Web-Based Flood Warning System Using Decision Tree Method

Flooding is a disaster that often occurs in Indonesia, especially in the Dayahkolout Region from the beginning until now, and causes very significant damage in life. Based on this problem, we need a system that is able to handle the problem. This system is designed using the Decision Tree C4.5 Algorithm method to predict potentially flooded areas based on parameters that will later be connected to the Internet of Things. The parameters used are water level, rainfall, and water discharge. Where each parameter will be connected to IoT and the results of the predictions will later be shown on the web application. From the results of testing that has been done, the C4.5 algorithm has the best performance on the 70%: 30% data partition which has an accuracy of 100%.