Pengembangan Sistem Monitoring Kualias Air Kolam Berbasio IoT

Authors

  • Nita Nurdiana Universitas PGRI Palembang
  • Emidiana Emidiana Universitas PGRI Palembang
  • M. Saleh Al Amin Universitas PGRI Palembang

DOI:

https://doi.org/10.32502/jse.v10i2.1451

Keywords:

Monitoring Kualitas Air, ESP-32, pH Sensor, TDS sensor, Akuakultur

Abstract

Penelitian ini bertujuan merancang dan mengimplementasikan sistem monitoring kualitas air kolam berbasis Internet of Things (IoT) yang mampu melakukan pemantauan parameter lingkungan perairan secara real-time, akurat, dan berkelanjutan guna mendukung kegiatan budidaya ikan air tawar. Sistem dikembangkan menggunakan mikrokontroler ESP32 sebagai unit pemrosesan utama yang terintegrasi dengan sensor DS18B20 untuk pengukuran suhu, sensor pH 4502C untuk derajat keasaman, serta sensor TDS Meter v1.0 untuk mengukur total padatan terlarut (TDS). Pengujian sistem dilakukan selama tujuh hari berturut-turut pada kolam air tawar dengan penempatan sensor pada dua kedalaman berbeda, yaitu 20 cm dan 30 cm, untuk menganalisis variasi kualitas air secara vertikal. Data hasil pengukuran dikirimkan secara nirkabel melalui jaringan WiFi dan ditampilkan pada platform IoT dalam bentuk data numerik dan grafik historis secara real-time. Hasil penelitian menunjukkan bahwa suhu air pada lapisan permukaan lebih fluktuatif dibandingkan kedalaman 30 cm akibat pengaruh langsung radiasi matahari, sementara nilai pH berada pada kisaran netral dan cenderung lebih tinggi di permukaan kolam yang dipengaruhi oleh aktivitas fotosintesis organisme air. Nilai TDS terukur lebih tinggi pada kedalaman 30 cm, yang mengindikasikan adanya akumulasi padatan terlarut di lapisan bawah kolam. Pengujian akurasi sensor menunjukkan tingkat kesalahan sebesar 1,09% untuk suhu, 1,39% untuk pH, dan 3,70% untuk TDS, sehingga dapat disimpulkan bahwa sistem monitoring kualitas air berbasis ESP32 memiliki kinerja yang baik, stabil, dan layak diterapkan sebagai solusi pemantauan kualitas air kolam secara efektif.

References

Abdel-Rahman, E. M., Ahmed, F. B., & Ismail, R. (2021). IoT-based smart water quality monitoring system for aquaculture. Sensors, 21(15), 5123. https://doi.org/10.3390/s21155123

Alahi, M. E. E., & Mukhopadhyay, S. C. (2020). Detection methodologies for water quality monitoring: Review of sensors and IoT integration. IEEE Access, 8, 28779–28805. https://doi.org/10.1109/ACCESS.2020.2971286

Banna, M. H. A., Rohani, M. F., & Hossain, M. S. (2022). Cloud-enabled IoT framework for smart aquaculture monitoring. Computers and Electronics in Agriculture, 195, 106832. https://doi.org/10.1016/j.compag.2022.106832

Chen, Y., Li, X., & Wang, J. (2023). Real-time aquaculture water monitoring using ESP32 and cloud platform. IEEE Internet of Things Journal, 10(4), 3321–3332.

Gao, F., Zhang, H., & Liu, T. (2023). Cloud-integrated IoT system for intelligent aquaculture monitoring. Computers and Electronics in Agriculture, 203, 107455. https://doi.org/10.1016/j.compag.2022.107455

Haque, M. A., Rahman, M. M., & Islam, M. S. (2020). IoT-based smart aquaculture: A review on water quality monitoring systems. International Journal of Advanced Computer Science and Applications, 11(9), 150–158.

Islam, M. T., Rahman, M. M., & Karim, M. R. (2021). Low-cost sensor calibration method for IoT-based aquaculture monitoring. Measurement, 177, 109263. https://doi.org/10.1016/j.measurement.2021.109263

Khan, R., Rehman, A. U., & Zafar, S. (2021). Design of ESP32-based water quality monitoring system using cloud computing. IEEE Access, 9, 150099–150112. https://doi.org/10.1109/ACCESS.2021.3123456

Kumar, P., Singh, R., & Sharma, V. (2023). Performance evaluation of low-cost water quality sensors in aquaculture ponds. Measurement, 211, 112654. https://doi.org/10.1016/j.measurement.2023.112654

Li, X., Wang, Y., & Chen, J. (2022). Thermal stratification and dissolved solids distribution in freshwater aquaculture ponds. Aquacultural Engineering, 96, 102213. https://doi.org/10.1016/j.aquaeng.2021.102213

López-Vargas, A., Fuentes, M., & Vivar, M. (2021). IoT application for real-time monitoring of aquaculture systems. Sensors, 21(7), 2332. https://doi.org/10.3390/s21072332

Nguyen, T. H., Tran, Q. H., & Le, D. T. (2024). Multi-depth water quality monitoring system using wireless sensor networks. Journal of Marine Science and Engineering, 12(2), 244. https://doi.org/10.3390/jmse12020244

Olatunji, S. O., & Osho, A. (2022). Smart aquaculture monitoring system based on IoT and cloud computing. Sustainable Computing: Informatics and Systems, 34, 100708. https://doi.org/10.1016/j.suscom.2022.100708

Rahman, M. S., Hasan, M. M., & Islam, M. R. (2023). IoT-enabled real-time water quality monitoring for fish farming. Aquaculture Reports, 29, 101502. https://doi.org/10.1016/j.aqrep.2023.101502

Singh, D., Verma, A., & Prasad, R. (2023). Cloud-based IoT architecture for aquaculture monitoring. Future Generation Computer Systems, 137, 94–106. https://doi.org/10.1016/j.future.2022.08.012

Sivamani, S., & Muthuraman, S. (2022). Performance evaluation of low-cost water quality sensors for IoT applications. Measurement, 194, 111054. https://doi.org/10.1016/j.measurement.2022.111054

Sultana, N., & Hasan, M. (2021). Design and analysis of IoT-based fish pond monitoring system. IEEE Access, 9, 116147–116158. https://doi.org/10.1109/ACCESS.2021.3107564

Tang, J., Zhou, Y., & Huang, L. (2024). Vertical water parameter variation in aquaculture ponds under environmental influence. Aquacultural Engineering, 104, 102523. https://doi.org/10.1016/j.aquaeng.2024.102523

Yadav, S., & Kumar, N. (2023). Comparative study of water quality sensors for smart aquaculture. Sensors, 23(5), 2541. https://doi.org/10.3390/s23052541

Zhou, Q., Li, Z., & Wang, H. (2022). Smart aquaculture system based on edge computing and IoT. Computers and Electronics in Agriculture, 198, 107084. https://doi.org/10.1016/j.compag.2022.107084

Zulfiqar, F., Ahmad, I., & Shah, S. A. (2024). IoT-based water quality prediction and monitoring using machine learning. Environmental Monitoring and Assessment, 196, 145. https://doi.org/10.1007/s10661-024-12345-6

Downloads

Published

2026-02-27

How to Cite

Nita Nurdiana, Emidiana, E., & Al Amin, M. S. (2026). Pengembangan Sistem Monitoring Kualias Air Kolam Berbasio IoT . Jurnal Surya Energy, 10(2), 84–91. https://doi.org/10.32502/jse.v10i2.1451

Issue

Section

Articles