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

Automatic tsunami arrival detection algorithm for sea level observation system

1Manado Geophysics Station, Meteorology Climatology and Geophysics Agency. Jl.Harapan 42, Manado, Sulawesi Utara 95161, Indonesia

2Master Program of Aquatic Sciences, Universitas Sam Ratulangi. Jl. Kampus, Bahu, Manado, Sulawesi Utara 95115, Indonesia

3Faculty of Fisheries and Marine Science, Universitas Sam Ratulangi. Jl. Kampus, Bahu, Manado, Sulawesi Utara 95115, Indonesia

Received: 12 Dec 2020; Revised: 21 May 2021; Accepted: 17 Jun 2021; Published: 31 Oct 2021.
Open Access Copyright (c) 2021 The authors. Published by Department of Computer Engineering, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
The automatic tsunami detection algorithm needs to be put in the sea level observation system to give society a quick warning when a tsunami happens. This study designs an automatic tsunami detection algorithm consisting of three sub-algorithm: spike elimination, gap data filling, and tsunami detection. Spike elimination and gap data filling are used to improve the sea level data, which is often disturbed by spikes and gap data due to electronic factors. This algorithm was tested using time-series tide gauge data that contain tsunami waveforms in Indonesia from 2007 to 2019. About 54.52 % of 409 spikes have been eliminated while the gap data were successfully filled. Furthermore, tsunami detection, which uses DART (Deep-ocean Assessment and Reporting of Tsunamis) and TEDA (Tsunami Early Detection Algorithm) methods, can detect 7 of 10 tsunami waveforms. However, there are three undetected tsunamis and one false detection. This algorithm has an average delay of 7.7 minutes in detection time.
Keywords: tsunami detection algorithm; spike elimination; gap data filling; tide gauge
Funding: Stasiun Geofisika Manado, Badan Meteorologi Klimatologi dan Geofisika;Universitas Sam Ratulangi

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