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All Journal Bulletin of Scientific Contribution : Geology Journal of Degraded and Mining Lands Management Environmental and Materials
Girlly Marchlina Listyono, Girlly Marchlina
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Energy Engineering Environmental Science Physics

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LITOFASIES ENDAPAN KUARTER DI WILAYAH DKI JAKARTA Listyono, Girlly Marchlina; Arfiansyah, Kurnia; Natasia, Nanda; Alfadli, Muhammad Kurniawan; Pranantya, Pulung Arya
Bulletin of Scientific Contribution Vol 14, No 1 (2016): Bulletin of Scientific Contribution
Publisher : Fakultas Teknik Geologi Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (798.933 KB) | DOI: 10.24198/bsc.v14i1.9803

Abstract

Bay of Jakarta is covered of Qartenary deposits with terrestrial deposits intercalation with marine deposits. Interaction between those depositional environment produce deposits which have lithofacies variation. Rapid development of Jakarta impact on impossibility in finding outcrop. This research gives changes for detailed Quarternary deposit lithofacies study through 22 wells with depth range about 120-450 metres and depth total 6.556,61 metres. Terrestrial deposit characterized by domination of relatively coarse clastics and content of remaining roots, woods, plants, high content of quartz, lithic fragment, calcareous and oxidated appearace. Marine deposit characterized by finer clastics, contain remain of shells, fosil, coral, limestone fragments, glauconites, calcareous. The lithofacies variation of Quartenary depost from the wells indicate lateral and vertical variation change, also on coastline shifting either by transgression or regression.       Keywords : deposits, Jakarta, quartenary, sediment Jakarta merupakan daerah teluk yang tersusun oleh endapan kuarter dengan karakteristik litologi yang beragam. Sedimen penyusun endapan kuarter Jakarta dipengaruhi oleh proses sedimentasi lingkungan pengendapan darat dan laut. Interaksi antara dua lingkungan pengendapan tersebut menghasilkan endapan yang memiliki variasi litofasies. Dengan pesatnya pembangunan di Jakarta menjadikan kesempatan untuk melihat singkapan sangat kecil. Penelitian ini memberikan kesempatan untuk melihat litofasies endapan kuarter Jakarta dengan lebih jelas melalui 22 sumur bor dengan kedalaman berkisar 120 – 450 meter dan total tebal 6.556,61 meter. Endapan darat dicirikan oleh dominansi klastika yang relatif kasar dan kandungan sisa akar, kayu, tumbuhan, kaya butiran kuarsa, fragmen litik, kerikilan, serta sifat karbonatan dan kenampakan teroksidasi. Batas antara keduanya sepanjang periode Kuarter memperlihatkan variasi secara vertikal dan lateral dan perubahan garis pantai baik transgresi maupun regresi. Kata Kunci : endapan, Jakarta, kuarter, sedimen
Uncovering the spatial link between environmental risks, diarrhea incidence, and health service accessibility Listyono, Girlly Marchlina; Oinike, Adelina; Hambali, Dandi
Environmental and Materials Vol. 3 No. 1: (June) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v3i1.2025.1946

Abstract

Background: This study investigates spatial disparities between healthcare capacity, hospital accessibility, and environmental risk of diarrhea in West Java Province. Using a combination of Geographic Information System (GIS), network-based travel-time modeling, Principal Component Analysis (PCA), and clustering, the research identifies mismatches high-risk areas and low-access healthcare infrastructure. Spatial overlay reveals that districts such as Tasikmalaya, Garut, and Cianjur experience dual vulnerabilities—limited healthcare reach and elevated environmental risk indicators. Methods: PCA was used to reduce multicollinearity among six environmental and socioeconomic variables, including access to sanitation, drinking water, latrine type, and poverty level. After excluding three extreme outliers, 24 districts were clustered using PCA-derived composite scores. The clusters were overlaid with hospital accessibility maps from service area analyses (≤30 and 31–60 minutes). PCA explained 80.4% of the total variance. Findings: The results show that 3 out of 27 districts, such as Tasikmalaya, Garut, and Cianjur; exhibited critically low hospital bed ratios, and over 50% of their population is located outside the 30-minute service area of a hospital. PCA-based clustering revealed four spatial risk typologies, with Cluster 4 (extreme outliers) representing the highest composite risk from poor sanitation, communal latrines, and high poverty. These findings underscore a spatial mismatch between environmental vulnerability and healthcare accessibility. Conclusion: Integrated spatial planning is urgently needed in high-risk, low-access areas, combining infrastructure expansion with digital health solutions. Novelty/Originality of this article: This study introduces a spatial typology of diarrhea risk in West Java by integrating PCA and GIS-based accessibility, and aligns its recommendations with Indonesia’s national health policy frameworks (RPJMN 2025–2029 and PP No. 28/2024) to support data-driven, equitable public health interventions.
Land use and land cover (LULC) change from 2010 to 2015 driven by mining industries: A case study in Obi Island, Indonesia Listyono, Girlly Marchlina; Manurung, Parluhutan
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8677

Abstract

This study investigated land use and land cover (LULC) changes in Obi Subdistrict, Indonesia, from 2010 to 2015, driven by the expansion of the nickel mining industry. Using Landsat 7 and Landsat 8 imagery, Random Forest classification and change detection were conducted to evaluate annual LULC dynamics. Preprocessing included cloud masking and the calculation of NDVI, NDBI, and NDWI to enhance class separability. Four land cover classes were defined: dense vegetation, sparse vegetation, bare soil, and urban areas. The results showed a significant increase in urban/built-up area from 2,052 ha (2010) to 4,843 ha (2015), alongside a decrease in sparse vegetation from 92,770 ha to 84,848 ha. Dense vegetation increased to 10,236 ha in 2015, suggesting potential regrowth. Chord diagrams and pixel-based change maps reveal that transitions from sparse vegetation to urban and dense vegetation dominate the landscape change. Accuracy assessment indicates classification reliability improved from Landsat 7 to Landsat 8, with dense vegetation F1-score increasing from 0.21 to 0.81. This study demonstrated the utility of spectral indices and machine learning in early-stage LULC detection. It recommends future improvements using object-based classification, ground-truth validation, and deep learning for more robust environmental monitoring in resource-rich areas. This study contributes an early-stage LULC assessment framework for mining zones in Indonesia, which can inform future land governance and remote sensing policy applications.
Co-Authors Hambali, Dandi Kurnia Arfiansyah, Kurnia Muhammad Kurniawan Alfadli Nanda Natasia Oinike, Adelina Parluhutan Manurung Pulung Arya Pranantya, Pulung Arya