Article Per Year (5 Year)
p-Index From 2021 - 2026
1.235
P-Index
This Author published in this journals
All Journal Emitor: Jurnal Teknik Elektro Jurnal Fisika FLUX Jurnal Pengabdian Pada Masyarakat JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Jurnal Informatika: Jurnal Pengembangan IT International Journal of Computing Science and Applied Mathematics-IJCSAM
Dega Surono Wibowo
Politeknik Harapan Bersama
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Physics Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Fisika FLUX

 1 
Implementasi Wavelet pada Data Seismik Gunungapi Dairoh Dairoh; Dega Surono Wibowo
Jurnal Fisika FLUX Vol 17, No 2 (2020): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (10321.684 KB) | DOI: 10.20527/flux.v17i2.6945

Abstract

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.
Co-Authors Ardi Susanto Dairoh Dairoh Dairoh Dairoh, Dairoh Dyah Apriliani Eli Krisnawati Ginanjar Wiro Sasmito Hepatika Zidny Ilmadina M Nishom M Shidiq Erdi W M Yoka Fathoni M. Fikri Hidayatullah M. Nishom Muhammad Fikri Hidayattullah Riszki Wijayatun Pratiwi Slamet Wiyono Slamet Wiyono Taufiq Abidin Yustia Hapsari Yustia Hapsari