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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 551 Documents
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Back matter JGEET Vol 10 No 01 2025 (J. Geoscience Eng. Environ. Technol.), JGEET
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 1 (2025): JGEET Vol 10 No 01 : March (2025)
Publisher : UIR PRESS

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

Abstract

Optimization of Machine Learning Algorithms Through Outlier Data Separation for Predicting Concrete Compressive Strength Ananda, Faisal; Saputra, Hendra; Fahmi, Nurul; Prayitno, Eko; Shapie, Sinatu Sadiah; Bin Ikhwat, Mohamad Azwan; Nordin, Mohd Nur Azmi; Zain, Andicha; Binti Mohd. Nasir, Fadhillah
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 02 (2025): JGEET Vol 10 No 02 : June (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.02.21896

Abstract

This study investigates the comparative performance of ten machine learning models—Linear Regression, SVM, Neural Network, Decision Tree, Random Forest, Gradient Boosting, AdaBoost, XGBoost, LightGBM, and CatBoost—in predicting concrete compressive strength. The research emphasizes practical applications in construction, where accurate predictions can improve material design and structural reliability. Through detailed evaluation using MAE, RMSE, and R² metrics, CatBoost and Linear Regression emerged as top-performing models. A rigorous hyperparameter tuning process, employing grid search, significantly enhanced models like SVM and Neural Network, increasing their R² by over 80%. However, tuning occasionally led to reduced performance due to overfitting or unsuitable parameter selection. Outlier analysis using the Z-score method revealed nuanced effects across models: while SVM and Decision Tree benefited from outlier removal, models like Neural Network and CatBoost experienced performance degradation, indicating their reliance on diverse data patterns. These findings underscore the importance of tailored tuning and outlier handling strategies. Future work will incorporate advanced optimization techniques (e.g., Bayesian optimization) and robust cross-validation to further improve model generalization and stability.
Seismic Hazard Estimation for Sumatra and Kalimantan Region Using Event-Based Probabilistic Seismic Hazard Analysis (EB-PSHA) Khalqillah, Aulia; Umar, Muksin; V. H. Simanjuntak, Andrean; Jihad, Abdi; H. Banyunegoro, Vrieslend
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 | DOI: 10.25299/jgeet.2025.10.3.21936

Abstract

Indonesia is located in a tectonically active region influenced by the interactions of several tectonic plates. This tectonics setting give rise to numerous active faults and subduction zones, making Indonesia highly susceptible to earthquakes. To mitigate earthquake risk, seismic hazard assessments are essential and contribute directly to the development of earthquake-resistant building codes or premium assets estimation for assets insurance. This study aims to assess seismic hazard analysis in Sumatra and Kalimantan using the Event-Based Probabilistic Seismic Hazard Analysis (EB-PSHA) method for a 250-year return period (0.4% annual exceedance probability in one year) for Peak Ground Acceleration (PGA) and Spectral Acceleration (SA) at 0.3 s and 0.6 s. Three seismic source models, Active Shallow Crusts, Subduction Interfaces, and Background Sources, are used in this analysis. A combined earthquake catalog from several agencies is used to estimate the magnitude of completeness ( ), a-value, and b-value based on the mainshock earthquake only. This analysis utilize Ground Motion Prediction Equations (GMPEs) randomly sampled to estimate the potential intensities. These findings reveal significant regional variations in seismicity, with the southern Sumatra showing high seismicity rate and the northern part indicating potential stress accumulation. Particularly in Bengkulu Province, due to the relative high seismicity rate based on the seismicity statistical parameters of a-value and b-value. It also suggests the influence of multiple megathrusts and active faults. In contrast, Kalimantan shows lower hazard overall, though East Kalimantan records localized high intensities due to the Meratus and Mangkahilat faults. Although Kalimantan’s seismicity is low, historical events demonstrate that distant earthquakes can still cause substantial impacts. The model has been validated by using six historical events and it is in good agreement more than 75% of correlation. The results offer valuable input for seismic risk analysis on the potential building loss estimation through Event Loss Table (ELT).
Resonance and Damping Ratio Analysis of the Baiturrahman Mosque Tower Based on Earthquake Ground Shaking simanjuntak, Noviana Sihotang; Umar Muksin; Idris, Yunita; Andi A. Rusdin
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 02 (2025): JGEET Vol 10 No 02 : June (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.02.21982

Abstract

Aceh is a region of tectonic activity, characterized by high seismicity. This inherent seismic hazard endangers the stability of vertical structures, such as mosque towers. The objective of this study is to analyze the dynamic characteristics of the Main Tower of the Baiturrahman Grand Mosque by estimating its natural frequencies and damping ratios. These parameters are used to evaluate the structural vulnerability of the mosque. The study obtained data from multilevel microtremor measurements on each floor of the tower. These measurements were analyzed using two methods. The Horizontal to Vertical Spectral Ratio (HVSR) method identified the dominant frequency in the basement. The Random Decrement Method (RDM) determined the natural frequency and damping ratios at each level of the structure. The results indicate that the natural frequency of the tower ranges from 1.16 to 4.32 Hz, with a damping ratio of 0.91% to 22.97%, which is within the established range for reinforced concrete structures. The substandard value can cause the building to oscillate easily when earthquake shocks occur. The analysis identified the upper floors, specifically 3 and 4, to be the primary sites of resonance, with ratios reaching 11-12%. The significant negative correlation between height and natural frequency indicates that the upper part of the structure is more prone to low-frequency earthquakes. The implications of this study are significant in light of their potential to enhance the understanding of the structural resonance risks and provide a technical basis for planning mosque towers in earthquake-prone areas.
Application of DRASTIC Method for Groundwater Vulnerability Analysis to Contamination in Pemalang District, Pemalang Regency, Central Java Province, Indonesia Firginawan Surya Wanda; Doni Prakasa Eka Putra; Wahyu Wilopo
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 02 (2025): JGEET Vol 10 No 02 : June (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.02.22209

Abstract

Pemalang District, Pemalang Regency, Central Java Province, as the district's capital, has experienced rapid economic and population growth. This has resulted in increased exploitation and degradation of groundwater quality, with groundwater extraction increasing from 91,856 m³ to 133,708 m³. There was an average decrease in groundwater levels of 40-70 cm from 2020 to 2023, and an increase in nitrate and chloride levels in groundwater was recorded from 2021 to 2023. To maintain the availability of groundwater that is suitable for use, efforts are needed to prevent groundwater contamination in vulnerable areas. The approach applied to examine groundwater vulnerability to contamination is the DRASTIC method. The research location is a coastal area composed of quaternary deposits with lithology consisting of sand and gravel in the south and clay and silt in the north. It has a shallow groundwater depth and a groundwater flow pattern that flows from south to north. The results of the geospatial analysis revealed two zones of groundwater vulnerability to contamination, based on the DRASTIC Index value, consisting of moderate vulnerability   (>106-146) and high vulnerability (>146-186). There were 67.4% of high vulnerability zones in this research area, spread from the central part, which is Wanamulya Village, to the southern part, which is Surajaya Village.
Exploratory of Ecological Quality from Remote-Sensing Ecological Index and Drought Hazard in Pekalongan Regency, Indonesia Fariz, Trida Ridho; Naufal, Muhammad Ahganiya; Heriyanti, Andhina Putri; Eralita, Norma; Saputri, Luthfi Hanum
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 | DOI: 10.25299/jgeet.2025.10.3.22396

Abstract

Climate change has intensified environmental hazards, including floods, landslides, and droughts, with Pekalongan Regency, Indonesia, emerging as a vulnerable region facing these multifaceted challenges. While flood-related studies dominate existing study, drought impacts remain understudied, despite their growing prevalence. Current climate hazard assessments in Pekalongan's adaptation plans rely heavily on historical data, limiting their predictive accuracy. This study addresses these gaps by developing a Remote Sensing Ecological Index (RSEI) model to evaluate ecological quality and its association with drought hazards, aligning with climate-resilient development objectives. The study employs Landsat imagery to construct RSEI using four key indicators: NDVI (greenness), WET (wetness), NDBSI (dryness), and LST (heat). Drought hazard data were derived from 2023 disaster records provided by Pekalongan's Regional Disaster Management Agency (BPBD). Statistical analysis using chi-square tests examined the relationship between RSEI components and drought hazard classes.Results demonstrate that RSEI's first principal component (PC1) effectively captures spatial ecological patterns, with southern regions (notably Petungkriyono's tropical rainforest) exhibiting "good" to "excellent" conditions, while northern urbanized areas score lower ("fair" to "poor"). PC1 shows a statistically significant association with drought hazard, unlike PC2 or PC3, suggesting its utility as a drought vulnerability indicator. However, the chi-square approach only identifies categorical relationships without quantifying effect strength or direction, highlighting methodological limitations. This study contributes to climate adaptation science by validating RSEI's applicability for drought assessment in tropical coastal regions. Future study should incorporate ordinal regression or spatial modeling to enhance predictive capability. The findings support evidence-based policymaking for targeted mitigation in Pekalongan Regency and similar vulnerable regions, emphasizing the integration of ecological monitoring into climate adaptation frameworks.
Digital Transformation in Foreign Surveillance: A Systematic Literature Review (SLR) of the Role of Geospatial Intelligence Prima Setiawan; Hari Purwanto; Budi Prasetyono; Somantha Prakosa Jati
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 02 (2025): JGEET Vol 10 No 02 : June (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.02.22524

Abstract

Surveillance of foreigners is essential in maintaining Indonesia's national stability and security, given the increasing global migration mobility. Digital transformation and the application of geospatial intelligence (Geoint) are potential solutions to improve the detection and early response to threats brought by foreign nationals (WNA). This study aims to evaluate the effectiveness of geospatial intelligence (Geoint) in enhancing the surveillance of foreign nationals (WNA) within the context of Indonesia’s national security and stability. This study uses a Systematic Literature Review (SLR) based on the PRISMA 2020 guidelines, with literature searches on Scopus and Google Scholar until May 10, 2024. The selected studies focused on the use of Geoint in relation to immigration and national security surveillance, while studies that were irrelevant or not available in full text were excluded. The findings indicate that Geoint significantly enhances surveillance capabilities by enabling rapid, precise monitoring and early threat prediction. Notably, Geoint facilitates the analysis of movement patterns of foreign nationals and the identification of high-risk areas, thereby increasing operational efficiency and targeting accuracy. For instance, it supports proactive responses to espionage-related activities—defined as the illicit gathering of sensitive information—that pose a risk to national security. The study concludes that integrating Geoint into immigration surveillance systems represents a strategic advancement in Indonesia’s digital security infrastructure. For policymakers and security practitioners, this innovation underscores the need for adaptive, data-driven surveillance frameworks that can respond dynamically to evolving migration patterns and security threats. Future national security policies should consider institutionalizing Geoint as a core component of foreign surveillance strategy.
Analysis of Potential New Flood Basin in Ratu Agung Sub-district Using the HVSR Method Apriana, Yelda; Refrizon; Farid, Muchammad; Onawa, Jonah; Hardianza, Meno; Setyowati, Yuni; Verentina, Sendiya
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 3 (2025): JGEET Vol 10 No 03 : September (2025)
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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.3.22541

Abstract

Indonesia is a tropical country with high rainfall and diverse topography, making it prone to flooding. In Bengkulu City, the flood risk is particularly high in low-lying and flood basins, which are critical zones for flood risk mitigation. This study aims to analyze the characteristics of rock types and water infiltration potential that may  trigger new flood basins in Ratu Agung District, Bengkulu City. The microtremor method was applied to assess soil  properties based on the dominant frequency (f0), amplification factor (A0), and sediment layer thickness. The analysis showed (f0) values ranging from 1.13 to 8.55 Hz and (A0) values ranging from 0.74 to 4.59. HV-Inv analysis results indicate shear wave velocity Vs values between 53 and 894 m/s, with five sediment layers reaching a depth of 100 m. Higher Vs values generally represent denser, less porous rock, limiting infiltration and increasing surface runoff, which elevates flood potential. The findings of this study are expected to serve as a reference for flood risk mitigation, especially in minimizing infrastructure damage and social impacts in Bengkulu City.
Subsurface Interpretation for Groundwater Potential Mapping Using Electrical Resistivity Tomography (ERT) in Mon Ikeun Village, Aceh Besar, Indonesia Latifa, Adila; Sugiyanto, Didik; Syukri, Muhammad
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 | DOI: 10.25299/jgeet.2025.10.3.22580

Abstract

The Mon Ikeun Village area in Aceh Besar is experiencing a clean water crisis due to a prolonged drought, which has significantly impacted human needs and necessitates identifying alternative water sources. This study aims to determine groundwater potential in the area using the Electrical Resistivity Tomography method. Data acquisition was conducted along three survey lines, each 420 m long. The Wenner-Schlumberger configuration was employed, using 22 electrodes with a spacing of 20 m. Data processing was done using ResIPy software to generate 2D resistivity cross-sections representing the subsurface structure. The resistivity sections were interpreted by correlating them with regional geological data and secondary data from wells located near the study area. The results indicate that two different lithologies dominate the subsurface structure of the study area. The first is a conductive zone with resistivity values of ≤316.23 Ω.m, interpreted as alluvium composed of clay, sand, and gravel. The second is a resistive zone with resistivity values of ≥562.34 Ω.m, interpreted as bedrock composed of limestone. Based on the subsurface lithology, zones with groundwater potential are found in conductive areas with resistivity values ranging from 3.16 to 56.23 Ω.m, which are associated with water-saturated alluvial layers, particularly those dominated by clay and sand. From the 2D resistivity cross-sections analysis, line 3 shows the highest potential for groundwater exploration, with water-saturated layers occurring at both shallow and deeper depths, reaching up to 0–40 m. This study provides valuable information for water resource management in Mon Ikeun Village, especially in addressing future clean water shortages.
Planning of Evacuation Places and Routes for Flood Disaster in Kesambi District, Cirebon, Indonesia Mohammad Rivaldy; Sobar Sutisna; Robertus Anugerah Purwoko Putro; Rachmat Setiawibawa; Subiyanto, Adi; Sutanto
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 | DOI: 10.25299/jgeet.2025.10.3.22858

Abstract

The increasing frequency and intensity of flooding in Kesambi District, Cirebon City, has caused significant economic losses and disrupted people's lives. This study attempts to manage flood disaster risks through careful planning. By combining spatial data analysis and an associative descriptive approach, this study produces a map of evacuation places and routes that can be relied on to deal with future floods. The results of the study indicate that the potential for flooding in Kesambi District causes extensive damage and has a significant impact on people's lives, especially in Drajat, Kesambi, and Pekiringan Sub-districts. Thousands of residents of Kesambi District are exposed to disaster risks and damage to buildings and infrastructure that hinder mobility and economic activity. Based on the analysis of capacity, travel time, and distance, this study has determined 6 evacuation places that can accommodate the estimated number of evacuees and 40 existing evacuation routes can be safely passed. These six evacuation places are considered strategic because they are close and can be reached in a short time, making it easier for people to immediately carry out independent evacuation when a disaster occurs.

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