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All Journal Journal of Geoscience, Engineering, Environment, and Technology Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Asrillah
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Humanities Earth & Planetary Sciences Education Engineering Environmental Science Industrial & Manufacturing Engineering Physics Social Sciences

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PEMBERDAYAAN MASYARAKAT PEDESAAN DENGAN ALAT GEOFISIKA: DETEKSI AIR TANAH DI DESA LAM APENG, ACEH Darisma, Dian; Salma Salsabila, Rifa; Tarmizi; Amsir; Asrillah; Idris, Syafrizal; Tri Anda, Sabrian; Sapta Wirandha, Freddy
Jurnal Masyarakat Berdikari dan Berkarya (Mardika) Vol 3 No 1 (2025): Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Publisher : Fakultas Teknik, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/mardika.v3i1.11565

Abstract

This community service program aims to map zones that have the potential to have aquifer layers as sources of clean water. The activity was carried out in Lam Apeng Village, Aceh Province. Clean water is a basic human need in life and in this village getting sufficient water sources or aquifers is still a challenge. By using the geophysical method, namely the geoelectric method, which is one of the geophysical methods widely used in Indonesia as an environmentally friendly and inexpensive method, we can identify underground layers that contain water based on the resistivity values ​​obtained from the measurements. Community involvement in data collection can also help with general mapping in the research area. The survey results show a potential aquifer zone at a depth of 6 to 18 meters. These findings can support future well drilling efforts. This activity shows the importance of combining science and local participation to solve everyday problems in rural areas.
Site Characterization Based on Shear-Wave Velocity Using Multichannel Analysis of Surface Waves (MASW) Method in Urban Areas of Aceh Besar, Indonesia Darisma, Dian; Salsabila, Rifa Salma; Asyqari, Amir; Naufal, Haris Hartsa; Amsir; Asrillah; Masrurah, Zakia; Tarmizi; Marlinawati, Intan; Manalu, Kasih D; Muhni, Akmal; Azmi, Nurul
Journal of Geoscience, Engineering, Environment, and Technology Vol. 11 No. 3 (2026): JGEET Vol 11 No 03 : September (2026)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2026.11.3.26386

Abstract

Seismic site characterization is needed for earthquake risk mitigation and also for geotechnical infrastructure design. Multichannel Analysis of Surface Waves (MASW) can be used for seismic site characterization. The method extracts shear-wave velocity (Vs) profiles from surface wave analysis that reveal geotechnical conditions and subsurface structures. This study aims to characterize the subsurface layers using the MASW method in Aceh Besar. Data acquisition was carried out along three measurement profiles, each 69 meters long and with a receiver spacing of 3 meters. Shear-wave velocities (Vs) of the subsurface soil and rock layers were estimated using dispersion curve analysis and 1D inversion. The surface wave spectral analysis produced a high-quality dispersion at the fundamental mode frequency of 20–30 Hz. The inversion process, validated by an excellent misfit curve, yields a seven-layer Vs model with RMS values mostly below 0.01. The 2D pseudo-section models based on 1D inversion results show a subsurface stratification consisting of a soft to medium overburden (Vs < 350 m/s) layer of 15 meters thick, followed by a transition zone of dense soil, and engineering bedrock (Vs > 750 m/s) found at a depth of 30 to 40 meters. In general, lateral variations were identified as undulating bedrock topography and local basin structures. Based on SNI 1726:2019, the site is classified as Medium Soil (SD) to Very Dense Soil (SC), with an estimated Vs value influenced by the thickness of the surface sediment. These results provide a valuable overview of subsurface conditions from site characterization and can serve as a basis for geotechnical planning in the study area.
Co-Authors Akmal Muhni Amsir Asyqari, Amir Darisma, Dian Idris, Syafrizal Manalu, Kasih D Marlinawati, Intan Masrurah, Zakia Naufal, Haris Hartsa Nurul Azmi, Nurul Sabrian Tri Anda Salma Salsabila, Rifa Salsabila, Rifa Salma Sapta Wirandha, Freddy Tarmizi