Whidayanti, Ella
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Kajian Spasial Perubahan Luas dan Kerapatan Mangrove terhadap Abrasi di Desa Pejarakan, Buleleng Whidayanti, Ella; Handayani, Tuty
Journal of Geographical Sciences and Education Vol 3 No 1 (2025): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v3i1.202

Abstract

The coastal village of Pejarakan, adjacent to West Bali National Park, has a fairly extensive mangrove ecosystem. Mangrove ecosystems have an important role as a protector of the coastline due to abrasion and accretion. Alterations in mangrove ecosystems along the coast of Pejarakan Village, caused by oceanographic factors and land-use changes, lead to changes in the coastline. This study aims to determine the relationship between changes in mangrove area and density to abrasion in Pejarakan Village within five years. The data needed in this study are remote sensing data of Landsat 8 OLI/TIRS satellite imagery in 2015 and 2020, analyzed using NDVI and single-band threshold methods. The results of this study show that the mangrove area along the coastline of Pejarakan Village has changed in mangrove coverage of 25.77 hectares, with an increasing level of density. These changes affect the occurrence of abrasion and accretion which results in changes in the coastline along the coastal coast of Pejarakan Village.
Aplikasi Pemodelan 3D untuk Memprediksi Daerah Rawan Banjir: Studi Kasus Kampus Universitas Indonesia di Depok Whidayanti, Ella
Journal of Geographical Sciences and Education Vol 3 No 2 (2025): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v3i2.215

Abstract

A 3D Modelling is a process of generating three-dimensional objects that can be presented in visual form. Geographic Information Systems (GIS) play a crucial role in modelling hydrological phenomena, including floods. Flooding can significantly impact infrastructure and community activities, including those at the Universitas Indonesia (UI) Depok Campus. GIS-based 3D modelling serves as an effective method for analyzing and predicting potential flood risk areas. This study aims to create a 3D model to visualize flood-prone areas within the UI Depok Campus. It processes Digital Elevation Model (DEM) and Triangulated Irregular Network (TIN) data as the foundation for 3D flood inundation. The model simulates water overflow based on extreme rainfall scenarios and drainage capacity. Results indicate that certain areas within the UI Depok Campus, particularly in the north, are highly prone to flooding during heavy rainfall. These impacts can be mitigated through the design of effective mitigation strategies, the development of adaptive infrastructure, and the formulation of responsive, data-driven policies.
Analysis of Land Cover Change in Relation to the Urban Heat Island Phenomenon using Remote Sensing and GIS Technology in South Jakarta, Indonesia Whidayanti, Ella; Labib, Muhammad Syauqi; Novani, Nabilah Rizki; Hazani, Syahla Nuzla; Akyas, Muhammad
Journal of Geographical Sciences and Education Vol 3 No 3 (2025): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v3i03.291

Abstract

The Urban Heat Island (UHI) phenomenon is one of the most significant environmental impacts resulting from land cover changes in urban areas. This study aims to analyze the relationship between land cover change and the UHI phenomenon in South Jakarta through the use of remote sensing and Geographic Information System (GIS) technologies. The data used comprise Landsat-8 OLI/TIRS from 2015 to 2018 to generate NDVI, NDWI, NDBI, Land Cover, and Land Surface Temperature (LST) indices. Pearson correlation test was also conducted to determine the variables that most influence the UHI phenomenon. The land cover changes, particularly the expansion of built-up areas and the reduction of vegetation—directly contribute to an increase in surface temperature. The correlation analysis reveals that NDBI consistently exerts the strongest influence on UHI (0.55), followed by NDWI (0.21) and NDVI (0.18). This research underscores the critical importance of land-use regulation as a strategic approach to mitigating UHI in urban environments.