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La Hamimu
Jurusan Teknik Geofisika, Universitas Halu Oleo
Computer Science & IT Earth & Planetary Sciences Engineering Physics

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Analisis Percepatan Tanah Maksimum (PGA) dan Intensitas Skala Mercalli Menggunakan Data Mikrotremor dan Data Gempabumi di Wilayah Pesisir Kecamatan Moramo La Hamimu; Laode Ihksan Juarzan; Sugi Astira
Jurnal Rekayasa Geofisika Indonesia Vol. 7 No. 03 (2025): Edisi Desember 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.v7i03.28

Abstract

Research has been carried out in the Coastal area of Moramo District, South Konawe Regency. This study aims to determine the distribution of values for the dominant period , Peak ground acceleration (PGA), and seismic intensity based on the MMI scale using earthquake data that occurred in Southeast Sulawesi over a period of 30 years from 1993 to 2023 to be exact. Microtremor data were analyzed using the HVSR method with geopsy software to obtain the dominant frequency value , which then determines the dominant period value to obtain the peak ground acceleration (PGA) value so that the seismic intensity value can be determined. The dominant period values obtained ranged from 0,07 to 0,99 s while the surface PGA values obtained ranged from 35,32 to 149,29 gal and the basement PGA ranged from 30,23 to 44,92 gal. The seismic intensity values obtained ranged from 3,44 to 4,35 SR. The seismic intensity values is then classified in the form of a distribution map. The seismic intensity distribution map shows that the Coastal area of Moramo District, South Konawe Regency has a relatively low level of seismic intensity.
Identifikasi Potensi Gerakan Tanah Berdasarkan Analisis Ground Shear Strain (GSS) Data Mikrotremor dan Data Gempa Bumi di Daerah Perbukitan Kecamatan Moramo Fitri Silma Filardini; La Hamimu; Laode Ihksan Juarzan
Jurnal Rekayasa Geofisika Indonesia Vol. 7 No. 03 (2025): Edisi Desember 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.v7i03.23

Abstract

Abstract. Research has been conducted in the hilly area of Moramo District, South Konawe Regency. This study aims to determine the distribution of GSS values and determine the potential for ground motion that occurs based on GSS parameters. Microtremor data were analyzed using the HVSR method using Geopsy 3.4.2 software to determine the dominant frequency value and amplification value obtained from the H/V curve. Then the Seismic Vulnerability Index and PGA values were calculated. The Seismic Vulnerability Index value together with the PGA value is used to obtain the GSS value. Based on the research results, the distribution of GSS values in the hilly area of Moramo District ranges from to . The potential ground motion that may occur in the hilly area of Moramo District consists of 2 phenomena, specifically vibration and cracking or ground movement. Areas with vibration phenomena are located south of Lamboo village, north and east of Pudaria Jaya village, north of Watu Porambaa village, south and west of Sumber Sari village, and east of Ulusena village, while areas with cracking or ground movement phenomena are located south of Pudaria Jaya village, north of Watu Porambaa village, most of Wonua Jaya village and Sumber Sari village, south of Bisikori village, and most of west of Ulusena village. In the study area, soil dynamics are only elastic and elasto-plastic.
Analisis Kinerja Komputasi Full Vectorization dan Nested Loop pada Forward Modeling Gravitasi Last–Kubik La Hamimu; Al Rubaiyn
Jurnal Rekayasa Geofisika Indonesia Vol. 8 No. 01 (2026): Edisi April 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.v8i01.194

Abstract

Gravity forward modeling based on the Last–Kubik kernel requires intensive computation as the number of model blocks and observation points increases. This study analyzes the computational performance of Full Vectorization (FV) compared with Nested Loop (NL) without modifying the mathematical formulation of the Last–Kubik kernel. Experiments were conducted using synthetic models with 20 configurations ranging from 20,000 to 168,200 blocks. Algorithm performance was evaluated based on gravity-response consistency, computational time, and memory usage. Computational time was assessed using Total Execution Time (TET) and Mean Core Computational Time (MCCT) from 30 repetitions, while memory usage was evaluated using Kernel Workspace Memory Increase (KWMI). The results show that the FV and NL implementations produce numerically identical gravity responses, with a maximum absolute difference of 0 for the tested configurations. FV provides an MCCT speedup of approximately 6–7 times for small to medium-sized models, but the speedup decreases to 1.56 times at 168,200 blocks. In contrast, FV requires approximately 18 times more memory than NL. Regression analysis shows a very strong linear relationship between KWMI and the number of observation–block pairs. The results demonstrate that FV effectively accelerates gravity forward modeling but has scalability limitations due to its substantially higher memory requirements
Co-Authors Al Rubaiyn Fitri Silma Filardini Laode Ihksan Juarzan Sugi Astira