WATER QUALITY MONITORING SYSTEM FOR AQUAPONIC TECHNOLOGY USING THE INTERNET OF THINGS (IoT)

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Abstract

The fishery sector has a vital role in driving Indonesia's economy. However, the supply of fish has recently begun to dwindle because of the high cost of fish and unpredictable weather changes. Because of that, this increases the demand for freshwater fish and raises the potential for freshwater aquaculture. Besides, finding suitable water, sources and farming land for fish is extremely difficult because of the limitations of the primary source. This study aims to develop an Internet of Things (IoT) that can monitor water quality parameters, including acid content, dissolved oxygen, the temperature of the water, as well as ammonia, and is integrated with Internet-based mobile applications. The results of the system design have been successfully implemented. The system structure has successfully incorporated a sensor that collects data from the system and sends it to the blynk cloud server, which can be accessed directly via the Internet. Furthermore, this research showed that water quality and circulation are well preserved. The sensor's accuracy of potential hydrogen (pH) acid water is an average error of 1.52%, temperature sensor error of 0.238%, dissolved oxygen sensor error of 0.23%, and ammonia sensor error of 1.723%, and the monitoring system is functioning normally.

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Pramono, T. B., Qothrunnada, N. I., Asadi, F., Cenggoro, T. W., & Pardamean, B. (2023). WATER QUALITY MONITORING SYSTEM FOR AQUAPONIC TECHNOLOGY USING THE INTERNET OF THINGS (IoT). Communications in Mathematical Biology and Neuroscience, 2023. https://doi.org/10.28919/cmbn/8221

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