Water pollution has become a major issue over the last few years. Constant water monitoring will be important in dealing with this issue since water is essential to human beings. The purpose of this research is to develop an effective IoT system for monitoring the quality of water in real time using physiochemical sensors. The system is implemented using Arduino as the microcontroller and turbidity, temperature, pH, conductivity, and total dissolved solid (TDS) sensors. The information from each sensor is sent over the internet. Experiments are performed on water quality data acquisition, online data transfer, monitoring, recording, and analysis. The results of the experiments show that the water sources in this study satisfy the parameters of good water quality. In addition, our team proposed a water quality model for running water based on diversion-method-related experiments.