Sistem Pemantauan dan Pengendalian Kekeruhan Berbasis Internet of Things Untuk Aplikasi Pada Proses Pengolahan Air Bersih
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Abstract
Water treatment faces challenges in determining the correct coagulant dosage due to the slow and manual jar test method. It cannot respond quickly to changing natural conditions that affect raw water quality. If turbidity increases and coagulant dosing is based on outdated data, water quality suffers. Conversely, reduced turbidity at the same coagulant dose results in wasted money. To address this challenge, this research develops an IoT-based system solution for monitoring and controlling the system. Real-time sensors continuously monitor raw water conditions and transmit data to a microcontroller. The microcontroller in turn controls the coagulant pump via a relay. This innovative system provides a solution for water treatment plants to increase efficiency and adapt to dynamic environmental factors, ultimately improving the quality and cost-effectiveness of water treatment processes.
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