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POLA SEBARAN DAN KETERJANGKAUAN SD, SMP, DAN SMA DI KECAMATAN TAROGONG KIDUL, KABUPATEN GARUT Fadhia Habiba Ayyumi; Astrid Damayanti; Kintan Maulidina
GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Vol 10, No 2 (2022): SEPTEMBER
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/geography.v10i2.10833

Abstract

Abstrak: Sekolah merupakan salah satu prasarana yang berperan dalam pemenuhan kebutuhan pendidikan pada masyarakat. Namun, sebaran jumlah SD, SMP, dan SMA belum merata pada setiap daerah di Indonesia, termasuk di Kecamatan Tarogong Kidul, Kabupaten Garut, Jawa Barat. Oleh karena itu, penelitian ini bertujuan untuk mengetahui pola sebaran SD, SMP, dan SMA serta keterjangkauannya di Kecamatan Tarogong Kidul. Penelitian dilakukan dengan variabel sebaran sekolah, jangkauan pelayanan sekolah, aksesibilitas, dan kepadatan permukiman. Data dalam penelitian dikumpulkan dengan memanfaatkan Google Maps, studi literatur, dan survei lapang. Metode analisis yang digunakan adalah nearest neighbor analysis dan buffer analysis. Pengolahan data dilakukan dengan software ArcGIS Pro 2.8. Hasil penelitian menunjukkan bahwa lokasi sekolah di Kecamatan Tarogong Kidul memiliki pola acak, seragam, dan mengelompok terutama di wilayah permukiman padat. Keterjangkauan sekolah negeri memiliki kesesuaian antara radius capaian sekolah berdasarkan SNI dan alamat tempat tinggal siswa, sedangkan sekolah swasta tidak. Jangkauan pelayanan sekolah swasta lebih luas sehingga dapat menjadi alternatif bagi masyarakat di luar jangkauan sekolah negeri. Abstract: Schools are one of the infrastructures that play a role in meeting the educational needs of the community. However, the distribution of the number of SD, SMP, and SMA is not evenly distributed in every region in Indonesia, including in Tarogong Kidul Subdistrict, Garut Regency, West Java. Therefore, this study aims to find out the distribution pattern of SD, SMP, and SMA and their affordability in Tarogong Kidul District. The research was conducted with the variables of school distribution, school service coverage, accessibility, and settlement density. The data in the study were collected using Google Maps, literature studies, and field surveys. The analytical method used is nearest neighbor analysis and buffer analysis. Data processing is carried out using ArcGIS Pro 2.8 software. The results showed that the location of schools in Tarogong Kidul District had a random, uniform, and clustered pattern, especially in densely populated areas. The affordability of public schools has a match between the radius of school achievement based on SNI and the student's residential address, while private schools do not. The reach of private school services is wider so that it can be an alternative for people outside the reach of public schools.
Spatial Analysis of Health and Physical Parameters of the Mangrove Forest at Taman Hutan Raya Ngurah Rai, Bali Using Sentinel-2A Muhammad Dimyati; Astridia Putri Nurhaliza; Astrid Damayanti
Indonesian Journal of Geography Vol 54, No 2 (2022): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.69840

Abstract

Mangrove forest is a very valuable forest, but despite its benefits mangrove forest continue to be degraded due to human activities. The purpose of this study was to map the distribution and to analyze mangrove forests’ health based on the NDVI vegetation index value and environmental quality. Distribution of mangrove forest health was obtained through the processing of sentinel 2-A satellite imagery in 2020 and field measurements. The environmental quality of the mangrove forest was obtained by processing the physical parameters which are water temperature, water salinity, water pH, and substrate texture using the Ordinary Kriging method. The health of the mangrove forest of Taman Hutan Raya Ngurah Rai is dominated by healthy category mangroves. The health of the mangrove forest worsens when closer to the shore and riverbanks. Mangrove vegetation with good conditions tends to have optimal environmental quality conditions and vice versa.
Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh Rini Fitri; Astrid Damayanti; Nur Intan Simangunsong; Munawir ,
Aceh International Journal of Science and Technology Vol 11, No 3 (2022): December 2022
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.801 KB) | DOI: 10.13170/aijst.11.3.25804

Abstract

The population growth rate is a factor that causes changes in land use that impact land ecology due to increased population activities related to social, economic, and cultural aspects. Land use change aims to develop facilities and infrastructure to meet the population's needs. This research seeks to interpret land-use changes in 1999, 2008, and 2019 and predict land use in the Peusangan watershed in 2030. The map overlay method analyzes land use change in 1999-2008, 2008-2019, and 2019-2030. In predicting land use, this study uses the Cellular Automata approach. The results of the analysis specifically show that the trend of land use change until 2030 is a decrease in the area of forest land use covering an area of 11,014 ha (4.27%), open land covering an area of 31 ha (0.01%), shrubs 6,083 ha (2.36%), and water bodies covering an area of 459 ha (0.18%). On the other hand, it is predicted that in 2030 the Peusangan watershed will see the most significant increase in land use for plantations of 14,225 ha (5.52%), followed by land use of 1,664 ha (0.65%), 817 ha (0.32%), settlements covering 710 ha (0.28%), 132 ha of rice fields (0.05%), and 28 ha of pond land use (0.01%). The results of this study are expected to be input for policymakers regarding land use planning in the Peusangan watershed in the future
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 (IJReSES) Vol 19 No. 2 (2022)
Publisher : Ikatan Geografi Indonesia

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.
KARAKTERISTIK DAN POLA PERSEBARAN DOLINA DI KECAMATAN PONJONG DAN SEMANU, KABUPATEN GUNUNGKIDUL Damayanti, Astrid; Sari, Diah Fitri Novita
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 2, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Ponjong and Semanu Districts, Gunungkidul Regency are included in Gunung Sewu Karst mega system which has the variety of morphologies. Karst morphologies were formed as the result of karstification that could have negative impacts, such as doline’s modification impacts land subsidence occurrence. Therefore, the aim of this research is to know the potential of land subsidence by determining characteristics and distribution pattern of doline. Those characteristics of doline are karst terrain, vegetation density, and surface temperature. This research used SRTM data and Landsat 8 to identify those characteristics of doline. Furthermore, using analysis doline’s morphometric and Nearest Neighbour Analysis (NNA) method used to find the distribution pattern of doline. Based on its characteristics, doline is divided into wet and dry. Doline has three different shapes, which are oval, round, and irregular. Those dolines have the group distribution pattern (NNA index 0,843). In Semanu District formed a clustering pattern, indicating further development of karstification of doline when compared with in Ponjong District which still tend to be random. Characteristics of clumped doline are found in lowland terrain forms with medium vegetation densities and high surface temperatures, while random ones have a bumpy terrain field shape with dense vegetation densities and low surface temperatures.
Land Use Prediction Using Markov Cellular Automata in the Peusangan Watershed, Aceh Fitri*, Rini; Damayanti, Astrid; Simangunsong, Nur Intan; Munawir, Munawir
Aceh International Journal of Science and Technology Vol 11, No 3 (2022): December 2022
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.11.3.25804

Abstract

The population growth rate is a factor that causes changes in land use that impact land ecology due to increased population activities related to social, economic, and cultural aspects. Land use change aims to develop facilities and infrastructure to meet the population's needs. This research seeks to interpret land-use changes in 1999, 2008, and 2019 and predict land use in the Peusangan watershed in 2030. The map overlay method analyzes land use change in 1999-2008, 2008-2019, and 2019-2030. In predicting land use, this study uses the Cellular Automata approach. The results of the analysis specifically show that the trend of land use change until 2030 is a decrease in the area of forest land use covering an area of 11,014 ha (4.27%), open land covering an area of 31 ha (0.01%), shrubs 6,083 ha (2.36%), and water bodies covering an area of 459 ha (0.18%). On the other hand, it is predicted that in 2030 the Peusangan watershed will see the most significant increase in land use for plantations of 14,225 ha (5.52%), followed by land use of 1,664 ha (0.65%), 817 ha (0.32%), settlements covering 710 ha (0.28%), 132 ha of rice fields (0.05%), and 28 ha of pond land use (0.01%). The results of this study are expected to be input for policymakers regarding land use planning in the Peusangan watershed in the future.
Mapping Landslide Susceptibility Areas Using GIS Analysis in Cilawu Sub-district, Garut, West Java Nastiti, Afifa Ayu; Damayanti, Astrid; Maulidina, Kintan
Indonesian Journal of Environmental Management and Sustainability Vol. 7 No. 3 (2023): September
Publisher : Magister Program of Material Science, Graduate School of Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/ijems.2023.7.3.95-103

Abstract

A landslide is the movement of soil mass down a slope. Landslides can be influenced by some factors including rainfall, soil type, land slope, land cover, and human activities. Cilawu Sub district, Garut, West Java is one of the most frequently experienced landslide areas which cause severe losses. This mapping aims to provide information about the landslide susceptibility areas in Cilawu Sub-district, Garut, West Java by using a Geographic Information System (GIS). This study used Digital Elevation Model (DEM) image, Landsat image, rainfall, geology, and soil types data which were then mapped using ArcGIS software. The analysis process used the overlay method, scoring method, and weighting method. The final result was a landslide map with 4 susceptibility levels covering low susceptibility, medium susceptibility, high susceptibility, and very high susceptibility. Based on this analysis, Cilawu District was dominated by the following classes: high susceptibility with an area of 5470.07 Ha, medium susceptibility with an area of 1627.78 Ha, very high susceptibility with an area of 515.96 Ha, and low susceptibility with an area of 366.16 Ha.
Kajian Geospasial Pemetaan Bidang Tanah Terdaftar Pada Program Pendaftaran Tanah Kota Lengkap di Kecamatan Selaparang, Kota Mataram, Nusa Tenggara Barat Setiawan, Akemat Rio; Hartono, Rudi; Putra, Dewa Putu Asmara; Damayanti, Astrid
Tunas Agraria Vol. 8 No. 1 (2025): Tunas Agraria
Publisher : Diploma IV Pertanahan Sekolah Tinggi Pertanahan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31292/jta.v8i1.377

Abstract

Land registration is a government requirement to ensure legal clarity, protect the rights of landowners, and understand the land's identity. Complete Systematic Land Registration (PTSL) as a national strategic program aims to build and maintain the quality of land plot data. To map a land plot, it is necessary to check its position to overcome existing gaps and overlaps. This research aims to evaluate the quality of spatial data on land plots in Selaparang District with a focus on identifying gap and overlap problems. The process of mapping land plots generates a distribution map, aiming to establish ownership of properly landed land plots. This research uses a spatial approach that can provide accurate and comprehensive mapping of land plots using a Geographic Information System. The results demonstrate that the number of registered lands in each sub-district identifies land plots that have undergone repair and are free from gaps and overlaps. This can support efficient development and land management programs and help the city of Mataram become a complete one. Analysis and improvement of land data is important to ensure data accuracy and integrity, reduce land conflicts, and improve land governance and better development planning.   Pendaftaran tanah merupakan keharusan pemerintah untuk menjamin kejelasan hukum dan melindungi hak pemilik tanah, serta memahami identitas tanah. Pendaftaran Tanah Sistematis Lengkap (PTSL) sebagai program strategis nasional bertujuan membangun dan menjaga kualitas data bidang tanah. Untuk memetakan bidang tanah, perlu dilakukan pemeriksaan posisi guna mengatasi gap dan overlap yang ada. Penelitian ini bertujuan untuk mengevaluasi kualitas data spasial bidang tanah di Kecamatan Selaparang dengan fokus pada identifikasi masalah gap dan overlap. Pemetaan bidang tanah menghasilkan peta sebaran bidang tanah yang bertujuan guna mewujudkan kepemilikan bidang tanah yang terlandingkan dengan tepat. Penelitian ini menggunakan pendekatan spasial yang dapat memberikan pemetaan yang akurat dan menyeluruh mengenai bidang tanah menggunakan Sistem Informasi Geografis. Hasil menunjukkan bahwa bidang tanah yang telah diperbaiki dan bebas dari gap dan overlap dapat diidentifikasi jumlah tanah terdaftar di masing-masing kelurahan. Hal tersebut dapat mendukung program pembangunan dan pengelolaan tanah secara efisien serta membantu Kota Mataram menjadi Kota Lengkap. Analisis dan perbaikan data pertanahan ini penting guna memastikan akurasi dan integritas data, mengurangi konflik pertanahan, dan meningkatkan tata kelola lahan serta perencanaan pembangunan yang lebih baik.
Impacts of Land Cover Changes on Land Surface Temperature Using Landsat Imagery with the Supervised Classification Method Khairunisa, Farisya Isnaayu; Damayanti, Astrid; Maulidina, Kintan
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.30834

Abstract

Land cover changes affecting the area's ecology align with the development and increase in urbanization. Tarogong Kidul Subdistrict, Garut Regency, experienced changes in the land cover which changed the soil surface temperature. This study aims to determine the relationship between changes in land cover and land surface temperature. This study used Landsat 8 Surface Reflectance Tier 1 satellite imagery to extract information on the Normalized Difference Vegetation Index and process ground surface temperatures for three periods, 2014, 2017, and 2020, and the guided classification method. Image collection and processing were carried out using Google Earth Engine and software. ArcGIS Pro. The distribution of land surface temperature was then correlated with changes in the NDVI (value of the land cover vegetation index) using simple linear regression analysis and spatial correlation. This study reveals that land cover change is closely related to an increase in soil surface temperature, as indicated by the rise in soil surface temperature in areas experiencing land use change. The results of the linear regression analysis (84.49%) showed that changes in land cover and the greenness index of vegetation were the most critical driving factors for changes in soil surface temperature.
Decadal Monitoring of Upwelling Dynamics in Satonda Island Waters Using Landsat-8 and Machine Learning Regression Anisya Feby Efriana; Masita Dwi Mandini Manessa; Farida Ayu; Astrid Damayanti; Muhammad Haidar; Kuncoro Teguh Setiawan
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.