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

Jurnal Teknologi dan Sistem Komputer

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Title Algoritme deteksi kedatangan tsunami otomatis untuk sistem observasi tinggi muka air laut
Automatic tsunami arrival detection algorithm for sea level observation system
 
Creator Sriyanto, Sesar Prabu Dwi
Angmalisang, Ping Astony
Manu, Lusia
Schaduw, Joshian N. W.
Sondak, Calvyn F. A.
Mantiri, Rose O. S. E
Luasunaung, Alfret
Sumilat, Deiske A.
 
Subject algoritma deteksi tsunami; eliminasi spike; pengisian data kosong; tide gauge
tsunami detection algorithm; spike elimination; gap data filling; tide gauge
 
Description Agar dapat menginformasikan kedatangan tsunami dengan cepat kepada masyarakat, sistem observasi muka air laut perlu dilengkapi dengan algoritma deteksi tsunami otomatis. Oleh karena itu, dilakukan perancangan algortima deteksi tsunami yang terdiri dari 3 sub algoritma, yaitu eliminasi spike, pengisian data kosong, dan pendeteksi tsunami. Sub algoritma eliminasi spike dan pengisian data kosong digunakan untuk memperbaiki data observasi tinggi muka air laut yang sering terganggu oleh spike dan data kosong akibat faktor elektronik peralatan. Hasil perancangan diuji dengan data historis tide gauge saat terjadi tsunami antara tahun 2007-2019. Hasilnya, spike telah tereliminasi sebanyak 54,52 % dari 409 kemunculan, sedangkan data kosong berhasil diisi 100%. Selanjutnya, pendeteksian tsunami yang menggunakan metode DART dan TEDA mampu mendeteksi 7 dari 10 sinyal tsunami, namun masih ada 3 sinyal yang tidak terdeteksi dan 1 kesalahan deteksi. Selain itu, rata-rata waktu pendeteksian tsunami sekitar 7,7 menit setelah tiba di lokasi tide gauge.
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.
 
Publisher Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
 
Date 2021-07-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Identifier https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/14009
10.14710/jtsiskom.2021.14009
 
Source Jurnal Teknologi dan Sistem Komputer; 2021: Publication In-Press
Jurnal Teknologi dan Sistem Komputer; 2021: Publication In-Press
2338-0403
 
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Rights Copyright (c) 2021 Jurnal Teknologi dan Sistem Komputer
https://creativecommons.org/licenses/by-sa/4.0
 

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