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Samsul Bahri
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Jl. Ir. M. Putuhena, Kampus Poka, Ambon
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Tanah Goyang : Journal of Geoscience
Published by Universitas Pattimura
ISSN : -     EISSN : 30263263     DOI : https://doi.org/10.30598/tanahgoyang.1.1.2023
Core Subject : Science, Engineering,
Earth & Planetary Sciences Engineering Physics
Tanah Goyang is published by the geophysical engineering program at Pattimura University, with a biannual periodicity in May and November. The journal covers topics related to geology, geoinformation, geocomputation, geophysics, and geosciences.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Geofisika
Articles 5 Documents
 1 
Search results for , issue "Vol 3 No 1 (2025): Tanah Goyang : Jurnal Geosains" : 5 Documents clear
Analisis Kualitas Airtanah Berdasarkan Sifat Fisik dan Kimia di Kemusu, Boyolali, Provinsi Jawa Tengah Joris, Kezia; Kusumayudha, Sari Bahagiarti; Harjanto, Agus; Helmi, Hurien
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.3.1.9-17

Abstract

Sumur gali di daerah Kemusu dan sekitarnya di Kabupaten Boyolali diperuntukan untuk kebutuhan air minum sehingga sangat diperlukan analisis kualitas airtanah. Fisik dan kimia airtanah sangat dipengaruhi oleh batuan dan bagaimana kondisi lingkungan di permukaan. Berdasarkan hasil pengamatan di lapangan daerah penelitian disusun atas batupasir karbonatan, batulempung karbonatan, breksi andesit dan endapan alluvial. Pengukuran fisik dilakukan dengan pengukuran langsung pada sumur gali warga meliputi pengamatan warna, bau, rasa, kekeruhan, Daya Hantar Listrik, Total Dissolve Solid, Derajat Keasaman (pH), temperature dan secara kimia meliputi uji kadar besi (Fe), mangan (Mn), klorida (Cl-), sulfat (SO4), dan CaCO3. Berdasarkan pengukuran secara fisik nilai DHL dan TDS di sumur gali S9, S12, S3 airtanah tidak layak dikonsumsi dengan kadar DHL > 1000 dan menurut No.416/MENKES/PER/IX/1990. Secara kimia didasarkan pada kekeruhan air dan nilai TDS yang mewakili rendah dan tinggi sehingga dapat dijadikan perbandingan yaitu pada sumur S4, S5, dan S12. Hasil uji kimia menunjukkan bahwa sumur S4 dan S12 tidak layak dikonsumsi dikarenakan tingginya kadar sulfat diatas > 250mg/l. Kandungan CaCO3 yang tinggi namun masih tergolong aman dikarenakan litologi penysusun yang mengandung karbonat mempunyai kontak dengan airtanah.
Penerapan Teknologi Penginderaan Jauh untuk Kajian Indeks Kerapatan Vegetasi (NDVI) Tahun 2020 di Kecamatan Sirimau Limehuwey, Resti; Kololu, Micky; Kotarumalos, Sitti Hafsa; Multi, Warni
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.3.1.1-8

Abstract

This study aims to examine the distribution of vegetation density in Sirimau District using the NDVI method calculated from Landsat 8 satellite imagery. Landsat 8 imagery is processed to obtain NDVI values ​​that describe the level of vegetation density and health in the study area. The results of the analysis show that most of the Sirimau District area is dominated by dense vegetation with NDVI values ​​between 0.63 and 0.80 covering around 57.8% of the total area. In addition, vegetation is quite dense with NDVI values ​​between 0.42 and 0.63 and vegetation is not dense with NDVI values ​​between 0.21 and 0.42 occupying around 20.4% and 14.7% of the area, respectively. While non-vegetation and clouds and air only occupy a small part of the area with percentages of 7.1% and 0.003% of the total area, respectively. This study proves that the use of remote sensing technology, especially Landsat 8 imagery, is effective in mapping and integrating vegetation conditions quickly and accurately. The results of this study are expected to support natural resource management and spatial planning in Sirimau District.
Studi Evaluasi Parameter Reservoir Berdasarkan Data Buildup pada Sumur X Pattipawaej, Sandro Clief; Usmany, Sean Dave
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.3.1.18-24

Abstract

Well testing adalah salah satu metode yang dapat dimanfaatkan untuk memperkirakan parameter reservoir. Terdapat dua data pada well testing yaitu data drawdown dan data buildup. Type curve matching adalah salah satu metode yang dikembangkan untuk menganalisis data drawdown, sedangkan metode horner dikususkan untuk menganalisis data buildup. Dengan melakukan penyesuaian pada data tekanan dan turunannya, data buildup dapat dianalisis menggunakan metode type curve matching. Metode type curve matching memberikan nilai permebailtas reservoir, skin, dan nilai wellbore store masing-masing sebesar 596.31 mD, -0.28, dan 0.008. Nilai permeabilitas dan skin berdasarkan metode horner didapat sebesar 550.51 mD dan -0.31. Hasil analisis ini menunjukan bahwa reservoir baik dikembangkan untuk produksi.
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.

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