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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Media Agribisnis Juvenil: Jurnal Ilmiah Kelautan dan Perikanan Jurnal Pengabdian Perikanan Indonesia Jurnal Pengabdian kepada Masyarakat Jurnal Nauli Jurnal Media Akuakultur Indonesia International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Cakrawala Ilmiah Jurnal Pengabdian Mandiri Room of Civil Society Development Jurnal Pengabdian Khairun JICS : Journal Of International Community Service Journal of Aceh Aquatic Sciences Room of Civil Social Development MOLUCCAS AQUATICUS: Journal of Aquatic Management and Innovation
Bahtiar Hamar
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Transportation Other

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MILKFISH CULTIVATION SUPPORTS AUTOMATION OF FISH FEEDING IN THE PEN CULTURE SYSTEM Hamar, Bahtiar; Muhammad Hibrian Wiwi; Muhammad Fazrun
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 5 (2026): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20093249

Abstract

This study presents the design and implementation of an Internet of Things (IoT)-based automated fish feeding system for milkfish cultivation using the pen culture method. The research employed a prototype methodology, integrating microcontroller-based hardware with sensors, servo motors, and RTC modules to enable precise, scheduled, and remotely monitored feeding. Initial stages included problem identification, literature review, and system requirement analysis, followed by system design connecting multiple microcontroller devices for automatic data processing and feed distribution. The developed prototype was tested both indoors and outdoors, with monitoring via laptops and mobile devices through the Blynk application. Results demonstrate that the system efficiently automates feed distribution, reduces feed waste, minimizes manual labor, and facilitates real-time monitoring, thus enhancing operational efficiency and productivity in milkfish farming. The implementation of this IoT-based solution offers a cost-effective, sustainable, and practical approach to optimize aquaculture management, improve fish growth, and support data-driven decision-making for farmers. This study contributes to advancing smart aquaculture technologies in Indonesia.
Co-Authors Abdul Hamid Aliani Aliani Alzarliani, Waode Antasalam Ajo Arfandi Arfandi, Arfandi Azizu, Azelia Monica Bone, Abdul Hadi Cahyani, Wa Ode Siti Cahyani, Wa Ode Sitti Cahyani, Waode Sitti Cecep Nuryadin, Safrin Edy & Eca Farman Kabaena Failu, Ismail Findra, Muhammad Nur Ihsan, Fadhli Insani Junaidin Sirza, La Ode Muhammad Kasman Kasman L.M. Junaidin Sirza Lukman Adrian Saputra Maghfira Pathiha Muhammad Fazrun Muhammad Hibrian Wiwi Nabil Zurba Pramithasari, Febi Ayu Purnamasari, Wa Ode Dian Ridwan Hasan Riyadi Subur, Riyadi Salmatia Salmatia Salmatia Salmatia Sariafriani Amran Sirza, L. M. Junaidin Sirza, La Ode Muhammad Junaidin Sirza, LM Junaidin Sitania, Yusti Sofyan Sofyan Wa Ode Al Zarliani Wa Ode Dian Purnamasari Wa Ode Sitti Cahyani Wardana Wardana Yusti Sitania