IoT-Based Water Quality Monitoring System to Support Smart Farming and Productivity of Farmer Groups in Gelebak Dalam Village

Rahmat Fadli Isnanto, Sutarno Sutarno, Andre Hardoni, Ferlian Seftianto, Sarmayanta Sembiring, Abdurrahman Abdurrahman, Ahmad Zarkasi

Abstract


Gelebak Dalam Village relies on the Komering River for daily needs, but faces challenges of declining water quality due to urbanization and anthropogenic activities. This community service activity aims to educate and train local farmer groups in monitoring water quality using Internet of Things (IoT) technology. The method used is offline training consisting of lectures, discussions, and hands-on practice with components such as ESP32 microcontroller, pH and TDS sensors, Arduino IDE programming, and Web Service for data visualization. Results show that the IoT-based water quality monitoring system was successfully implemented and functioned well. Evaluation through pre-test and post-test proved a 37% increase in participants' understanding, from 26% to 63% in answering questions correctly. Participant enthusiasm during discussions and practice was high. Concluded that this activity successfully improved farmers' knowledge and skills regarding IoT and served as a trigger for innovation, especially in agriculture. For sustainability, follow-up activities are recommended.

Keywords


IoT; water quality; pH sensor; TDS sensor; ESP32; community education

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References


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DOI: https://doi.org/10.26760/rekaelkomika.v7i2.185-195

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