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All Journal Research Journal of Life Science Journal of Environmental Engineering and Sustainable Technology Jurnal Biologi Tropis Jurnal Pengabdian Magister Pendidikan IPA Journal of Fish Health
Frentina Murti Sujadi
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Environmental Science Immunology & microbiology Mechanical Engineering Medicine & Pharmacology

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IoT-Based Precision Aquaculture: A Bibliometric Analysis of Research Trends from 2020 to 2026 Anjaini, Jefri; Fadhillah, Radhi; Hidayat, Rahmat; Laily, Farkhana; Priyono, Susilo Budi; Sujadi, Frentina Murti; Affandi, Rangga Idris
Jurnal Biologi Tropis Vol. 26 No. 3 (2026): in Progress
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i3.12602

Abstract

The adoption of the Internet of Things (IoT) has transformed aquaculture from manual monitoring into data-driven precision management. This study maps the intellectual structure, publication trends, key contributors, and emerging research directions in IoT-based precision aquaculture, spanning sensor-based monitoring to decision support systems. A bibliometric analysis was conducted on 303 Scopus-indexed documents retrieved using a TITLE-ABS-KEY query combining “Internet of Things” and related terms with “aquaculture.” Document screening followed the PRISMA 2020 protocol. Performance analysis and science mapping were performed using VOSviewer through citation-network and keyword co-occurrence analyses. Because data retrieval occurred during the partial publication year 2026, the compound annual growth rate (CAGR = 19.5%) was calculated only for the complete-year period 2020–2025, while 2026 publications were included in citation and mapping analyses. The dataset accumulated 4,791 citations (mean = 15.81 citations per document; h-index = 38). Sensors was the most productive journal, whereas Indonesia and India were the leading publishing countries. Keyword co-occurrence identified five major research themes: sensor-based water-parameter monitoring, environmental quality monitoring, IoT–machine learning integration, smart fish farming, and AI-based decision support. These findings indicate a shift from environmental monitoring toward intelligent, predictive, and decision-oriented aquaculture management.
Co-Authors Abdul Aziz Amin Adi Tiya Yanuar Adinda Kurnia Putri Agung Tri Nugroho Andi Kurniawan Andi Kurniawan Arif Yulianto Burhanudin Burhanudin Citra Satrya Utama Dewi Dandi Setio Wibowo Dimas Yoland Dewantio Ekwan Nofa Wiratno Fikriyya, Nabela Karimah, Fatiya Kholilah Nur Hidayah Kurniawan, Setyo Budi Kusuma, Baruna Laily, Farkhana Lilik Setiyaningsih Lilik Setiyaningsih Lutfi Ni'matus Salamah Mardika, Hanisya Putri Kania Nirwantono, Rudi Nur Alfi Ekowati Nurhabib, Asro Purnama Sukardi Raharja, Ferry Cahya Rahmat Hidayat Rangga Idris Affandi Rose Dewi Setyawan, Agung Cahyo Sri Marnani Susilo Budi Priyono, Susilo Budi Tohap Simangunsong Wibowo, Dandi Setio Yahya Yahya Yohanes Harvinda