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Yurni Suasti
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INDONESIA
Jurnal Geografi
ISSN : 20867042     EISSN : 26146525     DOI : -
Journal of Geography adalah jurnal yang dikelola oleh Jurusan Geografi Fakuktas Ilmu Sosial Universitas Negeri Padang. Journal of Geography menerbitkan artikel-artikel ilmiah yang membahas tentang keilmuan keilmuan Geografi, Kependidikan Geografi serta hasil penelitian Ilmiah para Geografer di Jurusan Geografi FIS UNP. Semua artikel diterbitkan setelah melalui proses peer-review dari pakar di bidang masing-masing. Journal of Geography terbit dua kali dalam setahun.
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Articles 4 Documents
Search results for , issue "Vol 14 No 1 (2025)" : 4 Documents clear
PREDICTION OF RESIDENTIAL AREA DEVELOPMENT IN LEMBANG DISTRICT IN 2028 USING NEAREST NEIGHBOR ANALYSIS AND CELLULAR AUTOMATA-LOGISTIC REGRESSION Indriyani, Astri
JURNAL GEOGRAFI Vol 14 No 1 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/geografi/vol14-iss1/4553

Abstract

Population increase and swift growth in the Lembang District have led to considerable effects on land use alterations and a decline in vegetation. As a result, this research seeks to examine: 1) changes in land use in Lembang District in 2008-2023, 2) predictions of residential area development, 3) predictions of settlement development patterns. The approach applied involves Nearest Neighbor Analysis to examine the trends and pathways of regional growth in Lembang District, along with the Cellular Automata-Logistic Regression model utilized for forecasting shifts in land utilization in Lembang District. Findings from the investigation into land use alterations reveal transformations from agricultural areas to residential zones, with a total change area of 292.67 Ha and changes in dry fields/fields to plantations covering an area of 562.57 Ha. Then the prediction of settlement development in 2028 increased by 123.62 Ha or increased by around 8% with a kappa correction validation result of 97%. Based on the outcomes of the settlement forecast, a study was conducted on the settlement distribution trend. The findings from this study indicate that the anticipated settlement distribution trend that settlements form a clustered pattern.
Analisis Curah Hujan Dan Risiko Banjir Di Ibu Kota Nusantara (IKN) Tantangan Dan Strategi Mitigasi Anah, Lailatus Isti
JURNAL GEOGRAFI Vol 14 No 1 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/geografi/vol14-iss1/4566

Abstract

The relocation of Indonesia’s capital city to East Kalimantan presents new challenges, particularly in terms of disaster risk, including flooding. Land-use changes, deforestation, and high rainfall are key factors that may increase this risk. This study aims to analyze daily and monthly rainfall data in the surrounding areas of the new capital (IKN) from 2019 to 2024 to understand extreme rainfall patterns and their relation to flood potential. The method used is descriptive quantitative analysis based on rainfall data from BMKG stations closest to the IKN area. The data is analyzed to observe annual trends and variations in rainfall. The results are expected to provide an overview of the tendency for high rainfall and support data-driven flood mitigation efforts. These findings are important for spatial planning and the development of green infrastructure that is adaptive to climate change in the IKN region.
Geographic Information System EVALUATION OF ENVIRONMENTAL QUALITY OF SETTLEMENTS IN MANDALAJATI DISTRICT, BANDUNG CITY USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM Nugraha, Muhamad Aditya
JURNAL GEOGRAFI Vol 14 No 1 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/geografi/vol14-iss1/4567

Abstract

ABSTRACT EVALUATION OF ENVIRONMENTAL QUALITY OF SETTLEMENTS IN MANDALAJATI DISTRICT, BANDUNG CITY USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM Muhamad Aditya Nugraha The quality of the residential environment is a combination of the conditions of a residential environment including aspects of house conditions, sanitation and basic residential infrastructure. Rapid population growth accompanied by the decreasing availability of land for settlements has raised concerns regarding the quality of the residential environment. This study aims to evaluate the level of quality of the residential environment in Mandalajati District, as well as to test the accuracy of the results of Pleiades image processing and Geographic Information Systems (GIS) in assessing the quality of the residential environment. The research method used involves the interpretation of remote sensing imagery with a scoring and overlay approach. The results of this study indicate that the parameters that determine the quality of the residential environment based on Pleiades imagery include residential density, building layout, width of residential entrance roads, number of protective trees, location of settlements, and quality of building roofs. Analysis of the distribution of the level of environmental quality of settlements in Mandalajati District shows that 45% of the total area is classified as poor, 28% is in moderate, and 27% is in good. The accuracy of image processing and mapping is tested using a confusion matrix, with the accuracy reaching 92%. This study provides an important contribution to understanding the relationship between population density and the quality of the residential environment, and shows the effectiveness of using remote sensing and GIS technology in monitoring the quality of the residential environment. Keywords: Residential Environmental Quality, Remote Sensing, Geographic Information System.
ANALISIS SPASIOTEMPORAL LAND SURFACE TEMPERATURE DAN AIR SURFACE TEMPERATURE MENGGUNAKAN LANDSAT 8 TAHUN 2018, 2019, DAN 2025 DI FAKULTAS KESEHATAN MASYARAKAT UNIVERSITAS INDONESIA wardahni, Farah Septia
JURNAL GEOGRAFI Vol 14 No 1 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/geografi/vol14-iss1/4648

Abstract

Urban Heat Island (UHI) phenomenon causes higher urban temperatures than its surrounding areas. UHI comprises both Land surface temperature (LST) and Air Surface Temperature (AST) that are interrelated. LST is often linked to surface properties of landcover types with its influencing parameters, including surface material, vegetation, and soil moisture. Whereas AST is determined based on LST-based modeling, with field based measurement. Research analysis was conducted in Universitas Indonesia (UI), and the Faculty of Health Sciences (FKM), characterized by its unique landcovers, including dispersed vegetation, water bodies, and built-up areas, using Landsat 8 imagery.The results show that LST 2018, 2019, 2015 ranged 19,20 - 39,68 °C, with low temperatures in vegetation and water bodies, and high temperatures in asphalt and buildings. 2018 and 2019 AST using various linear models ranged 16,14 - 35,74 °C, and 2025 AST using the model best represents the actual temperature ranging 29,50 - 34,76 °C for UI and 31,44 - 32,47 °C for FKM. Field measurement conducted at building, vegetation, and impervious areas resulted in 31,80 - 35,07 °C temperature range. M-AST model shows 0,9988 × LST + 4,3082 regression produces results most closely matched to the field measurements. Keywords :UHI, LST, AST, Landsat 8, Universitas Indonesia

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