Real-Time Water Quality Assessment via IoT: Monitoring pH, TDS, Temperature, and Turbidity
Wibowo Harry Sugiharto, Heru Susanto, Agung Budi Prasetijo
Abstract
Water quality monitoring is crucial for detecting changes in aquatic resources.Traditional methods, which typically involve in-situ sample retrieval followed by laboratory assessments, have been perceived as laborious and time-consuming.Herein, a state-of-theart, open-source framework is introduced, leveraging the potent synergy of the Internet of Things (IoT) and cloud computing for real-time water quality evaluations.Commercially accessible sensors were utilized for the instantaneous acquisition and interpretation of essential water quality parameters: pH, temperature, total dissolved solids (TDS), and turbidity.Accuracies of 98.54%, 96.85%, and 98.10% were obtained for temperature, pH, and TDS measurements, respectively, based on chosen accuracy metrics.The resilience of the proposed system was ascertained through a comprehensive study at the Troso River, Indonesia.During this evaluation, 4,833 data entries were amassed within a two-hour period.Outcomes from this research, elucidated in the subsequent sections, underscore the proficiency of the system in real-time water quality surveillance.This investigation augments the extant literature, underscoring the transformative role of cloud computing in facilitating instantaneous raw data collection for water quality assessment endeavors.