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Sea Wave Detection System using Web-Based Decision Tree Algorithm

Indonesia is a country that is prone to earthquakes. This phenomenon has existed since two tectonic plates crossed Indonesian territory. Also, Indonesia is flanked by two vast oceans, the Pacific Ocean and India. Therefore the tsunami posed a severe threat to the coastal areas of the Indonesian archipelago as well. Currently, Indonesia already has a sea wave early detection system. The system is called a buoy made by NOAA (National Oceanic and Atmospheric Administration). The device can detect wave heights and convey information when a tsunami occurs and works in real-time. Unfortunately, these tools cost a high price, and the maintenance is quite complicated, and the maintenance costs are relatively expensive. Based on these problems, we need a system that can handle the problem. The system is designed using the Decision Tree C4.5 Algorithm to provide predictions for tourists, fishers, and the surrounding community based on IoT parameters. The system test results show that the C4.5 algorithm has accuracy of around 98% to 1OO%.