<![CDATA[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]]>
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