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All Journal JURNAL TEKNIK GEOLOGI : Jurnal Ilmu Pengetahuan dan Teknologi The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Panggea Ghiyats Sabrian
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Earth & Planetary Sciences Engineering

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ASSESSING THE POSSIBILITY OF LAND SUBSIDENCE DUE TO GEOTHERMAL PRODUCTION IN SARULLA GEOTHERMAL FIELD USING SENTINEL-1 Mochamad Iqbal; Panggea Ghiyats Sabrian
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 2 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3843

Abstract

Sarulla geothermal field is one of the largest geothermal fields in the world which has a 330 MW installed capacity. The field consists of three areas, namely Namora Langit (NIL)-1, NIL-2, and Silangkitang (SIL) which operated from 2017 and 2018. It is situated precisely at the Sarulla graben which is an active tectonic area composed of Quaternary Toba tuff and intermediate lava and extrusive felsic pyroclastic Toru. This study aims to see whether land subsidence may emerge in the Sarulla geothermal field and its environs in addition to determining whether the geothermal activity or anthropogenic is responsible for the deformation. We used the persistent scatterer (PS) interferometry synthetic aperture radar (InSAR) method to calculate the rate of subsidence in the area. 30 ascending images from Sentinel-1 were gathered from 5 January to 18 December 2020 with a separation of 12 days to run the analysis. The results demonstrate that Sarulla is undergoing subsidence occurring at NIL and SIL with a velocity of 0 to -32.9 mm/year. Although negative deformation occurs in the geothermal area, there is no solid evidence indicating geothermal fluid extraction is the cause of subsidence.
Application of the Infiltration Method to Assess the Hydrogeological Characteristics of the Balikpapan Formation and Pulau Balang Formation Muhammad Fikri Al Azhar; Panggea Ghiyats Sabrian; Augusta Reyhan; Muhammad Raya Leon; Danar Ricy
JURNAL TEKNIK GEOLOGI : Jurnal Ilmu Pengetahuan dan Teknologi No. 1 (2026): Special Issue: BORNEO EARTH SCIENCE SUMMIT 2025
Publisher : Teknik Geologi Fakultas Teknik Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jtgeo.v0i1.26706

Abstract

The availability and sustainability of groundwater resources constitute a highly critical issue amid increasing water demand driven by several factors, such as population growth, industrial activities, and large-scale infrastructure development. This is particularly evident in Samarinda City, East Kalimantan Province, which also serves as one of the supporting cities for the Nusantara Capital City (IKN), East Kalimantan.This study aims to measure the infiltration rate at various locations within the Balikpapan Formation and the Pulau Balang Formation. Through the measurement of infiltration rates, this research is expected to provide information regarding the level of permeability and the groundwater recharge potential in the area.The research method will be conducted through a field-based approach by applying infiltration measurements using a double-ring infiltrometer, which functions to determine infiltration rates at several data collection points within the Balikpapan Formation and the Pulau Balang Formation. These infiltration measurements will be complemented by outcrop observations in the surrounding study area.The obtained infiltration data will then be analyzed quantitatively to evaluate the level of permeability and infiltration capacity at the research locations within the Balikpapan Formation and the Pulau Balang Formation. The results of this study are expected to be representative and provide comprehensive information regarding infiltration rates, soil permeability levels, as well as the identification of zones with high recharge potential that can be utilized for groundwater management.
Integrating Random Forest and Spectral Similarity Index using Landsat Data for the Identification of Mining Areas in Samarinda and Surrounding Regions Destia Amandha; Angger Putri Maharani; Muhammad Dio Riddo Febrian; Ajeng Diah Pramesti; Panggea Ghiyats Sabrian
JURNAL TEKNIK GEOLOGI : Jurnal Ilmu Pengetahuan dan Teknologi No. 1 (2026): Special Issue: BORNEO EARTH SCIENCE SUMMIT 2025
Publisher : Teknik Geologi Fakultas Teknik Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jtgeo.v0i1.26778

Abstract

The growth of coal mining activity in Samarinda City has led to rapid land cover changes, impacting environmental conditions and surface geology. Remote sensing is an efficient method for monitoring these changes because it provides extensive spatial and temporally consistent data. This research aims to develop a more accurate mining area mapping approach by integrating the Random Forest algorithm and Spectral Index Similarity Analysis on Landsat 9 imagery from 2024. The first phase used Random Forest to map five main land cover classes: forests, crops, urban areas, water bodies, and bare land. The Random Forest algorithm demonstrated high performance with an Overall Accuracy of 94.7% and a Kappa Coefficient of 0.92. However, the bare land class still exhibited spectral confusion with mining areas due to similar reflectance in the red-SWIR channel. To address this limitation, the second phase applied NDVI, NDBI, and BSI-based analysis specifically to bare land areas to distinguish active mines from non-mining surfaces. The spectral logic of low NDVI (<0.25), high BSI, and BSI > NDBI has proven effective in identifying overburden characteristics and dry mining surfaces. The final mapping showed that the identified mining area in 2024 reached 4,246.26 hectares, or approximately 5.9% of the total administrative area of Samarinda City. Coal mines are concentrated in the eastern, southern, and partly western parts of the city, reflecting the intensity of mining activity in the Balikpapan Formation and Pulau Balang Formation lithologies. These findings demonstrate that the hybrid Random Forest and Spectral Index approach can improve the accuracy of mining area separation and can serve as a basis for continuous coal mining spatial monitoring.
Co-Authors Ajeng Diah Pramesti Angger Putri Maharani Augusta Reyhan Danar Ricy Destia Amandha Mochamad Iqbal Muhammad Dio Riddo Febrian Muhammad Fikri Al Azhar Muhammad Raya Leon