Water quality is one of the most important variables impacting human life. Generally, water quality measurements must be conducted on-site. If the region to be investigated is large, several test locations will be required. Repeated evaluations of water quality will be complicated and time-consuming. Therefore, a real-time water quality monitoring system is required to protect and monitor the water in order to take proactive measures for contamination. This project focuses on the aforementioned concerns and uses LoRa technology and the Node-RED application to develop environmental sensors that monitor and display water quality. It is the measurement and collection of data on water quality parameters, including temperature, electric conductivity, pH, air quality, and turbidity, according to the region requiring analysis. The microcontroller processes the sensor data before transmitting it via the wireless network to the database, where it is displayed on the Node-RED dashboard. The experimental results demonstrated that a range of 2.0 km can be used to transmit information in areas where LoRa technology encounters obstacles. Furthermore, the IoT-based monitoring system is able to monitor water quality in real time and display a Node-RED dashboard. It was determined that usability assessments were more efficient and convenient.