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All Journal Tanah Goyang: Jurnal Geosains Tanah Goyang : Journal of Geoscience
Kaharudin, Husnaniah
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Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Physics

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Identifikasi Air Tanah Menggunakan Electrical Resistivity Tomography di Lingkungan Sekolah Rakyat Menengan Atas 40 Ambon Latuconsina, Usman Aria Ramadhan; Kaharudin, Husnaniah; Sukri, Muh. Riswan Anas
Tanah Goyang : Jurnal Geosains Vol 3 No 1 (2025): Tanah Goyang : Jurnal Geosains
Publisher : Program Studi Teknik Geofisika, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tanahgoyang.3.1.25-32

Abstract

Clean water availability is a vital requirement for supporting learning activities and maintaining health within educational environments. Sekolah Rakyat Ambon, located in Maluku, still experiences limited access to clean water due to complex local geological conditions and the absence of a well-identified groundwater system. This study aims to identify potential aquifer zones around Sekolah Rakyat Ambon using the 2D Electrical Resistivity Tomography (ERT) method as a basis for groundwater drilling site selection. The survey was conducted along a 156-meter line with a 4-meter electrode spacing using the Wenner-Schlumberger configuration. The inversion results reveal a low-resistivity zone (10–50 Ωm) at a depth of approximately 25–30 meters, interpreted as a saturated aquifer layer. Based on this interpretation, drilling was carried to a depth of 30 meters. Borehole observations confirmed the presence of water-bearing sandy layers consistent with the ERT results. Physical water quality testing yielded values of pH 8.20, EC 273 µS/cm, TDS 146 ppm, salinity 0.001%, and specific gravity 1 g/cm³, indicating that the water is suitable for clean water use. The discharge measurement resulted in a flow rate of approximately 25 liters per minute, sufficient to meet the school’s daily water needs.
Pembuatan Progam Inversi Gayaberat 2D Menggunakan Algoritma Levenberg-Marquadt Kaharudin, Husnaniah; Bahri, Samsul; Dahrin, Darharta
Tanah Goyang : Jurnal Geosains Vol 3 No 1 (2025): Tanah Goyang : Jurnal Geosains
Publisher : Program Studi Teknik Geofisika, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tanahgoyang.3.1.33-40

Abstract

This research implements 2D gravity data inversion using the Levenberg-Marquardt algorithm to analyze the sensitivity of modeling results to variations in initial models. Testing was conducted on two synthetic models, namely intrusion and fault, with density contrasts of 0.5 g/cm³ and 0.7 g/cm³ respectively. The inversion results demonstrate a critical dependence on the initial model. A homogeneous initial model produced distorted density estimates concentrated near the surface. Conversely, an initial model approximating the actual synthetic model yielded faster convergence and more accurate density distribution reconstruction. Comparative analysis revealed that the fault model achieved better fit, indicating the superior lateral resolution of the gravity method compared to its vertical resolution. These findings confirm that the accuracy of gravity data inversion heavily relies on geological constraints integrated through the initial model, where an informed approach produces more reliable subsurface models.
Identifikasi Air Tanah Menggunakan Electrical Resistivity Tomography di Lingkungan Sekolah Rakyat Menengan Atas 40 Ambon Latuconsina, Usman Aria Ramadhan; Kaharudin, Husnaniah; Sukri, Muh. Riswan Anas
Tanah Goyang : Jurnal Geosains Vol 3 No 1 (2025): Tanah Goyang : Jurnal Geosains
Publisher : Program Studi Teknik Geofisika, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tanahgoyang.3.1.25-32

Abstract

Clean water availability is a vital requirement for supporting learning activities and maintaining health within educational environments. Sekolah Rakyat Ambon, located in Maluku, still experiences limited access to clean water due to complex local geological conditions and the absence of a well-identified groundwater system. This study aims to identify potential aquifer zones around Sekolah Rakyat Ambon using the 2D Electrical Resistivity Tomography (ERT) method as a basis for groundwater drilling site selection. The survey was conducted along a 156-meter line with a 4-meter electrode spacing using the Wenner-Schlumberger configuration. The inversion results reveal a low-resistivity zone (10–50 Ωm) at a depth of approximately 25–30 meters, interpreted as a saturated aquifer layer. Based on this interpretation, drilling was carried to a depth of 30 meters. Borehole observations confirmed the presence of water-bearing sandy layers consistent with the ERT results. Physical water quality testing yielded values of pH 8.20, EC 273 µS/cm, TDS 146 ppm, salinity 0.001%, and specific gravity 1 g/cm³, indicating that the water is suitable for clean water use. The discharge measurement resulted in a flow rate of approximately 25 liters per minute, sufficient to meet the school’s daily water needs.
Pembuatan Progam Inversi Gayaberat 2D Menggunakan Algoritma Levenberg-Marquadt Kaharudin, Husnaniah; Bahri, Samsul; Dahrin, Darharta
Tanah Goyang : Jurnal Geosains Vol 3 No 1 (2025): Tanah Goyang : Jurnal Geosains
Publisher : Program Studi Teknik Geofisika, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tanahgoyang.3.1.33-40

Abstract

This research implements 2D gravity data inversion using the Levenberg-Marquardt algorithm to analyze the sensitivity of modeling results to variations in initial models. Testing was conducted on two synthetic models, namely intrusion and fault, with density contrasts of 0.5 g/cm³ and 0.7 g/cm³ respectively. The inversion results demonstrate a critical dependence on the initial model. A homogeneous initial model produced distorted density estimates concentrated near the surface. Conversely, an initial model approximating the actual synthetic model yielded faster convergence and more accurate density distribution reconstruction. Comparative analysis revealed that the fault model achieved better fit, indicating the superior lateral resolution of the gravity method compared to its vertical resolution. These findings confirm that the accuracy of gravity data inversion heavily relies on geological constraints integrated through the initial model, where an informed approach produces more reliable subsurface models.
Co-Authors Darharta Dahrin Latuconsina, Usman Aria Ramadhan Samsul Bahri Sukri, Muh. Riswan Anas