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All Journal Indonesian Journal of Geography Jurnal Planologi Sultan Agung Interaksi Online AGROTEKBIS Record and Library Journal Infestasi Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktik dalam Bidang Pendidikan dan Ilmu Geografi Jurnal Geografi IJEMS (Indonesian Journal of Environmental Management and Sustainability) Jurnal Meteorologi Klimatologi dan Geofisika International Journal of Remote Sensing and Earth Sciences (IJReSES) J SIG (Jurnal Sains Informasi Geografi) GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Jurnal Tunas Agraria Makara Journal of Technology Aceh International Journal of Science and Technology Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments) Geosfera Indonesia The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Astrid Damayanti
Departemen Geografi, Fakultas Matematika & Ilmu Pengetahuan Alam, Universitas Indonesia
Agriculture, Biological Sciences & Forestry Astronomy Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Evaluation of the Implementation of the Detailed Spatial Plan (RDTR) 2012-2032 in Jagakarsa District: A Perspective on Land Use Suitability and Regional Functional Alignment Aindyana, Hernata; Taryana, Didik; Damayanti, Astrid
Jurnal Planologi Vol 22, No 1 (2025): April
Publisher : Universitas Islam Sultan Agung Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jpsa.v22i1.42753

Abstract

ABSTRACTSpatial planning is a crucial aspect of sustainable regional management, particularly in urban areas with high mobility, such as Jagakarsa District, South Jakarta. As a buffer zone and water catchment area for Jakarta, Jagakarsa faces the challenge of land-use conversion due to high population density (15,090 people/km²) and increasing economic activity. This study aims to evaluate the implementation of the Detailed Spatial Plan (RDTR) 2012-2032 in Jagakarsa through a quantitative spatial approach using the overlay technique on RDTR maps and on-screen digitization of 2024 land use based on Google Earth imagery.The research method involves land use suitability variables based on the ITBX matrix, with data validation using Confusion Matrix and Kappa Coefficient, achieving 86% accuracy (Google Earth) and 95% (BPN). Data collection was conducted through manual digitizing, followed by spatial analysis to measure the suitability of RDTR implementation against existing land use. The study's benefit is to provide targeted spatial planning policy recommendations, particularly in protecting the ecological function of the region. The results indicate an RDTR implementation suitability rate of 91.97%, with the highest non-compliance found in horticulture sub-zones (69.51%), cemeteries (71.13%), water bodies (40.15%), and green open spaces (21.75%). Although RDTR designates Jagakarsa as a water catchment area, the green open space (RTH) coverage only reaches 13%, which is far below the 30% standard mandated by Law No. 26 of 2007. Proposed solutions include increasing RTH allocation to 20%, strict monitoring of my land-use changes, and enforcing Building Permit (IMB) regulations to restore Jagakarsa's ecological role as a natural flood control barrier. These steps are expected to create a healthy and sustainable environment, achieving a balance between development needs and environmental conservation. Keywords:  RDTR, Land Use, Suitability, Jagakarsa
THE EVOLUTION OF AGRICULTURAL LAND AROUND THE SAND MINING AREA FROM 2011 – 2021 IN LELES DISTRICT, GARUT REGENCY, WEST JAVA Damayanti, Astrid; Fachrizal, Helmi Rahmat; Kintan Maulidina
International Journal of Remote Sensing and Earth Sciences Vol. 21 No. 2 (2024)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/ijreses.v21i2.6566

Abstract

Mining activities can alter land use patterns, including converting agricultural land. The transformation of agricultural land is occurring at varying rates, whether rapid or gradual. The evolution of agricultural land may be observed in terms of its shape, area, and land function. This paper was prepared to determine the evolution of agricultural land due to the expansion of limestone mining in Leles District from 2011 to 2021 to support further research in this area. The data collection process employed a combination of historical Google Earth images, secondary data, and land farm surveys conducted in Leles District, Garut Regency, from 2011 to 2021. The images were then assessed to identify land shape, area, and function changes. Subsequently, the data were subjected to analysis and comparison with existing literature. The study results demonstrate the evolution of the site and the utilization of agricultural land as a consequence of mining development. The expansion of the mining area has resulted in the transformation of the surrounding land into agricultural land. During the observation period, the mining area increased by 98%, while the farming area decreased by 27%.
DIFFERENCES OF COASTALLINE CHANGES IN THE AREA AFFECTED BY LAND COVER CHANGES AND COASTAL GEOMORPHOLOGICAL SOUTH BALI 1995 - 2021 Muhammad Dimyati; Muhamad Rafli; Astrid Damayanti
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3781

Abstract

The South Bali coast is prone to abrasion due to its geographical position facing the Indian Ocean. High sea waves and currents in the south of Bali will erode beaches whose lithology and morphology are prone to abrasion. Land cover conditions that do not support coastal protection will also affect the high abrasion of the southern coast of Bali. This study aims to analyze the shoreline changes in South Bali from 1995-2021. The analytical method used is the Digital shoreline analysis system (DSAS), with data from Landsat 5 TM, Landsat 7 ETM+, Landsat 8 OLI/TIRS, and Sentinel 2A. The analysis results show that the area directly facing the waves is relatively high, with volcanic rock formations, and there is no mangrove as coastal protection. The lack of good coastal management shows the area with the highest abrasion. It was found in the western part of Tabanan Regency, eastern Gianyar, and southern Badung. Meanwhile, the average coastal accretion was relatively high in the neck of South Bali, in areas where the land cover was mangrove and adjacent to river mouths, which experienced much sedimentation.
Modelling Land Use Land Cover Change in Banyumas Regency Using Remote Sensing Data for Tourism Policy Evaluation Hernina, Revi; Wicaksono, Arif; Wibowo, Adi; Damayanti, Astrid
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
Publisher : UI Scholars Hub

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Abstract

Tourism is essentially a geographical phenomenon, encompassing the movement and flow of people and spatial distribution patterns relating to land use consumption. The impacts of tourism on LUCC must track and monitor regrading effected to environment and human side. For decades, Banyumas Regency has been known for its famous tourist destinations such Baturaden District and numerous waterfalls. However, the development of tourism infrastructures within its vicinity has sparked complaints from communities, particularly damaged roads and decreasing tourist visits. From environmental perspective, excessive tourism development might cause decreasing natural carrying capacity. Therefore, to provide deeper analysis regarding the current tourism development, this article describes the Land Use/Land Cover Change (LULC) in Banyumas Regency in 2000, 2010, and 2020 based on satellite data analysis using Google Earth Engine (GEE). Sentinel satellite data in 2020 were processed to generate LULC, while Landsat TM 5 data were used to provide LULC in 2000 and 2010. LULC classification was performed using Random Forest with accuracy assessment (Kappa) reach 0.81 for 2000, 0.91 for 2010, and 0.96 for 2010. Furthermore, based on CA-Markov method, the predicted LULCC in 2030 will be 84.28% unchanged and 15.72% change. In addition, several tourism development policies need to be evaluated based on the predicted LULCC in Banyumas Regency in order to avoid disturbance to natural resources.
Decadal Monitoring of Upwelling Dynamics in Satonda Island Waters Using Landsat-8 and Machine Learning Regression Efriana, Anisya Feby; Manessa, Masita Dwi Mandini; Ayu, Farida; Damayanti, Astrid; Haidar, Muhammad; Setiawan, Kuncoro Teguh
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.47203

Abstract

Global warming and associated weather changes, notably the El Niño Southern Oscillation (ENSO), significantly impact marine ecosystems by altering water quality parameters such as chlorophyll-a (Chl-a) and sea surface temperature (SST). These changes are crucial in understanding the biogeochemical and ecological dynamics of marine environments, especially in regions affected by upwelling. This study aims to monitor upwelling events on Satonda Island, a volcanic island with unique central lake and status as a protected area using remote sensing. Utilizing Landsat-8 imagery and machine learning regression techniques—Random Forest (RF), Support Vector Machine (SVM), and Classification and Regression Tree (CART)—this research evaluates the water quality in Satonda waters over a decade (2013– 2023). The RF method emerged as the most accurate in estimating Chl-a and SST, indicating its efficacy in monitoring marine ecosystems with the result (RMSE = 0.309 and 0.274). The analysis reveals seasonal upwelling patterns, characterized by decreased SST and increased Chl-a concentration, with peaks varying annually between June and November. This study highlights the crucial role of remote sensing and machine learning in monitoring the effects of climate change on marine biodiversity. It provides valuable insights into the temporal dynamics of upwelling in the shallow waters of Indonesia.
Co-Authors Adi Wibowo Aindyana, Hernata Alisya Zhafira Hafiz Aninda Ainun Mi’raj Anisya Feby Efriana Ardi Hamzah Arif Wicaksono Asri Sekar Ningrum Astridia Putri Nurhaliza Ayu, Farida Didik Taryana Effendy Effendy Efriana, Anisya Feby Fachrizal, Helmi Rahmat Fadhia Habiba Ayyumi Fahriyah Fahriyah Faizah Muthmainnah Farida Ayu Firman Hidayat Fitri*, Rini Hartono, Rudi Hernina, Revi Ike Widia Ariani Khairunisa, Farisya Isnaayu Kintan Maulidina Kintan Maulidina Kuncoro Teguh Setiawan Kuncoro Teguh Setiawan, Kuncoro Teguh Masita Dwi Mandini Manessa MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI Maulidina, Kintan Max Nur Alam Muhamad Khairul Rosyidy Muhamad Rafli Muhamad Rafli Muhammad Dimyati Muhammad Dimyati Muhammad Haidar Muhammad Haidar Muhammad Refiansyach Dwiyanto Munawir , Munawir Munawir Nastiti, Afifa Ayu Novia Rahmat Desti Sukmawati Nur Intan Simangunsong Putra, Dewa Putu Asmara Ranum Ayuningtyas Ranum Ayuningtyas, Ranum Ravidania Auni Rini Fitri Sari, Diah Fitri Novita Setiawan, Akemat Rio Tandiyo Pradekso Taufik Suprihatini