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All Journal Teknika: Jurnal Sains dan Teknologi
Ramadhani, Ahmad
Department of Electrical Engineering, Faculty of Engineering, Universitas Sultan Ageng Tirtayasa
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Prototype system for turbidity and TDS measurement of refill drinking water using Arduino microcontroller Saraswati, Irma; Himawan, Ganda; Wiryadinata, Romi; Ramadhani, Ahmad; Haryanto, Heri; Franata, Nauval; Yudono, Muchtar Ali Setyo; Erlindriyani, Ratu Verlaili
Jurnal Teknika Vol 21, No 1 (2025): June 2025
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjst.v21i1.30486

Abstract

Access to clean drinking water is critical, yet monitoring its quality in refill depots, especially in resource-limited areas, remains a challenge due to costly equipment and limited laboratory access. This work develops an Arduino Uno microcontroller-based prototype of a refill drinking water quality monitoring system based on turbidity and Total Dissolved Solids (TDS) sensors. An LED indicator serves as a visual warning and an LCD module shows real-time measurement results in the system. Five water samples from different depots underwent tests against standard Turbidity Meter and TDS Meter measuring tools. The TDS sensor fit for water quality monitoring since it displayed good performance with a low error of 0.32%–4.02% and high linearity to dissolved substance levels. Whereas the turbidity sensor is more suited for water with moderate to high turbidity, it has limited accuracy, particularly in water with low turbidity (< 5 NTU), with an error of 17%–72%. Particularly in places with limited access to labs and the Internet, this system is expected to be a sensible and affordable solution for independent refill drinking water quality monitoring. Additional development is advised to add IoT integration for remote monitoring, data storage tools, and sensitivity enhancement of the turbidity sensor.
Co-Authors Erlindriyani, Ratu Verlaili Franata, Nauval Haryanto, Heri Himawan, Ganda Muchtar Ali Setyo Yudono Saraswati, Irma Wiryadinata, Romi