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Kresna Dinta Masmitra, Kresna Dinta
Program Studi Biologi FMIPA Universitas Lambung Mangkurat
Nursing Public Health

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Safeguarding Public Health Through Iot-Based Real-Time Water Monitoring At A River Intake Zone Zubaidah, Tien; Hamzani, Sulaiman; Masmitra, Kresna Dinta; Legowo, Agung Cahyo
Journal of Health Science and Prevention Vol. 9 No. 2 (2025): JHSP Vol 9 No 2 – 2025
Publisher : State Islamic University of Sunan Ampel

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/jhsp.v9i2.1565

Abstract

Access to safe and clean water is essential to human health, yet many river systems in Indonesia remain vulnerable to pollution from domestic, agricultural, and industrial sources. Inadequate water quality monitoring near raw water intakes may increase the risk of waterborne diseases, especially in tropical regions. This study introduces a low-cost, real-time Internet of Things (IoT)-based monitoring system designed to safeguard public health by improving early detection of potential contamination at a key water intake along the Martapura River.  The system utilized an Arduino Mega microcontroller integrated with temperature, pH, and turbidity sensors. Data were transmitted every five minutes via an ESP32 Wi-Fi module to the ThingSpeak cloud platform and visualized through a mobile dashboard accessible to water utility managers. Field testing was conducted upstream and downstream of the PTAM Intan Banjar intake in South Kalimantan. The system demonstrated strong agreement with laboratory reference measurements (Pearson's r > 0.99) and maintained 98.7% data transmission reliability. It operated continuously for over 23 hours per charge, offering a resilient and portable tool for real-time environmental surveillance. This affordable and user-friendly IoT system enables timely water quality monitoring and supports preventive public health actions in response to contamination risks.
Waterborne Disease Mitigation via IoT-EWS (AKUSTIK): A Study of Sensor Performance and Riparian Community Sanitation Zubaidah, Tien; Hamzani, Sulaiman; Masmitra, Kresna Dinta; Legowo, Agung Cahyo
Journal of Health Science and Prevention Vol. 10 No. 2 (2026): JHSP Vol 10 No 2 – 2026
Publisher : State Islamic University of Sunan Ampel

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/jhsp.v10i2.2062

Abstract

Pollution in the Martapura River directly threatens the health of riparian communities who rely on it for daily water. Traditional, slow monitoring methods fail to protect people from contaminated water in time. This study integrates the technical validation of AKUSTIK—an IoT-based smart water monitoring system deployed at the PT Air Minum Intan Banjar intake—with a cross-sectional health survey of 100 riverbank residents. Powered by Arduino Mega, ESP32, and ThingSpeak, AKUSTIK achieved high laboratory accuracy (errors: temperature 0.79%, pH 1.43%, turbidity 2.00%), though pH sensor stability remained sensitive to temperature. The human data revealed a heavy health burden: 17% suffered from diarrhea and 29% from dermatitis, with significant links between river proximity, water use, and illness. Crucially, 61% of residents expressed a profound need for this early warning technology, and 78% stood ready to actively participate in community-based monitoring. By bridging precise sensor metrics with the community's lived experiences and willingness to cooperate, this study shows that the true value of IoT innovation lies in its alignment with human vulnerability, offering a vital path toward preventing waterborne diseases
Co-Authors Legowo, Agung Cahyo Sulaiman Hamzani