Algoritme deteksi kedatangan tsunami otomatis untuk sistem observasi tinggi muka air laut

The automatic tsunami detection algorithm needs to put in the sea level observation system so it can give quick warning for society when tsunami happen. Therefore, we design an automatic tsunami detection algorithm that consists of three sub-algorithm, they are spike elimination, gap data filling, and tsunami detection. Spike elimination and gap data filling used to improve the sea level data which is often disturbed by spikes and gap data due to electronic factors. This algorithm tested using time-series tide gauge data that contain tsunami waveforms in Indonesia from 2007-2019. Results, about 54.52 % of 409 spikes have been eliminated while all of the gap data successfully filled. Furthermore, the tsunami detection uses DART (Deep-ocean Assessment and Reporting of Tsunamis) and TEDA (Tsunami Early Detection Algorithm) methods, able to detect 7 of 10 tsunami waveforms. However, there are 3 undetected tsunamis and 1 false detection. For detection time, this algorithm has an average delay of 7.7 minutes.