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Dewi Sartika
Universitas Syiah Kuala
Agriculture, Biological Sciences & Forestry Chemistry Education Physics

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Analisis Granulometri Batupasir Formasi Tutut di Kecamatan Beutong, Kabupaten Nagan Raya, Provinsi Aceh Anggi Aulia; Dina Gunarsih; Lia Fitria Rahmatillah; Dewi Sartika; Tika Hapsari; Akmal Muhni
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 7 No. 2 (2026): May
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v7i2.1791

Abstract

This study examines the grain-size distribution of the Tutut Formation sandstone using granulometric analysis. The purpose of this granulometric observation is to determine the depositional environment and its transportation mechanisms. In addition to using granulometric methods, this study also includes geological mapping to observe the rock lithology in the field. The results show that the study location consists of sandstone and mudstone units of the Tutut Formation, Meulaboh sand deposit units, and alluvial deposit units. The characteristics of Tutut Formation sandstone are gray-brown, reddish-brown due to weathering, coarse to fine sand grain size, medium to slightly rounded roundness, and does not react with HCl. Based on granulometric analysis, Tutut Formation sandstone has an average grain size of 0.214-0.327 ϕ, which is classified as coarse sand. The degree of sorting is 0.321 ϕ to 0.417 ϕ, with an average of 0.35 ϕ, so it is classified as good. Skewness values range from 0.107 to 0.263, with an average of 0.1775 ϕ, indicating fine skewness. The 0.1775 ϕ of the average skewness value indicates that the flow in this depositional environment is turbulent and a river depositional environment. Meanwhile, the kurtosis value ranges from 0.060 to 0.11, indicating a platykurtic to highly platykurtic distribution, suggesting a fairly diverse and even grain-size distribution from fine sizes in the matrix to coarse sizes. The diverse grain size implies that the matrix fills the pores between coarse grains. Thus, porosity is not available and has no potential as a reservoir rock.
Evaluasi Keberhasilan Revegetasi Lahan Reklamasi Tambang Menggunakan Data Sentinel-2 dengan Metode NDVI dan Pengamatan Lapangan di PT. Bara Energi Lestari, Kabupaten Nagan Raya, Provinsi Aceh Yoessi Oktarini; Rahman Hakim; Pocut Nurul Alam; Dewi Sartika; Yulianis
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 7 No. 2 (2026): May
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v7i2.1942

Abstract

Reclamation of former coal mining land is an obligation for mining companies to restore environmental conditions that have been disturbed due to mining activities. PT Bara Energi Lestari has carried reclamation and revegetation efforts in its former mining areas. The use of satellite imagery or remote sensing plays an important role in evaluating reclamation and revegetation activities. Satellite imagery greatly facilitates the evaluation process, particularly in analyzing land cover, improving time efficiency, and providing diverse visual data. Therefore, this study aims to evaluate the progress of revegetation in the reclamation areas of PT Bara Energi Lestari during the third reclamation period (2020–2024) and to assess the success of revegetation efforts through the analysis of the Normalized Difference Vegetation Index (NDVI). The study utilized NDVI data derived from Sentinel-2 imagery acquired from 2020 to 2024, which were spatially analyzed to examine changes in revegetation levels within the reclamation areas over the study period. The results of the analysis show that the revegetation efforts carried out in the reclamation areas of PT Bara Energi Lestari during the 2020–2024 period, which initially planned a reclamation area of 46.31 hectares, were ultimately realized on a reduced area of 43.91 hectares. Based on the analysis, the reclamation area from 2020 showed a vegetation cover of 98%, the 2021 area had 99%, the 2022 area had 89%, while the 2023 area dropped to 16%, and the 2024 area had only 9% vegetation cover.
Co-Authors Akmal Muhni Anggi Aulia Dina Gunarsih Lia Fitria Rahmatillah Pocut Nurul Alam Rahman Hakim Tika Hapsari Yoessi Oktarini Yulianis