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All Journal Mechatronics, Electrical Power, and Vehicular Technology
Mahardiono, Novan Agung
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Electrical & Electronics Engineering

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Water quality assessment monitoring system using fuzzy logic and the internet of things Fakhrurroja, Hanif; Nuryatno, Edi Triono; Munandar, Aris; Fahmi, Muhammad; Mahardiono, Novan Agung
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.198-207

Abstract

Water utilization has recently been at its highest level of demand. The water needed to be clean, healthy, and determined to be suitable for consumption. Therefore, it is necessary to have a system that can monitor the water quality so thatinformation related to wate r suitability can be received regularly and in real-time. This paper addresses the critical need for real-time water quality monitoring systems. This study proposed a novel approach integrating the Tsukamoto fuzzy algorithm into an internet of things (IoT)-based framework, forming part of the Fuzzy Inference System. Our system serves as a decision support tool, enabling continuous assessment of water quality. The method categorizes water quality into three levels: good, moderate, and unhealthy, providing timely and precise suitability information. The results demonstrate the effectiveness of the fuzzy logic method in delivering accurate output. Through remotely deployed IoT devices, water suitability and status can be monitored and analyzed in real-time over the internet. This research bridges the gap between traditional water quality assessment methods and the demands of our modern, technology-driven society, ensuring a reliable supply of safe and consumable water.
Co-Authors Aris Munandar Fakhrurroja, Hanif Nuryatno, Edi Triono Veithzal Rivai Zainal