MEGAPIENGGA, DELTA AVE (2016) IDENTIFIKASI KONDISI GEMPA BERDASARKAN DATA SEISMOGRAF. Bachelor thesis, UNIVERSITAS MUHAMMADIYAH PURWOKERTO.

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Abstract

Software identification graphics earthquake created using MATLAB. This software
is an application interface that is designed to enable the user to identify the type of
earthquake of an image. The application interface is equipped with a display signal
processing results performed during processing. In programming with MATLAB
used extraction feature that is used to obtain the characteristics of the image is the
Root Mean Square (RMS) and Average Power Spectrum (AVG), this application
works based datasets were made. From the test results that the application of this
interface displays the results as a dataset created. In testing the results of the
classification of the signal, the system works properly but not yet displayed perfectly
by the interface device.

Dosen Pembimbing: unspecified | unspecified
Item Type: Thesis (Bachelor)
Additional Information: Pembimbing: M. Taufiq Tamam, S.T., M.T., dan Dian Nova Kusuma Hardani, S.T., M.Eng.
Uncontrolled Keywords: Identification, Earthquake, Extraction characteristics, Root Mean Square, Average Power Spectrum
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Tekniik Dan Sains > Teknik Elektro S1
Depositing User: Iin Hayuningtyas
Date Deposited: 18 Dec 2017 01:38
Last Modified: 11 Nov 2024 02:42
URI: http://repository.ump.ac.id/id/eprint/6243

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