An IoT-Enabled Hybrid Control Mechanism for Turbidity Mitigation in Intensive Catfish (Clarias gariepinus)

Authors

DOI:

https://doi.org/10.56862/irajtma.v5i1.397

Keywords:

Catfish, Internet of Things, Turbidity Sensor, Water Quality

Abstract

Intensification of catfish farming at high stocking density is often constrained by drastic water-quality degradation, including increased turbidity, which can trigger stress and mass mortality in commodities. This study aims to design and build an Internet of Things-based automatic catfish pond water turbidity control system to maintain water parameter stability according to quality standards in real-time. The research method applied is Research and Development, which includes microcontroller-based hardware design, optical turbidity sensor integration, and web-based monitoring interface development. The system uses an on-off control algorithm with a hysteresis technique to intelligently regulate the circulation pump's activation at a danger threshold of 50 Nephelometric Turbidity Units and a safe limit of 25 Nephelometric Turbidity Units. The main findings indicate that the system has a very fast dynamic response, with a sensor delay of less than 2 seconds. In maximum disturbance load testing, the device successfully restored water clarity in an average time of 165 seconds without actuator oscillation. This study concludes that integrating automatic control technology and remote monitoring effectively improves water quality management efficiency and mitigates the risk of harvest failure for farmers.

References

Djauhari, Ricky, Shinta Monalisa, Mohamad Rozik, Muhamad Yasin, Ivone Christiana, et Ahmad Farhan. 2025. « Pertumbuhan dan Kelangsungan Hidup Ikan Lele (Clarias sp.) dengan Padat Tebar Ekstrem ». Journal of Tropical Fisheries 20 (mars) : 9-16. https://doi.org/10.36873/jtf.v20i1.19345.

Effendi, Hefni. 2003. Telaah Kualitas Air bagi Pengelolaan Sumberdaya Lingkungan Perairan. Yogyakarta: Kanisius,166-168.

Eswanto, E., Siman, S., Hutauruk, D. M., Pasaribu, M. N. H., Putri, P. W., & Siagian, T. (2024). Air Bersih bagi Masyarakat Pinggir Sungai Bandar Jaksa Tanjung Balai. Jurnal ABDINUS : Jurnal Pengabdian Nusantara, 8(2), 471-481. https://doi.org/10.29407/ja.v8i2.22497

Maulana, Ilham, Muchamad Malik, et Agus Mukhtar. 2025. « Rancang Bangun Prototype Alat Pengukur Kualitas Air Sumur Berdasarkan Salinitas PH dan Kekeruhan Menggunakan Metode Fuzzy Logic ». Journal Crankshaft 8 (juin) : 80-91. https://doi.org/10.24176/cra.v8i2.15133.

Ujianti, Rizky Muliani Dwi, Mega Novita, Aan Burhanuddin, Iffah Muflihati, Lukman Anugrah Agung, Roies Nur Ingsan, Alfan Najihil Wafa, Cerly Nurlita Anggraeni, et Tsaqif Muzakki. 2024. « Analysis of water quality in watershed using heavy metal pollution index ». Depik 13 (2) : 201-11. https://doi.org/10.13170/depik.13.2.35680.

Friday, E. A. (2026). A GSM-Enabled Internet-of-Everything Model for Autonomous Real-Time Monitoring of Livestock Vital Parameters and Spatial Movement Patterns. 12(1), 1–19. https://doi.org/10.35629/3795-12010119

Hutajulu, O. Y., Suryanto, E. D., & Sinaga, D. H. (2019). Implementasi Sistem Kontrol On/Off Pompa Air Sistem Tandon Berbasis Arduino untuk Penghematan Konsumsi Listrik Pompa. Jurnal Teknik Informatika UNIKA Santo Thomas, 04(2), 232–239.

Hermansyah, H., & Silitonga, N. (2023). Development of an IoT-Based Water Flow Meter Prototype with a Monitoring System Using ESP 8266 on Pipes in the Water Treatment Plant Unit of PT Perkebunan Nusantara II PKS Sawit Hulu. IRA Jurnal Teknik Mesin Dan Aplikasinya (IRAJTMA), 2(3), 22–29. https://doi.org/10.56862/irajtma.v2i3.75

Mohamad, M. H. bin, Rahman, S. M. B. A., & Ahmad, A. A. (2024). Smart Water Quality Monitoring with the Implementation of IoT (Issue InvENT). Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-589-8_25

Olanubi, O. O., Akano, T. T., & Asaolu, O. S. (2024). Design and development of an IoT-based intelligent water quality management system for aquaculture.Journal of Electrical Systems and Information Technology, 11(1). https://doi.org/10.1186/s43067-024-00139-z

Rejeb, A., Rejeb, K., & Keogh, J. G. (2025). The nexus of IoT and aquaculture: A bibliometric analysis. Applied Food Research, 5(1), 100838. https://doi.org/10.1016/j.afres.2025.100838

Ritnawati, Poppy Indrayani, Siti Umi Kalsum, F. R., Erdawaty, Mursyid Hasnawi, Iswahyudi, A. M. I. Z., Faiz Isma, Eka Oktariyanto Nugroho, Hana Syakira, El Arsyiah Rimaf Pasaribu, Cut Azizah, Nur Azizah Affandy, Lely Masthura, Anna Emiliawati, F. F. S., & Agisaqma, L. O. (2021). Manajemen Bencana Banjir: Dari Mitigasi hingga Pemulihan (Vol. 32, Issue 3).

Ritonga, A. A. (2025). Rancang Bangun Sistem Monitoring Lingkungan Berbasis Internet of Things ( IoT ) Menggunakan Protokol MQTT dan Platform Cloud ThingSpeak. 1, 74–80.

Shete, R. P., Bongale, A. M., & Dharrao, D. (2024). IoT-enabled effective real-time water quality monitoring method for aquaculture. MethodsX, 13(August). https://doi.org/10.1016/j.mex.2024.102906

Suliyani, N., Suciyati, S. W., Pauzi, G. A., & Surtono, A. (2021). Rancang Bangun Alat Ukur Kekeruhan Air Menggunakan Fototransistor dan LED Inframerah Berbasis Arduino Uno. Journal of Energy, Material, and Instrumentation Technology, 2(2), 30–39. https://doi.org/10.23960/jemit.v2i2.53

Sunardi, Abdurrasyida, F., Yudha, F. A. K., Thoharudi, Budiyantoro, C., & Prayitno. (2024). IoT- Enabled Intelligent Pump Control in Aeration Systems : Design and Implementation. Proceeding International Conference of Comunity Service, 2(2), 2573–2583.

Tadeus, D. Y., Subari, A., & Manan, S. (2018). Realisasi Pengendali on-Off Histerisis Dengan Operational Amplifier (Op-Amp). Gema Teknologi, 19(4), 10. https://doi.org/10.14710/gt.v19i4.19150

Vu, C. T., Zahrani, A. A., Duan, L., & Wu, T. (2023). A Glass-Fiber-Optic Turbidity Sensor for Real- Time In Situ Water Quality Monitoring. Sensors, 23(16). https://doi.org/10.3390/s23167271

Wahyuni, E. R., Hartono, R. W. T., & Fadhlan, M. Y. (2020). Sistem Monitoring Kualitas Air Tambak Ikan Melalui Jaringan GSM dan SMS Gateway Menggunakan Smartphone Android. Prosiding The 11th Industrial Research Workshop and National Seminar, 26–27.

Water, M., & Aquaculture, T. (2024). Monitoring Water Turbidity Aquaculture. 7(2), 190–198. Wiranto, G., Rahajoeningroem, T., & Fernanda, A. F. (2020). Sistem Monitoring Kualitas Air Menggunakan Sensor Turbidity Metode Nephelometri Berbasis Raspberry PI 3 Monitoring Water Quality Using Turbidity Sensor Metode Nephelometric Base on Raspberry PI 3. Jurnal TELEKONTRAN, 8(1), 23–29.

Witczak, D., & Szymoniak, S. (2024). Review of Monitoring and Control Systems Based on Internet of Things. Applied Sciences (Switzerland), 14(19). https://doi.org/10.3390/app14198943

Published

2026-04-30

How to Cite

Eka Permana, A., Malik, M., & Jannah, W. . (2026). An IoT-Enabled Hybrid Control Mechanism for Turbidity Mitigation in Intensive Catfish (Clarias gariepinus). IRA Jurnal Teknik Mesin Dan Aplikasinya (IRAJTMA), 5(1), 28–36. https://doi.org/10.56862/irajtma.v5i1.397

Issue

Section

Scientific Article