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Adi Suryadi
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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.
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Articles 608 Documents
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Back matter JGEET Vol 10 No 3 2024 Adi Suryadi
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 3 (2025): JGEET Vol 10 No 03 : September (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Characteristic of the Source Rock Of The Lahat and Talang Akar With Crude Oil In Sarolangun, Jambi sub-basin, Indonesia Alfayed, Muhammad Rus Dody; Siregar, Yusmansyah; Ramadani, Dinda Novia; Syaifudin, M.; Setiawan, Jatmika
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.17999

Abstract

The research location is situated in Sarolangun, Jambi Province, within the Jambi Sub-Basin. Oil has been produced in the Jambi Sub-Basin study area from Paleogene-Neogene aged source rocks. However, the success ratio of oil discovery in the Jambi Sub-Basin remains at 51%. This study aims to determine the geochemical aspects in characterizing the source rocks and oil. The data used for analysis include total organic carbon, rock pyrolysis, vitrinite reflectance, and biomarkers.Geochemical characterization of the Lahat Formation source rock reveals a kerogen type II-III, generating oil and gas, while the Talang Akar Formation has a kerogen type II, producing oil, and the upper part of the Talang Akar Formation also has a kerogen type II, generating oil. The Lahat Formation biomarker consists of higher plants and algae in anoxic conditions, with high C29 sterane and early mature Tm/Ts ratio. The lower part of the Talang Akar Formation biomarker has lacustrine-marine algae organic material in anoxic conditions, with high C27 sterane and early mature Tm/Ts ratio. The upper part of the Talang Akar Formation biomarker has higher plant and marine algae organic material, with high oleanane and early mature Tm/Ts ratio. The produced oil has biomarker characteristics indicating deposition in anoxic conditions, with a mix of algae-higher plant organic material, and early mature Tm/Ts ratio. Based on these results, the oil is positively correlated with the Talang Akar Formation, indicating that the organic material originates from a marine or lacustrine depositional environment.
Depositional Environment of the Late Miocene of Lemau Formation from Bengkulu Basin Based on Palynology in Seluma, Bengkulu, Indonesia Mentari, Sakilla Gia; Winantris; Jurnaliah, Lia; Anjani, Novita Iwa
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.19568

Abstract

Indonesia has several sedimentary basins, one of which is the Bengkulu Basin. One of the rock formations that make up this basin is the Lemau Formation, which is of Middle-Late Miocene age. Determining the depositional environment can use pollen and spore fossils stored in rocks. In the Lemau Formation, very little has been done to determine the depositional environment using pollen and spores. This research aims to reconstruct the sedimentary environment of the Lemau Formation rocks in the Late Miocene. Analysis was carried out on ten rock samples from Seluma, Bengkulu, Indonesia. Data collection used the stratigraphic measurements method, and laboratory analysis used the hydrogen peroxide method. There were five changes in the depositional environment, starting from the mangrove environment in sample BIL 21. The shallow environment became back mangrove in sample BIL 22, shallowing again became a peat swamp environment in samples BIL 23-BIL 26, the flooded environment became mangrove in sample BIL 27 and shallowing returned to a freshwater environment in samples BIL 28-BIL 30. Determination of the Late Miocene age used the presence of the Stenochlaenidites papuanus index fossil found in sample BIL 21. This environmental change was possible due to tectonic activities on the island of Sumatra in the Late Miocene and global eustatic changes.
Geology, Structural Control and Hydrothermal Alteration of Porphyry Copper-Gold Deposits, Prospect Berambang, Sekotong District, West Lombok, West Nusa Tenggara, Indonesia Faesal, Andi; Erintina, Melinda Dwi
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.21572

Abstract

Berambang, located in the Sekotong district of West Lombok, West Nusa Tenggara, Indonesia, is part of the eastern Sunda Arc, known for world-class gold mines. The area, situated within a province rich in copper-gold deposits such as the Batu Hijau and Hu'u deposits, is still in the early stages of promising exploration. This study aims to identify and understand the geological factors controlling alteration and mineralization in the Berambang deposit, based on geomorphological, stratigraphic, and structural analyses, supported by fieldwork and laboratory investigations, including petrographic analysis and X-ray diffraction (XRD). The stratigraphy of Berambang is divided into four rock units: dacitic volcanic rock, diatreme breccia, diorite intrusion, and alluvium. Geomorphologically, Berambang consists of three landform units: intrusive hills, volcanic hills, and alluvial plains. Hydrothermal alteration in the area is categorized into four types: argillic alteration (kaolinite-illite-smectite), advanced argillic alteration (alunite-andalusite), propylitic alteration (chlorite-calcite-quartz-epidote), and potassic alteration (biotite-silica-magnetite). Notably, potassic alteration, an indicator of porphyry deposits, has been identified, with hydrothermal fluid activity being controlled by two fault systems in Berambang, trending northeast-southwest and northwest-southeast.
The Influence of Pore Porosity on Overpressure Formation: A Case Study of Field X, Kutai Basin Dhiau Rahman Fikri; Abdul Haris; Rinaldo; Widi Atmoko
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.22308

Abstract

The Kutai Basin is a region with complex geological characteristics, which complicate formation pressure prediction and pose drilling risks such as overpressure. This study aims to analyze the relationship between porosity and overpressure using well log data, including sonic (DT), resistivity (ILD), neutron porosity (NPHI), and density (RHOB) logs. Overpressure is calculated based on the difference between actual pore pressure and normal hydrostatic pressure, supported by vertical stress estimation. The analysis results indicate that overpressure zones occur within specific intervals, particularly in the Pulau Balang Formation, which is dominated by impermeable shale lithology. These overpressure zones are characterized by high DT values, low ILD readings, and sustained high porosity despite increasing depth. This suggests that the overpressure is caused by undercompaction (Disequilibrium compaction), where rapid sedimentation rates hinder the expulsion of pore fluids. A Dutta crossplot confirms the dominance of smectite minerals that have not yet transformed into illite, reinforcing the indication that the rocks have not undergone significant chemical compaction. The correlation between preserved porosity and overpressure zones provides critical information for mitigating drilling risks and optimizing reservoir development.
Applied One-Dimensional Convolutional Neural Network Image Fusion Sentinel-1 SAR and Sentinel-2 for Classification and Mapping Dynamics of Coastal Wetlands in Segara Anakan, Cilacap Regency, Indonesia Muhammad Usman Zakaria; Wirastuti Widyatmanti; Retnadi Heru Jatmiko
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.22909

Abstract

Coastal wetlands have an important function, namely as an economic function and an ecological function, therefore the mapping and classification of wetlands is very important. However, remote sensing has limitations, namely high variability and spectral similarity between kleas. This makes the development of image fusion of SAR and optical images in classification, the combination of SAR and optical can provide better information. Over time, the CNN method of performing image fusion developed, which is a good method used to perform classification. In this study, Sentinel-2 fusion and VV polarization were used to identify the shrub classes that dominate Segara Anakan. The results of the application of CNN1D in the classification of wetlands in Segara Anakan resulted in an overall accuracy of 79.37% and a kappa of 0.76, so that CNN1D is very good at recognizing wetland classes but has limitations in recognizing Nypa which has spectral similarities with other classes. The benefit of using CNN1D that has been trained is that the model can be applied to a variety of other images. In its application, we used the image of Segara Anakan from 2019-2025 so as to gain knowledge, namely that Segara Anakan is controlled by the sedimentation process so that wetland classes increase dynamically. The massive sedimentation process in Segara Anakan was then overgrown by mangrove vegetation, besides that another trend is the change of vegetation from mangroves to nypa vegetation. This is because nypa vegetation is a vegetation that can adapt to medium to low salinity. Despite conducting a multitemporal study with a narrow gap of 6 years, the CNN1D that we have trained can classify wetlands in Segara Anakan well from 2019 to 2025. In addition, CNN1D with a light computing load can be an option if you need deep learning applications in other research.
Tsunami Evacuation Route Optimization Based on Megathrust Scenario Modeling in Pangandaran, West Java, Indonesia Wijayanto, Mirda Prisma; Achmad, Arifin; Muflihatun; Mahfud, Chiquita Laila; Apriyanti, Syafrida Dwi; Zakia, Zulfa Siti
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.23739

Abstract

The southern coastal area of West Java, particularly Pangandaran, faces a high risk of tsunami disasters triggered by megathrust earthquakes. However, current evacuation strategies in the region often lack integration between seismic hazard analysis, tsunami wave propagation modeling, and evacuation route optimization. To address this gap, this study aims to develop an integrated framework that combines seismicity assessment, tsunami simulation, and optimal evacuation planning for the Pangandaran coastal region. Seismic records from 2000 to 2024 indicate a total of 3090 earthquake events, predominantly offshore, with magnitudes ranging from low to moderate. The estimated b-value (1.19 ± 0.04) and a-value (8.057) reflect significant tectonic stress within the subduction zone between the Indo-Australian and Eurasian plates. Spatial analysis highlights offshore zones as areas of elevated seismic risk with the potential for large-magnitude events. Tsunami modeling was performed using the COMCOT model under a scenario of an 8.7 Mw megathrust earthquake. The simulation revealed maximum wave heights of up to 18.59 meters, reaching the coast within 40–45 minutes. Natural features such as coastal conservation zones were observed to reduce wave intensity, underscoring their role in hazard mitigation. Evacuation route modeling was carried out using Dijkstra’s algorithm, with two designated starting points located in the eastern and western sectors of Pangandaran Beach. The optimal routes identified to a designated Temporary Evacuation Site (TES) produced travel distances of 1.093 km and 0.533 km, requiring 26.23 and 12.79 minutes respectively, both within the available time window before tsunami impact. The findings offer actionable input for local disaster preparedness and evacuation planning. Furthermore, this study demonstrates the practical application of graph theory in disaster mitigation and provides a scalable framework for tsunami-prone regions worldwide.
Performance Comparison of Isolation Forest and COPOD Algorithms for Anomaly Detection in Electrical Submersible Pumps Asmara, Hygiano Paksi Widya; Maharsi, Dara Ayuda; Rachmanto, Rian
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.23849

Abstract

The Electrical Submersible Pump (ESP) is a crucial technology in enhancing oil production, yet its performance can be compromised by anomalies that lead to operational disruptions and financial losses. Early detection of these anomalies is vital for minimizing risks and optimizing ESP lifespan. This study compares the performance of two machine learning algorithms—Isolation Forest and Copula-Based Outlier Detection (COPOD)—in identifying anomalies in ESP operational data. The study uses both long-term historical data and short-term period data from a well in Field X, focusing on key operational parameters such as amperes, frequency, voltage, discharge pressure, motor temperature, vibration, and gross rate. The results indicate that Isolation Forest outperforms COPOD in detecting anomalies, particularly in the presence of missing data. Short-term data detection yields clearer correlations between anomalies in different features, highlighting its advantage over long-term historical data. The findings underscore the importance of utilizing short-term operational data and demonstrate how anomaly detection algorithms can enhance ESP monitoring for improved performance and cost-efficiency.
Identification Comparison of Landslide Potential Area with Analytical Hierarchy Process and Logistic Regression Methods in Cisarua District and Surroundings, Bogor Regency, West Java Pratama, Agun Romdha Sastra; Misbahudin
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24031

Abstract

Landslide is one of the geological disasters that often occur in Indonesia, especially in Cisarua District and its surroundings, Bogor Regency, West Java, so mitigation activities need to be carried out, one of which is by making a map of potential areas of landslide in the research area. This study aims to analyze the spatial distribution of potential landslides in Cisarua District, Bogor Regency, using the Analytical Hierarchy Process (AHP) and Logistic Regression (LR) methods, and to determine the more effective method for landslide prediction in the study area. The results showed that the AHP method obtained the distribution of potential areas of landslide in the low category with an area of 39,592 km2 with a percentage of 38.99%, the moderate category with an area of 39,690 km2 with a percentage of 39.09% and the high category with an area of 22,253 km2 with a percentage of 21.92%. In the LR method, the potential for landslide was obtained in the low category with an area of 39,158 km2 with a percentage of 38,15%, the moderate category with an area of 39,485 km2 with a percentage of 38.86%, and the high category with an area of 22,967 km2 with a percentage of 23% and the best method in determining the potential area of landslide was the LR method with an overall accuracy level of 86.41% compared to the Analytical Hierarchy Process (AHP) method with an overall accuracy of 78.64%.
Analysis of the Factor of Safety (FS) in Slope Stability Against Blasting Activities at Pit X, South Kalimantan Sahya, Muhammad Mufty Zaki; Misbahuddin
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24084

Abstract

Blasting is used to break hard rock in mining, but the vibrations can destabilize the slope through the resulting soil vibrations. The resulting blasting vibration must be in a safe condition, especially the stability of the mine slope around the blasting. This study aims to analyze the value of the slope factor of safety (FS), blasting soil vibration, and the influence of soil vibration on the value of the factor of safety (FS). The research method involves data collection followed by slope stability analysis utilizing the Bishop Simplified Method within Slide software and blasting vibration analysis using regression models to determine Maximum Horizontal Acceleration (Amax). The study results showed that the value of FS varied based on location and geological conditions. The A-A' section in the upper western part of the mine has the highest FS value of 2.36, while the C-C' cross-section in the lower eastern part of the mine has the lowest FS value of 1.16. Analysis of soil tremors in Amax values showed the highest values in August and the lowest at the end of October. The Amax value has an effect on the decrease in the FS value based on the blasting distance. The B-B' cross-section has the largest influence, the A-A' and C-C' cross-sections have a fairly small influence, and the D-D' cross-section has no influence.

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