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Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 25493094     DOI : https://doi.org/10.15294/jg
Core Subject : Education,
Other
Jurnal Geografi welcomes authoritative, original, ably illustrated, and well-written manuscripts on any topic of geographical importance related to Indonesian cases as well as others areas in the planet. The Journal publishes Articles, Technical Notes, Rapid Communications, Opinion Papers, Comments/Responses and Corrections
Arjuna Subject : Umum - Umum
Articles 27 Documents
 1   2   3 
The Analysis of the Effect of Population Growth on Changes in Built-Up Area Density in Kupang City in 2020 and 2024 Using the Normalized Difference Built-Up Index (NDBI) Method Lastawan, Indah; Muhammad Husain, Hasan; Rahmawati, Arfita
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 22 No. 2 (2025): Volume 22 No 2, December 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v22i2.36308

Abstract

The dynamics of urban development in Kupang City are strongly influenced by population growth and the increasing need for urban space. This study aims to analyze the relationship between population growth and changes in built-up area density in 2020 and 2024 using the Normalized Difference Built-Up Index (NDBI) from Landsat 8 OLI/TIRS Level-2 imagery. This study uses a spatial quantitative approach with the integration of remote sensing techniques, geographic information systems (GIS), and statistical analysis. Population data were obtained from the Central Statistics Agency (BPS) of Kupang City, while spatial data were from the USGS with a path/row of 110/070 and a cloud-free acquisition rate of <10%. Image processing includes atmospheric correction (LaSRC), cloud masking, cropping of administrative boundaries, and calculation of the NDBI index. NDBI values are classified into three categories: low ( −0.2–0.0), medium (0.01–0.2), and high (>0.2) based on the reference of Dewi et al. (2023). Field validation was conducted at 20 sample points with an accuracy of 87%. The results show a significant increase in built-up areas in Maulafa, Alak, and Oebobo, which aligns with the population growth trend in these sub-districts. Pearson's correlation (r = 0.418) indicates a positive relationship between population growth and built-up density. This finding confirms the relevance of the NDBI as a tool for monitoring urbanization in medium-sized cities in Eastern Indonesia  
The Spatial Distribution Analysis Of The Human Development Index (HDI) In Depok City, West Java Murshalin Nissa Ratu; vidyana; Meliyani Siti
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 23 No. 1 (2026): Volume 23 No 1, June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v23i1.40419

Abstract

Human Development is a concept that encompasses efforts to enhance human well-being and potential. Depok City, as an integral part of urban development in Indonesia, experiences population growth, urbanization, and social changes that significantly impact the quality of life of its residents. Therefore, this research is crucial. The purpose of this study is to determine the Human Development Index (HDI) in Depok City and identify the distribution of the HDI in Depok City for the years 2018, 2020, and 2022. The method used involves a quantitative approach based on the 2016 Central Statistics Agency guidelines and utilizes Geographic Information Systems (GIS) to analyze spatial distribution data. The research results indicate that Depok City's HDI shows a positive trend, with an increase each year. Depok City's HDI is divided into two classes: high, which is spread in the western and eastern parts, and very high, which is spread in the northern part and extends to the southern part of Depok City.
The Public Perception Of Earthquake Disaster Mitigation In Teluk Betung Timur District In 2025 Rifaldy Pratama Simanungkalit; Istiawati Novia Fitri; Herlina Meri
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 23 No. 1 (2026): Volume 23 No 1, June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v23i1.41657

Abstract

Earthquakes have the potential to cause major damage to life, resulting in significant loss and suffering for communities. Teluk Betung Timur District is a high-risk area due to the activities of the Tarahan Fault and the Semangko Fault, but empirical studies on the perception of the local community towards disaster mitigation are still very limited. Perceptions form the basis for society to take steps or act in response to such threats. This study aims to: (1) analyze public perception of the potential for earthquakes in East Teluk Betung District, (2) analyze public perception of earthquake disaster mitigation in East Teluk Betung District. The method used in this study is a descriptive quantitative method with data analysis techniques in the form of assessment and percentages using a five-level Likert scale. The data collection techniques in this study included observation, interviews, questionnaires, and documentation, with a sample size of 100 respondents taken using simple random sampling from 11,162 households. The results of the study showed: (1) the percentage of achievement of the maximum score of perception of potential earthquake disasters in Teluk Betung Timur District was 75.31% and categorized as good perception with a positive form of perception; (2) the percentage of achievement of the maximum score of perception of earthquake disaster mitigation in Teluk Betung Timur District is 73.99%, which is included in the category of good perception with a positive perception category. These findings indicate a gap in mitigation capacity between villages, especially related to the lack of an independent early warning system and the low intensity of socialization from local governments. This study highlights the importance of increasing disaster education programs based on the spatial needs of each village and strengthening the role of the government in providing earthquake mitigation infrastructure.  
The Rainfall Intensity Analysis in the Mount Merak Imogiri Area, as a Data-Based Recommendation for Disaster Mitigation and Drainage Managementof Cultural Heritage Sites Muchamad Arif Budiyanto; Muhamad Arifin; Afnan Juli Arochma
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 23 No. 1 (2026): Volume 23 No 1, June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v23i1.48465

Abstract

Mount Merak area in Imogiri Bantul Regency, Yogyakarta Special Region, is a highly important historical and cultural site. Its existence is located on a hillside with a terraced topography, making it vulnerable to the impact of hydrometeorological events (such as extreme rain). The aim of this research is to measure and analyze the intensity of rain in the Mount Merak Imogiri area. Provide data-based recommendations for hydrometeorologicaldisaster mitigation strategies, especially related to drainage management and erosion prevention. The methodology used involves frequency analysis of maximum daily rainfall data for 20 years (2004–2023) from the Siluk Rain Post which was processed using MS Excel software. The selection of the best distribution model was based on the Chi-Square and Smirnov- Kolmogorov goodness-of-fit tests, which determined the Log-Normal distribution as the most suitable method. Results of calculating rain intensity using the Mononobe method taking into account the concentration time (Tc) of 4.91 minutes. The analysis results show that the rainfall intensity value for return periods 2, 5, 10, 20, 50 and 100 years respectively is 15.71; 19.40; 21.66; 23.73; 24.37; and 26.29 mm/hour. These findings indicate a high risk of surface runoff in a short duration, so it is necessary to design optimal drainage systems and strengthen slopes to maintain the stability of cultural heritage building structures from the threat of local erosion and flooding.
The Analysis of Women's Boarding Houses Impact on Environmental Sanitation and PHBS in Kampung Baru, Bandarlampung Erni Oktaviani; Nugraheni Irma Lusi; Istiawati Novia Fitri; Utami Rahma Kurnia Sri
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 23 No. 1 (2026): Volume 23 No 1, June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v23i1.49404

Abstract

The increasing number of women’s boarding houses in the Kampung Baru neighbourhood an area surrounding a university has led to a rise in domestic activities that could potentially cause environmental sanitation issues, such as waste management, clean water availability, and the cleanliness of boarding house facilities. Suboptimal sanitation conditions can affect the residents’ adoption of Clean and Healthy Living Practices (PHBS). Previous studies have mostly examined environmental sanitation or PHBS separately; consequently, research on the relationship between women’s boarding houses, environmental sanitation, and PHBS within a single research model remains limited. Therefore, this study aims to analyze the influence of women’s boarding houses on environmental sanitation and their impact on PHBS in Kampung Baru Subdistrict.Penelitian ini menggunakan pendekatan kuantitatif dengan metode Structural Equation Modeling (SEM) tipe Reflective–Reflective Higher Order Construct menggunakan SmartPLS 3.0. Sampel penelitian berjumlah 91 penghuni rumah kost wanita. Data primer diperoleh melalui observasi, wawancara, dan kuesioner skala Likert, sedangkan data sekunder diperoleh dari data jumlah rumah kost dan sumber literatur terkait. Analisis dilakukan melalui uji validitas, reliabilitas, evaluasi model, PLS Algorithm, dan pengujian hipotesis.The results of the study indicate that women’s boarding houses have a highly significant effect on environmental sanitation (t-statistic 10.516; p-value 0.000; F-square 1.077). Environmental sanitation has a highly significant effect on PHBS (t-statistic 7.925; p-value 0.000; F-square 0.528), while women’s boarding houses have a significant effect on HBS (t-statistic 2.552; p-value 0.011; F-square 0.089). The R-squared values of 0.518 and 0.659 indicate that the models effectively explain the relationships among the variables. This study concludes that improving sanitation quality and implementing integrated boarding house management play a crucial role in promoting better PHBS and should serve as a consideration for boarding house managers and local governments in enhancing the quality of the residential environment.
A Regime-Aware Deep Learning for Long-Term Hydrometeorological Disaster Forecasting (2008–2029): A PELT-LSTM Framework Applied to Indonesia Yonatan yolius anggara; Rosyid Shidiq Hidayatulloh; Nurul Khotimah; Bambang Syaeful Hadi; Suhadi Purwantara
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 23 No. 1 (2026): Volume 23 No 1, June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v23i1.49495

Abstract

Indonesia's escalating hydrometeorological disaster frequency demands robust predictive frameworks capable of capturing non-stationary climate dynamics. This study aimed to analyze statistical correlations among disaster types and generate long-term flood frequency projections using advanced computational methods applied to national disaster data. Pearson correlation analysis was first conducted to quantify inter-disaster relationships, revealing strong associations between extreme weather, floods, and landslides (r = 0.79–0.86), alongside inverse relationships with drought. The Pruned Exact Linear Time (PELT) algorithm subsequently identified three significant regime shifts in 2012, 2017, and 2022, confirming the progressive non-stationarity of Indonesia's disaster patterns. A Long Short-Term Memory (LSTM) deep learning model was then trained on these regime-structured data to generate predictive forecasts. The model achieved high directional accuracy, successfully capturing the 2025 peak and 2026 decline, with an RMSE of 816.67 and MAPE of 43.77%. Projections for 2027–2029 estimate flood events reaching 2,278, 2,542, and 2,021 incidents respectively, indicating a sustained high-frequency disaster regime that necessitates urgent adaptive infrastructure and evidence-based climate resilience planning.
The Analysis of Erosion Rates in 2020 and 2024 Using Geographic Information Systems in the Liliba River Border Area, Liliba Village, Oebobo District Glory Mei Sanada Silalahi; Muhammad Husain Hasan; Poppy Haryani
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 23 No. 1 (2026): Volume 23 No 1, June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v23i1.49909

Abstract

Liliba Subdistrict , Kupang City , is area border rivers in semi-arid regions that experience pressure consequence development settlements and changes use Land . Despite having a long dry season, concentrated rainfall during the rainy season has the potential to increase erosion rates and the risk of land degradation. This study aims to analyze changes in erosion rates and the dynamics of erosion hazard levels influenced by changes in land use in the Liliba River riparian area for the period 2020–2024, as well as to develop land use guidelines that support sustainable environmental management in accordance with the Kupang City Spatial Plan (RTRW). The method used is the Universal Soil Loss Equation (USLE) which includes factors of rainfall erosivity (R), soil erodibility (K), slope length and gradient (LS), land use (CP) which are analyzed spatially using Geographic Information Systems (GIS) to compare conditions in 2020 and 2024. The results of the study show that the average erosion rate increased from 300.45 tons/ha/year in 2020 to 889.09 tons/ha/year in 2024. This change was followed by a shift in the dominance of the erosion hazard level from a heavy class covering an area of 253.75 ha in 2020 to a very heavy class covering an area of 281.32 ha in 2024. Based on the results of the analysis, land use guidelines are prepared according to the level of erosion hazard by emphasizing the implementation of soil and water conservation and protection of riparian areas. This study shows that changes in land use in riparian areas in semi-arid areas contribute to increasing erosion hazards, so integrated land use management is needed to support environmental sustainability in Liliba Village

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