Utilizing Internet of Things (IoT) Technology in Recirculating Aquaculture Systems for Enhancing Water Quality and Health of Catfish (Clarias sp.) at Pokdakan Bintang Rosela Jaya, Pringsewu

Authors

DOI:

https://doi.org/10.59653/jcsse.v3i02.1788

Keywords:

Catfish farming, Internet of Things (IoT), recirculating aquaculture system (RAS), water quality

Abstract

This community service program is motivated by the necessity to enhance the productivity and efficiency of catfish farming in the Pringsewu Regency of Lampung, particularly in the face of challenges posed by water quality variability and climate change. Conventional fish farming systems frequently encounter obstacles such as temperature instability, pH fluctuations, and elevated ammonia levels, which can lead to stress and disease in fish. Consequently, this program aims to implement Internet of Things (IoT) technology based on a Recirculating Aquaculture System (RAS) as an innovative solution for real-time monitoring of pond water quality. The methods employed include technical assistance and training for the community partner, the Bintang Rosela Jaya group, through the installation of an IoT system that monitors temperature, pH, ammonia, and total dissolved solid (TDS) parameters. Program evaluation is conducted using pre-tests and post-tests to assess the improvement in participants' knowledge and skills. Evaluation results indicate a significant increase in the average scores of participants' understanding from 60 (pre-test) to 73 (post-test). Furthermore, the application of IoT technology has proven to enhance farming efficiency by reducing disease risks and facilitating water quality management. In conclusion, this program has successfully bolstered the capacity of partners in the adoption of innovative technologies in aquaculture, thereby supporting the sustainability of catfish farming operations and enhancing competitiveness in the national fisheries market.

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References

Abdel-Tawwab, M., Monier, M. N., Abdelrhman, A. M., & Dawood, M. A. (2020). Effect of dietary multi-stimulants blend supplementation on performance, digestive enzymes, and antioxidant biomarkers of common carp, Cyprinus carpio L., and its resistance to ammonia toxicity. Aquaculture, 528, 735529. https://doi.org/10.1016/j.aquaculture.2020.735529

Ahmed, N., & Turchini, G. M. (2021). Recirculating aquaculture systems (RAS): Environmental solution and climate change adaptation. Journal of Cleaner production, 297, 126604. https://doi.org/10.1016/j.jclepro.2021.126604

BPS. Badan Pusat Statistik (BPS) Kabupaten Pringsewu dalam Angka 2019. (2019). https://pringsewukab.bps.go.id/indicator/101/226/1/jumlah-desa-kelurahan-menurut-kecamatan-di-kabupaten-pringsewu.html.

Engle, C. R., Hanson, T., & Kumar, G. (2022). Economic history of US catfish farming: Lessons for growth and development of aquaculture. Aquaculture Economics & Management, 26(1), 1-35. https://doi.org/10.1080/13657305.2021.1896606

Fregene, B. T., Bolorunduro, P., Yossa, R., Karisa, H. C., Olaniyi, A., & Ajose, I. (2024). Extension manual on production of quality catfish seed. Gates Open Res, 8(68), 68.

Gladju, J., Kamalam, B. S., & Kanagaraj, A. (2022). Applications of data mining and machine learning framework in aquaculture and fisheries: A review. Smart Agricultural Technology, 2, 100061. https://doi.org/10.1016/j.atech.2022.100061

Hemal, M. M., Rahman, A., Nurjahan, Islam, F., Ahmed, S., Kaiser, M. S., & Ahmed, M. R. (2024). An integrated smart pond water quality monitoring and fish farming recommendation aquabot system. Sensors, 24(11), 3682. https://doi.org/10.3390/s24113682

Islam, S. I., Ahammad, F., & Mohammed, H. (2024). Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges. Journal of the World Aquaculture Society, 55(2), e13051. https://doi.org/10.1111/jwas.13051

Lal, J., Vaishnav, A., Kumar, D., Jana, A., Jayaswal, R., Chakraborty, A., Shailendra, K., Sahil, D., & Pavankalyan, M. (2024). Emerging innovations in aquaculture: Navigating towards sustainable solutions. International Journal of Environment and Climate Change, 14(7), 83-96. https://doi.org/10.9734/ijecc/2024/v14i74254

Mandal, A., & Ghosh, A. R. (2024). Role of artificial intelligence (AI) in fish growth and health status monitoring: A review on sustainable aquaculture. Aquaculture International, 32(3), 2791-2820. https://doi.org/10.1007/s10499-023-01297-z

Nayoun, M. N. I., Hossain, S. A., Rezaul, K. M., Siddiquee, K. N. E. A., Islam, M. S., & Jannat, T. (2024). Internet of things-driven precision in fish farming: A deep dive into automated temperature, oxygen, and pH regulation. Computers, 13(10), 267. https://doi.org/10.3390/computers13100267

Puccinelli, M., Galati, D., Carmassi, G., Rossi, L., Pardossi, A., & Incrocci, L. (2023). Leaf production and quality of sea beet (Beta vulgaris subsp. maritima) grown with saline drainage water from recirculating hydroponic or aquaculture systems. Scientia Horticulturae, 322. https://doi.org/10.1016/j.scienta.2023.112416

Shitu, A., Chen, W., Tadda, M. A., Zhang, Y., Ye, Z., Liu, D., Zhu, S., & Zhao, J. (2023). Enhanced aquaculture wastewater treatment in a biofilm reactor filled with sponge/ferrous oxalate/biochar composite (Sponge-C2FeO4@NBC) biocarriers: Performance and mechanism. Chemosphere, 330. https://doi.org/10.1016/j.chemosphere.2023.138772

Standar Nasional Indonesia SNI 6484.2 2014 Ikan Lele Dumbo (Clarias sp.) Bagian 2: Benih.

Ubina, N. A., & Cheng, S. C. (2022). A review of unmanned system technologies with its application to aquaculture farm monitoring and management. Drones, 6(1), 12. https://doi.org/10.3390/drones6010012

Yen, K. W., & Liuhuang, L. C. (2021). A review of migrant labour rights protection in distant water fishing in Taiwan: From laissez-faire to regulation and challenges behind. Marine Policy, 134, 104805. https://doi.org/10.1016/j.marpol.2021.104805

Zainurin, S. N., Wan Ismail, W. Z., Mahamud, S. N. I., Ismail, I., Jamaludin, J., Ariffin, K. N. Z., & Wan Ahmad Kamil, W. M. (2022). Advancements in monitoring water quality based on various sensing methods: A systematic review. International Journal of Environmental Research and Public Health, 19(21), 14080. https://doi.org/10.3390/ijerph192114080

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Published

2025-07-15

How to Cite

Sarida, M., Mufita, H., Hidayat, M. A., Alfina, R., Sulistiono, W. E., Setyawan, A., & Azizah, A. (2025). Utilizing Internet of Things (IoT) Technology in Recirculating Aquaculture Systems for Enhancing Water Quality and Health of Catfish (Clarias sp.) at Pokdakan Bintang Rosela Jaya, Pringsewu. Journal of Community Service and Society Empowerment, 3(02), 229–237. https://doi.org/10.59653/jcsse.v3i02.1788

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