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Laode Ihksan Juarzan
Jurusan Teknik Geofisika, Universitas Halu Oleo
Computer Science & IT Earth & Planetary Sciences Engineering Physics

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Analisis Ketebalan Lapisan Sedimen Menggunakan Metode Horizontal to Vertical Spectral Ratio (HVSR) di Daerah Perbukitan Kecamatan Moramo La Hamimu Hamimu; Laode Ihksan Juarzan; Nurul Irana Pathiasari
Jurnal Rekayasa Geofisika Indonesia Vol. 6 No. 01 (2024): Edisi Arpil JRGI (Jurnal Rekayasa Geofisika Indonesia)
Publisher : Program Studi Teknik Geofisika FITK UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56099/jrgi.v6i01.29

Abstract

This research aims to determine value of the thickness of sediment layer (h) and the type of soil layer in the hilly area of Moramo District. This research uses microtremor data obtained from the TDL-303S Seismometer at 15 points with a distance between points of 400 m–800 m and shear wave velocity values up to a depth of 30 m (Vs30) obtained from USGS website data. Microtremor data were analyzed using HVSR method with Geopsy 3.4.2 software to obtain the dominant frequency value. The shear wave velocity value was extracted using ArcGis 10.8 software to determine Vs30 value at each measurement point. The f0 and VS30 values are used to determine the sediment layer thickness (h). The analysis results show that sediment layer thickness range between 5,03 m–47,43 m. The distribution map of sediment layer thickness values shows that research area with high sediment layer thickness values is located in a small part of Ulusena Village and Watu Porambaa Village. So, these two areas are at greater risk of experiencing damage due to earthquakes. The type of soil layers based on soil classification by Kanai (1983) are classified into 4 types of soil with the research area being dominated by Type I soil, where this type is tertiary or older rock consisting of hard gravelly sandstone. Type I is located in Wonua Jaya Village, the western and southern parts of Sumbersari Village, the eastern part of Pudaria Jaya Village, as well as small parts of Watu Porambaa and Ulusena Village.
Implementasi Matrix Laboratory Dalam Pengolahan Data Mikrotremor Menggunakan Metode Hvsr: Studi Kasus Di Daerah Pesisir Kecamatan Moramo Sitti Fauziah Faradilla; La Hamimu Hamimu; Laode Ihksan Juarzan
Jurnal Rekayasa Geofisika Indonesia Vol. 6 No. 02 (2024): Edisi Agustus JRGI (Jurnal Rekayasa Geofisika Indonesia)
Publisher : Program Studi Teknik Geofisika FITK UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56099/jrgi.v6i02.48

Abstract

Vibration characteristics in a region of the earth are strongly influenced by unique physical and geological parameters, resulting in diverse responses to natural and anthropogenic disturbances. This research not only contributes to the understanding of geology and vibration response, but also presents a methodology that can be widely applied in passive seismic research. The analysis method in this study uses MATLAB programming language for microtremor signal processing. The algorithm of this research is able to produce a model that reveals the frequency and statistical characteristics of the microtremor signal, the output is quite similar to the open-source software GEOPSY in HVSR processing. There are 15 research data with type .msd as a representation of 15 measurement points scattered in Moramo sub-district. The statistics obtained show that the dominant ground frequency (F0), amplification factor (A0), and seismic susceptibility index (Kg) in the Coastal Land of Moramo Subdistrict range from 0.519792 - 14.692654 Hz, 2.250096 - 6.370357 times amplification, and 0.500194 - 50.516144 s²/cm, respectively. These results are quite similar to previous research by RIVAL (2023) who used GEOPSY software as his analysis tool. The statistical distribution in the form of dominant frequency (F0), amplification (A0) and seismic susceptibility index (Kg) were then interpolated and overlaid with the geodata of the study area using the Mapping Toolbox which is also in the MATLAB environment.
Co-Authors La Hamimu Hamimu Nurul Irana Pathiasari Sitti Fauziah Faradilla