Internet of Things (IoT) and Arduino IDE as a Smart Water Quality Control for Monitoring in Catfish Ponds
DOI:
https://doi.org/10.58524/ijhes.v3i1.415Keywords:
arduino integrated development environment (ide), automated water control, catfish pond manegement, internet of things, real-time water monitoring, water quality monitoringAbstract
This research aims to develop a monitoring and control system for catfish pond water quality based on the Internet of Things (IoT). This system uses an ESP32 microcontroller Arduino Integrated Development Environment (IDE) connected to a SEN0131 pH sensor, DS18B20 temperature sensor, and HC-SR04 ultrasonic sensor to monitor water quality parameters such as pH, temperature, and water level. Data obtained from these sensors is stored in a real-time database that can be accessed remotely via the Blynk application. This system is also equipped with a water pump and solenoid valve that automatically controls water filling and discharge based on detected water quality parameters. The test results show that the system has an average accuracy of 99.45% and high precision with an average relative standard deviation of 0.01% in detecting water quality parameters. System operation was carried out for 27 days. The system can run continuously or non-stop. data is input in real-time to blynk, so it can be monitored and controlled from anywhere.
References
Chafa, A. T., Chirinda, G. P., and Matope, S. (2022). Design of a real–time water quality monitoring and control system using Internet of Things (IoT). Cogent Engineering, 9(1). https://doi.org/10.1080/23311916.2022.2143054
Dewantoro, W., and Ulum, M. B. (2021). Rancang Bangun Sistem Monitoring Kualitas Air Pada Budidaya Ikan Hias Air Tawar Berbasis Iot (Internet of Things). Jurnal Komputasi, 9(2), 67–75.
Djamaludin, Kasoni, D., and Liesnaningsih. (2022). Prototype Robot Penyemprot Disinfektan Dengan Metode Research And Development. JIKA (Jurnal Informatika), 6(2), 135. https://doi.org/10.31000/jika.v6i2.5914
Hong, W. J., Shamsuddin, N., Abas, E., Apong, R. A., Masri, Z., Suhaimi, H., Gödeke, S. H., and Noh, M. N. A. (2021). Water quality monitoring with arduino based sensors. Environments - MDPI, 8(1), 1–15. https://doi.org/10.3390/environments8010006
Ighalo, J. O., Adeniyi, A. G., and Marques, G. (2021). Internet of things for water quality monitoring and assessment: A comprehensive review. Studies in Computational Intelligence, 912(September), 245–259. https://doi.org/10.1007/978-3-030-51920-9_13
Jan, F., Min-Allah, N., and Düştegör, D. (2021). Iot based smart water quality monitoring: Recent techniques, trends and challenges for domestic applications. Water (Switzerland), 13(13), 1–37. https://doi.org/10.3390/w13131729
Lakshmikantha, V., Hiriyannagowda, A., Manjunath, A., Patted, A., Basavaiah, J., and Anthony, A. A. (2021). IoT based smart water quality monitoring system. Global Transitions Proceedings, 2(2), 181–186. https://doi.org/10.1016/j.gltp.2021.08.062
Mutri, M. A., Saputra, A. R. A., Alinursafa, I., Ahmed, A. N., Yafouz, A., and El-Shafie, A. (2024). Smart system for water quality monitoring utilizing long-range-based Internet of Things. Applied Water Science, 14(4). https://doi.org/10.1007/s13201-024-02128-z
Nizetic, S., Solic, P., Lopez-de-Ipina Gonzalez-de-Artaza, D., and Patrono, L. (2020). Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future. Journal of Cleaner Production, 274. https://doi.org/10.1016/j.jclepro.2020.122877
Nugroho, E. (2007). Kiat Agribisnis Lele. Penebar Swadaya.
Okoli, N. J., and Kabaso, B. (2024). Building a Smart Water City: IoT Smart Water Technologies, Applications, and Future Directions. Water (Switzerland), 16(4). https://doi.org/10.3390/w16040557
Pasika, S., and Gandla, S. T. (2020). Smart water quality monitoring system with cost-effective using IoT. Heliyon, 6(7), e04096. https://doi.org/10.1016/j.heliyon.2020.e04096
Pratama, I. P. Y. P., Wibawa, K. S., and Suarjaya, I. M. A. D. (2022). Perancangan PH Meter Dengan Sensor PH Air Berbasis Arduino. JITTER- Jurnal Ilmiah Teknologi Dan Komputer, 3(2), 1–9.
Sanjaya, D., and Badarina, I. (2021). Pembuatan Kolam Pembudidayaan Lele Untuk Memotivasi Masyarakat Guna Meningkatkan Perekonomian Yang Terhambat Akibat Pandemi Covid-19 Di RT 1 RW 3 Desa Bukit Tinggi. Journal Of Community Services, 2(2), 99–107. https://doi.org/https://doi.org/10.33369/tribute.2.2.99-107
Saparinto, C. (2013). Budi Daya Ikan di Kolam Terpal (Revisi). Penebar Swadaya.
Sugianti, E. P., and Hafiludin, H. (2022). Manajemen Kualitas Air Pada Pembenihan Ikan Lele Mutiara (Clarias gariepinus) di Balai Benih Ikan (BBI) Pamekasan. Juvenil:Jurnal Ilmiah Kelautan Dan Perikanan, 3(2), 32–36. https://doi.org/10.21107/juvenil.v3i2.15813
Sugiyono. (2010). Metode Penelitian Kuantitatif Kualitatif dan R&D. Alfabeta.
Zulkifli, C. Z., Garfan, S., Talal, M., Alamoodi, A. H., Alamleh, A., Ahmaro, I. Y. Y., Sulaiman, S., Ibrahim, A. B., Zaidan, B. B., Ismail, A. R., Albahri, O. S., Albahri, A. S., Soon, C. F., Harun, N. H., and Chiang, H. H. (2022). IoT-Based Water Monitoring Systems: A Systematic Review. Water (Switzerland), 14(22). https://doi.org/10.3390/w14223621
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