aditya, Tommy Alfarizi, Moch. Salman Amdani, Selfin Anugrah Anang Suryana Andreas Seantanu Anggy Pradiftha Junfithrana Ardin Rozadi Asep Junaedi Asep Sapei Ayu Novita Lestari Ayusdira, Adi Iranda Cindy Yulia Agustin Damas Permadi, Dio Danang Purwanto Debby Rahmawati Dede Permana Dede Rifki Rahmatullah Dede Sukmawan Deshinta Arovva Dewi Dini Oktarina Dwi Handayani Dio Damas Permadi Dio Damas Permadi Eka Gadara Fadil Ismail Fajar, Gelar Rahadian Farhan Syahdar Arrafi Gumilang, Adam Hanafiyah, Ali Akbar Hasbullah, Dasep Hendri Mulyana Iman Noorzaman Indri Khoerunnisa Isdaryanto Iskandar Kamila, Siti Nur Karim, Fahmantha Ardhi Korkmaz, Hatice Betul Kornienko Elena Vladimirovna Langlangbuana, Muhammad Labib Lugovaya Nika Vyaceslavovna Mahamad, Abd Kadir Marina Artiyasa mayasari, bia Moch. Aditya Saputra Mochamad Ardi Maulana Mohamad Najib Muchtar Ali Setyo Yudono Muhammad Hidayat Muhammad Hidayat Muhammad Hidayat Muhammad, Sahrul Mahdi Nanda Ikhwan Khair Nenda Neng Hodijatul Kubro Nezar, Shah Niels vuegen Niels vuegen Nugraha, Irvan Dyo Nugraha, Regal Nuramanah, Siti Nurdin Nurjamilah, Siti Oki Guntara Oksana Viktorovna Zadorozhnaya Onn, Choo Wou Paikun Pasha, Muhammad Kemal Radius Pranoto Risma Nurmayanti Rozandi, Ardin Ruli Maulana Salsabila, Nisrina Samudra, Perdy Imam Sangkek, Mikha Ikak Shcherbak Petr Nikolaevich Siti Halimah Sadiah Suhendi, Cece Susanto, Daniel Arie Syahra, Meutya Syaripah, Aldi Tarigan, Friska br Taufik Rido Triono Tsulis Iqbal Khairul Amar Tsullis Iq'bal Khairul Amar Umar Aditiawarman Vijayana, Defanny Zahra Wahyu Mulyo Utomo Yuli Suharnoto Yulia A Zalavsky Nikolay Ivanovich Zulfaturahmah