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All Journal Jurnal Pendidikan Ilmu Sosial Journal of Geoscience, Engineering, Environment, and Technology Industria: Jurnal Teknologi dan Manajemen Agroindustri PRASASTI: Journal of Linguistics Jurnal Pengabdian Masyarakat IPTEKS Journal of Digital Education, Communication, and Arts (DECA) Jurnal Agrinika : Jurnal Agroteknologi dan Agribisnis Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Agrikan: Jurnal Agribisnis Perikanan JATIMAS : Jurnal Pertanian dan Pengabdian Masyarakat Jurnal Ilmiah Pertanian Nasional Jurnal Pengabdian Kepada Masyarakat Antropocene : Jurnal Penelitian Ilmu Humaniora Aktiva: Jurnal Manajemen dan Bisnis
Satriya Bayu Aji, Satriya Bayu
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Journal : Journal of Geoscience, Engineering, Environment, and Technology

 1 
An Analysis of the Accuracy of Time Domain 3D Image Geology Model Resulted from PSTM and Depth Domain 3D Image Geology Model Resulted from PSDM in Oil and Gas Exploration Irawan, Sudra; Rokhayati, Yeni; Aji, Satriya Bayu
Journal of Geoscience, Engineering, Environment, and Technology Vol 4 No 1 (2019): JGEET Vol 04 No 01 : March (2019)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1254.765 KB) | DOI: 10.25299/jgeet.2019.4.1.2121

Abstract

This study aims to obtain a geological model which is close to the truth and compare accuracy between the time domain 3D image of the PSTM results with the depth domain 3D image of PSDM results. There are 3 parameters to determine the accuracy of an interval velocity model in the production of a geology model: depth gathering that is already flat, semblance that has concurred with zero residual move-out axes, and depth image which conforms to the marker (well seismic tie). The analytical method employed is Horizon Based Tomography, which is a method to correct the seismic wave travel time error along the analyzed horizon. Reducing errors in the travel time of the seismic wave will decrease depth errors. This improvement is expected to provide correct information about subsurface geological conditions. The results showed that the depth domain image generated by the PSDM process represents the actual geological model better than time domain image produced by the PSTM process, evidenced by the sharpening of the reflector continuity, reduction of pull-up effect, and high resolution.
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.
An Integrated Approach to Land Condition Mapping:Combining Terrestrial Surveys, Photogrammetry, and GIS for Data Center Development in Nongsa Special Economic Zone Irawan, Sudra; Anggoro, Prastiwo; Pratama, Rizki Widi; Rassarandi, Farouki Dinda; Nainggolan, Marsanda; Basri, Muhammad Adi Hasan; M. Rajab Al Hakim; Sembiring, Fridheani Reshana; Simanjuntak, Pernando; Artini, Tia; Aji, Satriya Bayu
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.2025.10.02.21462

Abstract

Accurate and comprehensive land condition mapping is crucial for infrastructure development planning, particularly for data center construction in Nongsa Special Economic Zone (SEZ). This research integrates terrestrial survey, photogrammetry, and geographic information system (GIS) data to produce optimal land condition maps. The methodology involves field data collection through terrestrial measurements, aerial photography using photogrammetry, and data processing/analysis using GIS tools. This integrated approach enables the creation of comprehensive land condition maps, incorporating topography, land use, and other supporting parameters. The results demonstrate improved mapping accuracy and detailed spatial information, supporting informed location decisions. Eleven thematic maps were created, including topography, longitudinal and transverse profiles, composite volume, DSM/DTM contours, land cover, soil type, slope, water density, and flood hazard maps. Flood hazard analysis reveals that Nongsa has low (1.13 km²), moderate (61.16 km²), high (34.32 km²), and very high (0.0078 km²) flood risk areas. The majority of Nongsa (61.16 km²) falls within the moderate flood risk category. This research identifies that a significant portion of Nongsa, specifically 61.16 km², is categorized as having a moderate flood risk, highlighting the need for targeted infrastructure planning and risk mitigation strategies in the development of data centers within the SEZ. The results of this study also provide important insights into the impact of land use changes on the local ecosystem, making them valuable for planning more environmentally friendly and sustainable development.
Co-Authors Agustia Dwi Pamujiati Alam, Megawati Citra Anggoro, Prastiwo Annisa, Fitri Antoni, Condra Artini, Tia Aswar, Luki Bacut, Geubrina Tari Basri, Muhammad Adi Hasan Darmanto, Adi Desi Ratna Sari, Desi Ratna Dewi, Wiwin Septia Djoko Rahardjo Edy Kustiani Eko Yuliarsha Sidhi Fauzan, Muhammad Bishma Feby , Feby Feby, Feby Firdaus, Fadli Firmansyah, Edo Prastiko Fredi Fitriania, Tita Harahap, Nursaima Herlina Herlina Herry Purnomo Imam Rosadi Lubis, Eka Mutia M. Rajab Al Hakim Nainggolan, Marsanda Nareswari, Aptika Hana Prastiwi Natali, Suci Dayanti Nurul Fadilah, Nurul Pratama, Rizki Widi Prayoga, Reksa Nanda Rassarandi, Farouki Dinda Rasyadan Taufiq Probojati Rokhayati, Yeni Rumodhon, Berliansyah Saadati, Neli Saptorini Saptorini, Saptorini Sari, Luthfiya Ratna Sembiring, Fridheani Reshana Siahaan, Arta Uly Simanjuntak, Pernando Sismanto Suandi, Fadli Sudra Irawan, Sudra Supandji, Supandji Tian Havwini Tutut Dwi Sutiknjo Wenang Anurogo, Wenang Widi Artini WIWIEK ANDAJANI Wulandari, Dwi Anjen Setia Yunus, Rusyda Nazhirah