Rancang Bangun Alat Pemantau Kualitas Air Sumur Berbasis Lot Bagi Masyarakat Pedesaan
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Abstract
Clean water is a basic human need, especially for rural communities that rely heavily on well water for daily consumption and activities. Unfortunately, the quality of well water often goes unmonitored, posing health risks. This study aims to design and develop a well water quality monitoring device based on Learning of Things (LoT) to help rural residents monitor key parameters such as pH, Total Dissolved Solids (TDS), turbidity, and temperature in real-time. The research method includes needs analysis of rural communities, system design using ESP32 microcontroller, integration of water quality sensors, and the development of an educational interface based on LoT. Testing was conducted in a village in Deli Serdang Regency, North Sumatra. The results show that the system accurately detects changes in water quality parameters with less than 5% deviation compared to laboratory measurements. Furthermore, the educational interface improved public understanding of safe water standards. This tool is considered effective for remote areas due to its energy efficiency, user-friendliness, and ability to be operated independently by the community. The study confirms that LoT-based implementation can successfully integrate technical and educational functions in one IoT system, offering significant contributions to public health and community empowerment
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