Implementasi Wavelet pada Data Seismik Gunungapi

Noise decomposition on seismic volcanic data with wavelet using Daubechies wavelet decomposition on X and Y direction record data. Seismic volcanic data is in the form of broadband data, which broadband data has a wide frequency range so that it has a high enough noise level. So that when the noise...

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Main Authors: Dairoh Dairoh, Dega Surono Wibowo
Format: Article
Language:English
Published: Lambung Mangkurat University Press 2020-06-01
Series:Jurnal Fisika Flux
Subjects:
Online Access:https://ppjp.ulm.ac.id/journal/index.php/f/article/view/6945
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author Dairoh Dairoh
Dega Surono Wibowo
author_facet Dairoh Dairoh
Dega Surono Wibowo
author_sort Dairoh Dairoh
collection DOAJ
description Noise decomposition on seismic volcanic data with wavelet using Daubechies wavelet decomposition on X and Y direction record data. Seismic volcanic data is in the form of broadband data, which broadband data has a wide frequency range so that it has a high enough noise level. So that when the noise decomposition process is carried out in selecting the decomposition of the noise it must be appropriate so that the information contained in it does not decompose, this is because the volcanic broadband seismic record data contains volcanic earthquake event information that has an amplitude at the same value as the amplitude of the noise. Therefore noise decomposition is done by implementing wavelet, that is by using Daubechies wavelet decomposition. The results show that Daubechies wavelet decomposition can break down noise properly without losing the information contained in the signal. The decomposition of noise uses Daubechies db 5 level 5 wavelet decomposition in detail. The results of the wavelet using wavelet decomposition obtained vulcanic earthquake events whose signal results showed conformity with volcanic earthquakes with T. Minakmi and wasserman's forms.
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spelling doaj.art-29785c56dc074aab860bf3a783b1e94b2022-12-22T01:53:08ZengLambung Mangkurat University PressJurnal Fisika Flux1829-796X2541-17132020-06-0117210011110.20527/flux.v17i2.69456085Implementasi Wavelet pada Data Seismik GunungapiDairoh Dairoh0Dega Surono Wibowo1Politeknik Harapan BersamaPoliteknik Harapan BersamaNoise decomposition on seismic volcanic data with wavelet using Daubechies wavelet decomposition on X and Y direction record data. Seismic volcanic data is in the form of broadband data, which broadband data has a wide frequency range so that it has a high enough noise level. So that when the noise decomposition process is carried out in selecting the decomposition of the noise it must be appropriate so that the information contained in it does not decompose, this is because the volcanic broadband seismic record data contains volcanic earthquake event information that has an amplitude at the same value as the amplitude of the noise. Therefore noise decomposition is done by implementing wavelet, that is by using Daubechies wavelet decomposition. The results show that Daubechies wavelet decomposition can break down noise properly without losing the information contained in the signal. The decomposition of noise uses Daubechies db 5 level 5 wavelet decomposition in detail. The results of the wavelet using wavelet decomposition obtained vulcanic earthquake events whose signal results showed conformity with volcanic earthquakes with T. Minakmi and wasserman's forms.https://ppjp.ulm.ac.id/journal/index.php/f/article/view/6945broadband, wavelet, daubechies, volcano, wasserman
spellingShingle Dairoh Dairoh
Dega Surono Wibowo
Implementasi Wavelet pada Data Seismik Gunungapi
Jurnal Fisika Flux
broadband, wavelet, daubechies, volcano, wasserman
title Implementasi Wavelet pada Data Seismik Gunungapi
title_full Implementasi Wavelet pada Data Seismik Gunungapi
title_fullStr Implementasi Wavelet pada Data Seismik Gunungapi
title_full_unstemmed Implementasi Wavelet pada Data Seismik Gunungapi
title_short Implementasi Wavelet pada Data Seismik Gunungapi
title_sort implementasi wavelet pada data seismik gunungapi
topic broadband, wavelet, daubechies, volcano, wasserman
url https://ppjp.ulm.ac.id/journal/index.php/f/article/view/6945
work_keys_str_mv AT dairohdairoh implementasiwaveletpadadataseismikgunungapi
AT degasuronowibowo implementasiwaveletpadadataseismikgunungapi