cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adi Suryadi
Contact Email
adisuryadi@eng.uir.ac.id
Phone
+62822 8389 6947
Journal Mail Official
jgeet@journal.uir.ac.id
Editorial Address
Jl. Kaharuddin Nasution No 113 Perhentian Marpoyan, Pekanbaru, Riau 28284
Location
Kota pekanbaru,
Riau
INDONESIA
Journal of Geoscience, Engineering, Environment, and Technology
Published by Universitas Islam Riau
ISSN : 2503216X     EISSN : 25415794     DOI : 10.25299
Core Subject : Science, Social, Engineering,
Earth & Planetary Sciences Engineering Environmental Science Physics
JGEET (Journal of Geoscience, Engineering, Environment and Technology) published the original research papers or reviews about the earth and planetary science, engineering, environment, and development of Technology related to geoscience. The objective of this journal is to disseminate the results of research and scientific studies which contribute to the understanding, development theories, and concepts of science and its application to the earth science or geoscience field. Terms of publishing the manuscript were never published or not being filed in other journals, manuscripts originating from local and International. JGEET (Journal of Geoscience, Engineering, Environment and Technology) managed by the Department of Geological Engineering, Faculty of Engineering, Universitas Islam Riau.
Arjuna Subject : -
Articles 551 Documents
 40   41   42   43   44 
Characteristics of Host Rocks Manganese of The Anabanua Village Barru District South Sulawesi Province, Indonesia Hasbi Bakri; Nurliah Jafar; Jamil Jumadra; Firman Nullah Yusuf; F., Firdaus
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 3 (2024): JGEET Vol 09 No 03 : September (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.3.12833

Abstract

One of the prospects for a wealth of geological resources that can be utilized for the benefit of mankind is manganese metal mineral resources. In Anabanua Village, especially at the research location, there is an indication of manganese mineralization that the type of rock carrying the mineralization is not yet known. The purpose of this study was to determine the chemical elements of metallic minerals, mineralogy, and types of mineralization-carrying rocks, as many as three samples in the form of chunks, which were analyzed using megascopic analysis methods identifying the texture and structure of carrier rocks, XRD (X-Ray Diffraction) analysis minerals, and XRF (X-Ray Fluorescence). The characteristics of manganese mineralization carrier rocks consist of metallic elements Mn (0.046%-20.455%), Fe (1.555%-3.673%), and nonmetallic elements SiO2 (11.403%-48.165%), K2O (0.398%-4.177%). Mineralogy of manganese mineralization carrier rocks are roeblingite (Pb2Ca6Mn2+(Si3O9)2(SO4)2(OH)2·4H2O), rhodonite (CaMn3Mn[Si5O15]), diopside (CaMgSi2O6), calcite (CaCO3), kieserite (Al, Ga)2(GeO4)(OH)2), zeolite (Mn2O.Al2O3.xSiO .yH2O), and palygorskite ((Mg, Al)2 Si4O 10(OH)·4H2O). Manganese mineralization host rocks are determined by referring to the SiO2 (%weight) and K2O(%weight) diagrams to produce basalt igneous rock types.
Modeling and Interpretation of Geothermal System Components Using the Gravity Method at the “X” Geothermal Ibrahim, Mochammad Malik; Utami, Pri; Raharjo, Imam Baru
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.13032

Abstract

Geothermal field "X" is one of the geothermal fields located in North Sulawesi Province managed by PT Pertamina Geothermal Energy. This research aims to determine the presence of geothermal system components in the subsurface using the gravity method. Gravity method data processing is processed with observational and theoretical corrections to obtain a complete Bouguer anomaly. The complete Bouguer anomaly is separated into regional and residual anomaly using the upward continuation process. The results of modeling and interpretation of residual (shallow) gravity prove the existence of 3 (three) rock layers and their density values, Post Tondano Andesite Unit layer (2,4 g/cm3), Tondano Rhyolite Unit layer (2,5 g/cm3) and Pre Tondano Andesite Unit layer (2,7 g/cm3). The results of modeling and interpretation of regional (deep) gravity evidence the existence of 3 (three) rock layers along with the rock density value, Tondano Rhyolite Unit layer (2,5 g/cm3), Pre Tondano Andesite Unit layer (2,7 g/cm3) and diorite intrusion rock layer (2,9 g/cm3). The geothermal system in the research area is composed of Post Tondano Andesite Unit as overburden rock, Tondano Rhyolite Unit as caprock, Pre Tondano Andesite Unit as reservoir rock and Diorite intrusion rock as heat source.
Drought Management in Batam using Combined NDVI-TCT Algorithm to Create a Classification Level Map Irawan, Sudra; Fitriania, Tita; Sari, Luthfiya Ratna; Natali, Suci Dayanti; Aji, Satriya Bayu; Sismanto
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 3 (2024): JGEET Vol 09 No 03 : September (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.3.13033

Abstract

Drought constitutes a significant natural disaster with profound implications for agricultural productivity, economic stability, and ecological balance. Batam is one of the cities experiencing a high level of drought. At the end of 2022, Batam is actually on the verge of drought. The purpose of this study is to find out information on the distribution of potential for drought in Batam and the dominant factors affecting the potential for drought occurred using NDVI and TCT algorithms. This research employed remote sensing and GIS techniques, using Landsat 8 images to acquire parameters from NDVI, TCT, and Rainfall data, which are then processed through scoring and overlaying. The final step was to validate the vegetation index parameter by taking the coordinates. The final result is a map of the potential for drought in Batam, consisting of 5 classes of potential for drought.  The area with a very low potential for drought was located mostly in Sagulung, with an area of 2.661,89 Ha. The areas with low potential for drought were mostly located in Nongsa, Batam Center, Batu Ampar, Bengkong, Lubuk Baja, and Batu Aji, with an area of 7.175,22 Ha. The areas with a very high potential for drought were mostly located in Galang, Bulang, and Belakang Padang, with an area of 19.744,76 Ha. The area with moderate potential for drought was mostly located in Sungai Beduk, with an area of 22.122,71 Ha. The areas with high potential for drought were mostly located in Galang and Bulang, with an area of 35.663,89 Ha. It is concluded from the results of this research that the collective classification of high and very high drought potential levels covers up to 64% of the entire research area.
Magma Petrogenesis Study Based on Morphology and Texture Of Zircon Minerals: Case Study At The Causative Intrusive In The HLE Porphyry Copper-Gold Prospect, Sumbawa Island, Indonesia Fadlin; Sulistyawan, Raden Isnu Hajar; Idrus, Arifudin; Asfaro, Raden Muhammad; Nhatinombe, Hernani Vitorino; Hamzah, Wildan Nur
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.13248

Abstract

The zircon mineral is one of the accessory minerals within igneous rocks for its ability to resist hydrothermal and metamorphic processes. By examining their morphology and texture, zircon minerals can provide valuable insights into magma's petrogenesis, including temperature and composition. Two methods used to reach the research objectives include Petrography and SEM-CL analysis of the zircon grain from the diorite porphyry of the HLE prospect. On the basis of Petrography observation, the grain size of zircon ranges from 50 to 300 µm in size, and most have a transparent to grey color with prismatic, non-prismatic euhedral-subhedral elliptical, and non-prismatic rounded in shape. The zircon crystal typologies from the diorite porphyry are classified into S10, P2, S12, S13, S16, and S17 types, indicating the wide range of the crystallization temperature of zircon, ranging from 700 to 800 °C. The zircon from the diorite porphyry of the HLE prospect shows the medium values of pyramids typology, which is {101} = {211}. It corresponds to a medium Al/Na + K ratio (A index) value, indicating zircon as a product from the calc-alkaline magmas series. The trend of the calc-alkaline/sub-alkaline in typology suggests crustal sources mixed with mantle material. Furthermore, based on SEM-CL analysis the zircon shows dominantly oscillatory zoning with thin bands, and some grains show weak zoning in the outer core, typical of magmatic zircon. Moreover, the presence of lamellae texture of magnetite-ilmenite mineral under the scanning electron microscopy (BSE image) can be interpreted as the magma related to the high oxidizing magma.
Provenance Analysis Based On Petrographic Samples On EXIA-1 Well, Banggai Basin, East Sulawesi, Indonesia Setyawan, Reddy; Aribowo, Yoga; Kurniasih, Anis; Fahrudin; Ali, Rinal Khaidar; Najib; Ferdy; Wijaya, Ennur Kusuma; Qadaryati, Nurakhmi; Khorniawan, Wahyu Budhi; Dalimunte, Hasnan Luthfi; Ringga, Anita Galih
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.13367

Abstract

The structure of Exia is composed of Miocene built-up carbonates formed by shear faults. The buildup carbonate feature in the Exia prospect can be seen from the high elevation surrounded by lows with an NNE-SSW and NE-SW trending. The MA-1, SE-1, MI-1 wells are several wells in the Tiaka and Senoro Fields which are proven to have large gas reserves. Tiaka Field is located to the west of the Exia Well, while Senoro Field is to the northeast. The study used primary data from the Exia-1 well in the form of cutting samples. The wet and dry cutting samples were further processed into thin section. This thin section is then carried out for petrographic, XRD, and SEM analysis. Tomori Formation starts from the deeper environment FZ1 upwards to the shallower FZ5 –FZ6 (reef) with open marine and restricted areas. The allochem that composes the limestone at The Matindok Formation consists of red algae fragments and benthic forams which indicate the facies zone of formation in FZ 4 (slope). In the upper Mantawa Formation, it is still quite clear the presence of large forams indicating a reef association environment (FZ5-FZ6), but the presence of a large number of planktonic forams indicates a deeper depositional environment / slope, so it is possible that large forams were transported from a shallower environment. The Kintom Formation have rock provenance ranging from continental blocks in the interior of the craton to a recycled orogeny section of recycled quartz zone.
Metamorphic Complex Deformation in North Bangka Island Based on Macrostructures and Microstructures Evidences Hendrawan, Rezki; Draniswari, Windi Anarta; Wahyuni, Fitri Indah; Sapiie, Benjamin; Basuki, Nurcahyo Indro
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.13379

Abstract

The northern Bangka Island is composed of Pemali metamorphic complex which is indicated by the collision between Indochina and Sibumasu blocks. These features are interesting to observe because the metamorphic rocks could be recorded in some geological structures at different times. The study began by conducting field observation on Pemali Metamorphic Complex as objects. Field observation aims to collect lithological data, structural data, and oriented rock samples. The results of field pitching were processed to determine macrostructures, microstructures, and mineral distribution. The data was analyzed based on kinematic, descriptive, and deformation mechanisms to determine the deformation patterns that occurred in the study area. Field and oriented thin section data show structures and occurred in different deformation conditions. The analysis based on macrostructures and microstructures showed that the northern part of Bangka Island experienced three different deformation phases. Deformation begins with the formation of folds that are associated with collisions between Sibumasu-Indochina, followed by a second deformation that forms a fold with different verging. Both deformations are formed in the ductile zone and the brittle-ductile transition zone. The third deformation occurs when rocks have been lifted to the surface by the presence of faults, joints, and veins. The sequence of the deformation model is similar to the deformation experienced in the Bentong-Raub suture zone formed in the shear zone.
An Application of HVSR Method on Microtremor Data for Analysis of Earthquake Potential in Candipuro District, Lumajang, Indonesia Yatini, Y.; Kustanto Putra, Abdurrohim; Paripurno, Eko Teguh
Journal of Geoscience, Engineering, Environment, and Technology Vol. 8 No. 4 (2023): JGEET Vol 08 No 04 : December (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2023.8.4.13460

Abstract

The Earthquake of 6.1 magnitude occurred on April 10, 2021, in Lumajang district. One affected area suffered building losses, road damage, and casualties in Candipuro District, Lumajang Regency, East Java. Then the research was conducted to determine the strength of the soil against the potential earthquake by micro zoning the area in Candipuro District. This research uses the microtremor method with HVSR (Horizontal to Vertical Spectral Ratio) analysis. Analysis of earthquake potential includes parameters of Ground Amplification (A0), Dominant Frequency (f0), Ground Vulnerability Index (Kg), and Ground Shear Strain (GSS). The acquisition was completed with 16 measurement points in Supiturang Village with 500 meters between points using the Portable Seismograph TDS - 303. The results obtained in Supiturang Village have the results of the amplification value factor which is classified as medium-high (2.7 - 8.7), low dominant frequency value (0.5 - 1.4 Hz), medium-high soil susceptibility index (10 - 90), VS30 value which includes medium - hard soil (187.81 - 548.38) m/s, and GSS value which shows the response of cracks and soil subsidence to shaking (2 x 10-5 - 2 x 10-4).
Quantifying Marine Oil Slick using the Hydrocarbon Spectra Slope Index (HYSS): A Case Study of the 2010 Deep-water Horizon Spill in the Gulf of Mexico Olagunju, Kamorudeen Tunde; Callen, Scott Allen; Olobaniyi, Samuel Bamidele; Oyedele, Kayode Festus
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 3 (2024): JGEET Vol 09 No 03 : September (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.3.13487

Abstract

Mapping the extent and quantifying oil slick in ocean spills is one of the major objectives for monitoring and clean-up programs. Hyperspectral sensors are among the few remote sensing tools with potential for quantifying hydrocarbon oil on water and on other background substrates. At present, methods used to process hyperspectral data for quantifying hydrocarbon oil relies on delineating shapes and wavelength position of key diagnostic features within shortwave infrared (SWIR), particularly at 1.73µm and 2.30µm, which are often affected by the spectral features from the background substrates. Rather than the shape, the absorption maxima of hydrocarbon diagnostic features has shown potential for quantifying oil slick abundance classes via the Hydrocarbon Spectral Slope index (HYSS). In this research, the discriminative power of HYSS index for quantifying ocean oil slick is demonstrated, using Advance Visible and Infrared Imaging Spectrometer (AVIRIS) data from the 2010 Deep-water Horizon (DHW) spill from the Macondo well-head in the Gulf of Mexico. The results suggest good discrimination of oil and water as well as quantification of the oil slick into different oil abundance classes, representing different oil-water ratio and/or thickness. The validation of HYSS results shows good agreement with visual records of the spill within the image scene. Five oil abundance classes were discernible from studied AVIRIS scenes. These results were obtained empirically, without site-specific reference spectra, suggestive of a potential index for rapid broad area search. Change detection statistics of oil coverage at three separate intersects (ITT 1, ITT 2, and ITT 3) with before and after image coverage show reduced oil coverage percentages of 70%, 11.5%, and 0% respectively. These percentage reductions are in agreement with visual display of oil coverage as affected by dispersion induced by ocean currents and chemical dispersant application within the respective time lags of these image data acquisition.
Sensitivity Analysis Based on Physical Properties to Permeability Coefficient of Cohesive Soil Using Artificial Neural Network Fatnanta, Ferry; Suprayogi, Imam; Nugroho, Soewignjo Agus; Satibi, Syawal; Saputra, Riola
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 1 (2024): JGEET Vol 09 No 01 : March (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.1.13536

Abstract

Permeability is the ability of a soil to allow liquids to pass through. Of course the soil has a physical characteristic that can be known by laboratory testing. This study aims to determine the physical properties that most affect the coefficient of cohesive soil permeability using the Artificial Neural Network (ANN) tool, the results obtained will later be matched with actual conditions according to the context of engineering geology. The research method begins with an influence or sensitivity analysis using ANN which will produce a correlation coefficient (R). Then, these results will be compared with the influence analysis based on the value of the coefficient of determination (R2). After that, accuracy and error tests will be carried out using the Mean Absolute Percentage Error (MAPE), the highest accuracy values is categorized as the most influential physical property of the 7 physical property parameters, namely liquid limit, plastic limit, plasticity index, %sand, %fines, %silt, and %clay. Based on the result of the analysis, %fines is the parameter that most influences permeability and is able to make very strong predictions with an R value using an ANN of 0.9941875, an R2 value of 0.6336, an accuracy of 99.6962%, and a MAPE of 0.3038%. These results are compared with the existing empirical equations with an accuracy of 96.4393% and MAPE of 3.5607%. It can be concluded that ANN is more effective and optimal in making predictions. In this case, in the context of engineering geology, the more %fines, the smaller the permeability coefficient of the soil.
Hydrogeochemistry and Isotope Characteristics of the Hot Springs in the Wapsalit Area, Buru Regency, Maluku Province, Indonesia Pinning, Fathira; Haryanto, Agus Didit; Hutabarat, Johanes
Journal of Geoscience, Engineering, Environment, and Technology Vol. 8 No. 4 (2023): JGEET Vol 08 No 04 : December (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2023.8.4.13788

Abstract

Wapsalit is one of the geothermal areas that is located in Buru Regency, Maluku Province. Wapsalit area has several geothermal manifestations like hot springs, altered rocks, silica sinter and many more. This research aims to determine the characteristics and origin of the fluid in the research area. This research takes 5 samples of hot springs named FATH-1, FATH-2, FATH-3, FATH-4 and FATH-5. Based on the results of chemical analysis, it shows that the 5 samples belong to the bicarbonate fluid type. FATH-1, FATH-3 and FATH-5 belong to the partial equilibrium zone, FATH-2 and FATH-4 belong to the immature water zone. Based on isotope 18O and D analysis, the 5 hot spring samples originated from meteoric water and the fluids interacting with the rocks before heading to the surface.

Page 42 of 56 | Total Record : 551

 40   41   42   43   44 

Filter by Year

2016 2025


Reset
Filter By Issues
All Issue Vol. 10 No. 02 (2025): JGEET Vol 10 No 02 : June (2025) Vol. 10 No. 3 (2025): JGEET Vol 10 No 03 : September (2025) Vol. 10 No. 1 (2025): JGEET Vol 10 No 01 : March (2025) Vol. 9 No. 04 (2024): JGEET Vol 09 No 04 : December (2024) Vol. 9 No. 3 (2024): JGEET Vol 09 No 03 : September (2024) Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024) Vol. 9 No. 1 (2024): JGEET Vol 09 No 01 : March (2024) Vol. 8 No. 4 (2023): JGEET Vol 08 No 04 : December (2023) Vol. 8 No. 3 (2023): JGEET Vol 08 No 03 : September (2023) Vol. 8 No. 2 (2023): JGEET Vol 08 No 02 : June (2023) Vol. 8 No. 1 (2023): JGEET Vol 08 No 01 : March (2023) Vol. 8 No. 02-2 (2023): Special Issue from The 1st International Conference on Upstream Energy Techn Vol. 7 No. 4 (2022): JGEET Vol 07 No 04 : December (2022) Vol. 7 No. 3 (2022): JGEET Vol 07 No 03 : September (2022) Vol. 7 No. 2 (2022): JGEET Vol 07 No 02 : June (2022) Vol. 7 No. 1 (2022): JGEET Vol 07 No 01 : March (2022) Vol. 6 No. 4 (2021): JGEET Vol 06 No 04 : December (2021) Vol. 6 No. 3 (2021): JGEET Vol 06 No 03 : September (2021) Vol. 6 No. 2 (2021): JGEET Vol 06 No 02 : June (2021) Vol. 6 No. 1 (2021): JGEET Vol 06 No 01 : March (2021) Vol. 5 No. 4 (2020): JGEET Vol 05 No 04: December 2020 Vol. 5 No. 3 (2020): JGEET Vol 05 No 03 : September (2020) Vol. 5 No. 2 (2020): JGEET Vol 05 No 02 : June (2020) Vol. 5 No. 1 (2020): JGEET Vol 05 No 01: March 2020 Vol. 4 No. 4 (2019): JGEET Vol 04 No 04: December 2019 Vol. 4 No. 3 (2019): JGEET Vol 04 No 03 : September (2019) Vol. 4 No. 2 (2019): JGEET Vol 04 No 02 : June (2019) Vol 4 No 1 (2019): JGEET Vol 04 No 01 : March (2019) Vol. 4 No. 1 (2019): JGEET Vol 04 No 01 : March (2019) Vol. 4 No. 2-2 (2019): Special Edition (Geology, Geomorphology and Tectonics of India) Vol. 3 No. 4 (2018): JGEET Vol 03 No 04 : December (2018) Vol 3 No 4 (2018): JGEET Vol 03 No 04 : December (2018) Vol 3 No 3 (2018): JGEET Vol 03 No 03 : September (2018) Vol. 3 No. 3 (2018): JGEET Vol 03 No 03 : September (2018) Vol. 3 No. 2 (2018): JGEET Vol 03 No 02 : June (2018) Vol 3 No 2 (2018): JGEET Vol 03 No 02 : June (2018) Vol 3 No 1 (2018): JGEET Vol 03 No 01 : March (2018) Vol. 3 No. 1 (2018): JGEET Vol 03 No 01 : March (2018) Vol. 2 No. 4 (2017): JGEET Vol 02 No 04 : December (2017) Vol 2 No 4 (2017): JGEET Vol 02 No 04 : December (2017) Vol 2 No 3 (2017): JGEET Vol 02 No 03 : September (2017) Vol. 2 No. 3 (2017): JGEET Vol 02 No 03 : September (2017) Vol. 2 No. 2 (2017): JGEET Vol 02 No 02 : June (2017) Vol 2 No 2 (2017): JGEET Vol 02 No 02 : June (2017) Vol 2 No 1 (2017): JGEET Vol 02 No 01 : March (2017) Vol. 2 No. 1 (2017): JGEET Vol 02 No 01 : March (2017) Vol 1 No 1 (2016): JGEET Vol 01 No 01 : December (2016) Vol. 1 No. 1 (2016): JGEET Vol 01 No 01 : December (2016) More Issue