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AN AUTOMATED FEED MANAGEMENT SYSTEM FOR HIGH-DENSITY CATFISH AQUACULTURE USING ACOUSTIC SENSORS AND MACHINE LEARNING Mai Kamal; Mona Abdallah; Tamer Youssef
Techno Agriculturae Studium of Research Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i6.2962

Abstract

The rapid expansion of high-density catfish aquaculture has increased the demand for efficient and precise feed management systems to optimize growth performance, reduce feed waste, and maintain water quality. Conventional feeding practices largely depend on fixed schedules and visual estimation, which often result in overfeeding or underfeeding, leading to increased production costs and environmental degradation. Recent advances in sensing technologies and artificial intelligence offer new opportunities to transform aquaculture management through data-driven and automated approaches. The purpose of this study is to develop and evaluate an automated feed management system for high-density catfish aquaculture by integrating acoustic sensors and machine learning algorithms. The system aims to accurately detect feeding activity and dynamically regulate feed delivery based on real-time fish behavior. This study employed a research and development design combined with experimental field testing. Acoustic sensors were deployed in catfish ponds to capture underwater sound patterns associated with feeding behavior. The collected acoustic data were processed using machine learning models to classify feeding intensity and determine optimal feeding duration. System performance was evaluated through accuracy testing, feed efficiency analysis, and comparative assessment against conventional feeding methods. The results show that the proposed system successfully identified feeding activity with high classification accuracy and significantly reduced feed waste compared to manual feeding practices. Feed conversion ratios improved, and water quality indicators remained more stable due to reduced excess feed accumulation. In conclusion, the automated feed management system demonstrates strong potential as an intelligent aquaculture solution for high-density catfish farming. By integrating acoustic sensing and machine learning, the system enhances feeding precision, supports sustainable aquaculture practices, and contributes to increased productivity and environmental efficiency.
Strategy for Developing the Professionalism of Soldiers of the 2nd Marine Arhanud Battalion in order to Increase the Readiness of Ampfibian Operations in order to Support the Main Tasks of the Marine Corps : Literature Review Sindu Yanuarianto; Achmad Sochfan; Tamer Youssef
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i2.3763

Abstract

Background. Modern military landscapes are shifting rapidly due to the rise of unmanned aerial vehicles (UAVs) and high-precision threats. In Indonesia, Batalyon Arhanud 2 Marinir serves as a vital defensive node for amphibious assets, but it must overcome professional and operational hurdles to remain effective against these contemporary combat disruptions. Purpose. This study aims to formulate a comprehensive development strategy specifically designed to enhance the professionalism and operational readiness of soldiers within the battalion, ensuring they can meet the demands of modern air defense. Method. The research employs a qualitative approach, utilizing a Systematic Literature Review and SWOT analysis. These frameworks are used to evaluate current training protocols, doctrinal structures, and existing human resource policies within the Indonesian Marine Corps. Results. Findings indicate that while technical mastery is improving, operational effectiveness is often hindered by excessive ceremonial duties and a lack of specific Counter-UAS (C-UAS) doctrine. There is a clear need to move away from analog training toward automated, simulation-centered models that prioritize technological literacy. Conclusion. Developing professional excellence through technical expertise and adaptive tactics is essential for national sovereignty. Transitioning to integrated, tech-driven training represents the most viable path to creating a lethal and responsive point air defense system for the future.