Publisher

UnijoyoUnijoyo

Journal Jurnal Teknik Elektro dan Komputer TRIACJurnal Teknik Elektro dan Komputer TRIAC Abstract

Clean water is essential for public health and quality of life. Yet, many rural areas in Indonesia still rely on well water that often has high turbidity, too many dissolved solids, and risks of biological contamination. To help solve these problems, this study created and tested a Smart Digital Measurement System using (IoT) technology to monitor and improve water quality. The system includes a digital monitoring unit with pH, TDS, and turbidity sensors, which send data to the Blynk IoT dashboard and a Telegram bot for notifications. It also uses a multi-stage filtration unit with sedimentation filters, activated carbon, and UV sterilizers. Tests on wells in Gesikan, Tuban, showed the system worked reliably, with an average data transmission delay of 1.72 seconds, sensor errors below 5%, and 99% uptime over seven days. Water quality improved: pH levels rose to nearly neutral (6.8 to 7.0), TDS dropped by more than half (from 520–560 ppm to 240–260 ppm), and turbidity fell by about 75% (from 30–35 NTU to 6–8 NTU). These results show that the system offers an affordable way to help rural communities get cleaner water and supports progress toward SDGs 3 (Good Health and Well-being) and 6 (Clean Water and Sanitation).

Conclusion

This study successfully developed and implemented an IoT-based Smart Digital Measurement System for monitoring rural well water quality.The system demonstrated reliable performance with minimal data transmission delay, high uptime, and accurate sensor readings.Field tests confirmed significant improvements in water quality parameters, meeting WHO and Ministry of Health standards, thus offering a sustainable solution for providing clean water in rural areas and supporting the achievement of Sustainable Development Goals.

Future Research

Further research should investigate the integration of machine learning algorithms to predict water quality fluctuations based on historical data, enabling proactive maintenance and resource allocation. Additionally, exploring the feasibility of a decentralized, community-managed network of these IoT systems, coupled with training programs for local technicians, could enhance long-term sustainability and scalability. Finally, a comparative study evaluating the cost-effectiveness and environmental impact of different filtration materials and energy sources for powering the system would provide valuable insights for optimizing its design and deployment in diverse rural contexts. These investigations, building upon the current research, will contribute to a more comprehensive and resilient approach to ensuring access to clean water in underserved communities, requiring approximately 200 words to fully articulate these research directions.

References

1. Pengembangan Sistem Informasi Monitoring Kualitas Air Berbasis IoT untuk Pengelolaan Sanitasi Pondok... doi.org/10.55606/jitek.v5i2.3223Pengembangan Sistem Informasi Monitoring Kualitas Air Berbasis IoT untuk Pengelolaan Sanitasi Pondok doi 10 55606 jitek v5i2 3223
2. Full article: Design of a real–time water quality monitoring and control system using Internet... tandfonline.com/doi/full/10.1080/23311916.2022.2143054Full article Design of a realyAAAetime water quality monitoring and control system using Internet tandfonline doi full 10 1080 23311916 2022 2143054

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