<![CDATA[Monitoring the water level of the Gung River in Kendalserut Village is still conducted manually using wooden poles, making the process less effective, requiring human involvement, and potentially producing inaccurate data. This condition makes it difficult for the community to obtain timely information, particularly when increasing discharge may cause flooding and damage agricultural land. This study aims to design and implement an Internet of Things (IoT)-based water level monitoring system using Simple Linear Regression to analyze the relationship between water level and river discharge. A quantitative approach was employed through observation, interviews, documentation, and data collection using an ultrasonic sensor. The system was developed with an ESP32 microcontroller with an ultrasonic sensor to measure water levels. Data were transmitted via the internet and processed using Simple Linear Regression, with water level as the independent variable and river discharge as the dependent variable. Monitoring results were delivered through WhatsApp notifications. The results show that the system can automatically monitor river water levels in real time and provide more accurate discharge information. The system is expected to support effective flood risk mitigation.]]>
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