IoT-Based Water Quality Monitoring System to Enhance Sustainability and Business Performance in Koi Fish Cultivation
DOI:
https://doi.org/10.52435/jaiit.v7i2.730Keywords:
Business Performance, Internet of Things, Koi Fish Cultivation, Smart Aquaculture, Sustainability, Water Quality MonitoringAbstract
Water quality is a critical factor that determines the survival and productivity of koi fish cultivation. Fluctuations in key parameters, such as pH, dissolved oxygen (DO), total dissolved solids (TDS), and turbidity, can induce stress and lead to mass fish mortality, resulting in substantial financial losses for farmers. This study proposes an IoT-based water quality monitoring system designed to enhance both environmental sustainability and business performance in koi aquaculture. The system integrates four sensors (pH, DO, TDS, and turbidity) connected to an ESP32 microcontroller, which transmits real-time data via Wi-Fi to cloud platforms (Firebase and Blynk). A dedicated dashboard provides continuous monitoring, historical trend visualization, and real-time alerts when parameter thresholds are exceeded. The prototype was validated in an operational koi pond and achieved an average accuracy of 96.5%. User testing involving 10 koi farmers showed an 89% satisfaction rate, demonstrating the system's practicality and usability. Economically, the solution reduced manual monitoring costs by 40%, water replacement volume by 25%, and increased fish survival rates by 12%. These results indicate that IoT implementation in aquaculture not only improves environmental control but also increases operational efficiency and overall profitability, contributing to sustainable, data-driven aquaculture practices.
References
S. Muslimin, Y. Wijanarko, and N. A. Z. Bibrosi, “Real-time Fishpond Water Temperature Monitoring with Internet of Things (IoT) Technology,” J. Teknol. Inf. dan Pendidik., vol. 17, no. 2, pp. 315–328, 2024, doi: 10.24036/jtip.v17i2.824.
W. Leadtree and W. C. Needs, "MITOR : Jurnal Teknik Elektro," pp. 39–46, 2025.
O. A. Nasir and S. Mumtazah, “IoT-Based Monitoring of Aquaculture System,” MATTER Int. J. Sci. Technol., vol. 6, no. 1, pp. 113–137, 2020, doi: 10.20319/mijst.2020.61.113137.
C. H. Chen, Y. C. Wu, J. X. Zhang, and Y. H. Chen, “IoT-Based Fish Farm Water Quality Monitoring System,” Sensors, vol. 22, no. 17, 2022, doi: 10.3390/s22176700.
P. Erawati, D. Prasti, and T. B. Kriswinarso, “Internet of Things ( IoT ) -Based Water Quality Monitoring System Design for Tilapia Fish Farming Ponds,” vol. 5, no. 2, pp. 860–869, 2025.
A. Fitriansyah, Alfirman, R. A. Nugroho, S. Meitarice, and Sukamto, “Water Quality Monitoring and Control System for Fish Farmers Based on Internet of Things,” Ing. des Syst. d’Information, vol. 29, no. 3, pp. 1107–1113, 2024, doi: 10.18280/isi.290328.
K. Kairbekov, D. Sarsenov, and Z. Kairbekova, “Design and Implementation of a Low-Cost Water Quality Monitoring System for Aquaculture in Indonesia,” Int. Conf. Eng. Sci., no. 1, 2024, [Online]. Available: https://prosiding.aritekin.or.id/index.php/ICONFES
I. Ketut, A. Enriko, R. Pratiwi, W. P. Tjiptoyuda, and F. N. Gustiyana, “Implementation Internet Of Things For Monitoring Water Quality System of Koi Fish Ponds,” J. Appl. Inf. Commun. Technol., vol. 9, no. 1, pp. 280–286, 2024.
P. S. T, M. Archana, and A. Bhuvana, “Modernizing Aquaculture by Improving Water Factors using IoT,” vol. 10, no. 12, pp. 32–34, 2022.
A. F. Choiri, “IoT-Based Water Quality Monitoring System for Fish Ponds Using Fuzzy Inference Method,” J. Teknol. Inf. Dan Terap. (J-TIT, vol. 11, no. 2, pp. 2580–2291, 2024, [Online]. Available: https://doi.org/10/25047/jtit.v11i2.5794
A. H. Ahmad, N. I. M.Yanis, M. N. Nur Irawan, R. Munadi, and N. Fitriyanti, “Water Quality Monitoring and Control System in Koi Fish Cultivation Based on Internet-of-Things (IoT),” J. Rekayasa Elektr., vol. 21, no. 1, pp. 19–26, 2025, doi: 10.17529/jre.v21i1.40760.
D. Rosandi, J. Junaidi, D. K. Apriyanto, and A. Surtono, “Design of Water Quality Monitoring System for Koi Fish Farming Using NodeMCU ESP32 and Blynk Application Based on Internet of Things,” J. List. Instrumentasi, dan Elektron. Terap., vol. 4, no. 1, 2023, doi: 10.22146/juliet.v4i1.83131.
R. N. Andiyansyah, O. Setyawati, and F. Hario Partiansyah, “IoT-Based Water Quality Monitoring System for Koi Fish Quarantine,” J. EECCIS (Electrics, Electron. Commun. Control. Informatics, Syst., vol. 18, no. 3, pp. 92–99, 2024, doi: 10.21776/jeeccis.v18i3.1751.
A. H. Abdullah, S. Sudin, F. S. Ahmad Saad, M. K. Ali Hassan, K. A. Abdul Khalid, and J. Zainol Abidin, “Water Quality Analysis for the Sustainability of Aquaculture Industry using IoT and Big Data,” ASEAN Artif. Intell. J., vol. 1, no. 1, pp. 34–45, 2025, doi: 10.37934/aaij.1.1.3445.
T. N. Son, L. T. Hoan, N. C. Cuong, P. Van Minh, and R. Van Hoa, “Remote Monitoring and Control of Poultry Farm based on IoT Technology,” SSRG Int. J. Electr. Electron. Eng., vol. 7, no. 10, pp. 12–15, 2020, doi: 10.14445/23488379/IJEEE-V7I10P102.
M. Alselek, J. M. Alcaraz-Calero, J. Segura-Garcia, and Q. Wang, “Water IoT Monitoring System for Aquaponics Health and Fishery Applications,” Sensors, vol. 22, no. 19, pp. 1–20, 2022, doi: 10.3390/s22197679.
M. G. Dayaday and C. S. Namoco, “An Innovative Real-Time Water Quality Monitoring System for Aquaculture Application,” ARPN J. Eng. Appl. Sci., vol. 16, no. 24, pp. 2737–2740, 2021.
K. Hayati, F. A. Pratikno, P. Gesan, P. Anwar, and H. Susantiningdyah, "G-Tech : Jurnal Teknologi Terapan Optimizing Water Quality in Carp Farming through an IoT-based Dissolved," vol. 9, no. 4, pp. 2132–2140, 2025.
R. Eso, H. T. Mokui, A. Arman, L. Safiuddin, and H. Husein, "Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming," ComTech Comput. Math. Eng. Appl., vol. 15, no. 1, pp. 53–63, 2024, doi: 10.21512/comtech.v15i1.10657.
F. Lekswina and D. Widjaja, “IoT-based Two Levels Feeding System for Koi Fish Pond,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1115, no. 1, p. 012051, 2021, doi: 10.1088/1757-899x/1115/1/012051.
J. Junaedi and H. Ki, “Smart Aquarium with IoT based as Monitoring in Fish Farming,” bit-Tech, vol. 4, no. 3, pp. 116–122, 2022, doi: 10.32877/bt.v4i3.441.
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