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INDONESIA
Indonesian Journal of Geography
Published by Universitas Gadjah Mada
ISSN : 00249521     EISSN : 23549114     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Indonesian Journal of Geography ISSN 2354-9114 (online), ISSN 0024-9521 (print) is an international journal of Geography published by the Faculty of Geography, Universitas Gadjah Mada in collaboration with The Indonesian Geographers Association. Our scope of publications includes physical geography, human geography, regional planning and development, cartography, remote sensing, and geographic information system. IJG publishes its issues three times a year in April, August, and December.
Arjuna Subject : -
Articles 613 Documents
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A Spatial Political-Economic Review on Urban Growth in Java under Economic Liberalization of Dutch Colonialism During the 19th Century Hafid Setiadi; Hadi Sabari Yunus; Bambang Purwanto
Indonesian Journal of Geography Vol 54, No 3 (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.60550

Abstract

This study understands the rise and fall of cities as a result of colonial worldview and practices. Based on spatial political-economic thinking, this study examines the spatial implications of Dutch colonialism on urban growth in Java during the 19th century. The practice of colonialism at that time took place in a relatively stable regional situation.  The analysis of textual data from various literature indicates that the economic liberalization of Dutch colonialism in that time was a continuation of the VOC’s mercantilism but with a stronger intention to control the factors of production. Territorial expansion to fertile areas indeed encouraged the emergence of medium-sized cities in the inland, but on the other hand, degenerated several older cities on the coast. Spatially, the ambitions and practices of colonialism had a limited implication on urban growth. The combination of territorial and capital logic triggered political liquidation which was reflected in the spatial pattern of urban growth. The identity and symbol of colonial power were attached as new elements to the cities. This process revealed a locational decision to channel economic benefits to strategic places for sustaining domination of power for the long-term.
Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in Mountainous Area Projo Danoedoro; Diwyacitta Dirda Gupita; Muhammad Zayyanul Afwani; Haeydar Anggara Hadi; William Krista Mahendra
Indonesian Journal of Geography Vol 54, No 3 (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.60659

Abstract

Digital surface model (DSM) has been widely available for mapping and was also sometimes used for mapping vegetation height. The authors conducted a preliminary study to evaluate the potential use of DSMs derived from ASTER, ALOS, and SRTM for estimating vegetation cover density in mountainous area.  This study used NDVI and SAVI vegetation indices, in addition to forest cover density (FCD) model as references for evaluation.  A DSM-based volume index (Volindex) concept is introduced, which is the product of the canopy height model (CHM) and the pixel area. CHM was derived from the value difference between the DSM and the reference DEM. The Volindex model was then compared with the NDVI, SAVI and FCD.  We found that all DSM-based Volindex models are not accurate enough to represent the vegetation cover density, although the ALOS Palsar-based Volindex could reach 41.53% accuracy and was finally used to predict the vegetation cover density.
Assessing Gains of stakeholders for Mega Project implementation: Learning from Beneficiary Assessment of Lahore Ring Road Project, Pakistan Muhammad Asim; Atiq ur Rehman; Muhammad Nadeem
Indonesian Journal of Geography Vol 54, No 3 (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.65778

Abstract

The population is increasing rapidly globally, and urban expansion of the cities has become an extensive trend in developing nations. Urban expansion patterns, such as transportation structure and road networks, affect transportation planning. This research was conducted on a mega project in Lahore city of Pakistan, i.e., the Lahore Ring Road (LRR) project. Limited research focused on the beneficiary assessment of the road project, and this research was carried out to fill this research gap. This research aims to evaluate the beneficiary assessment of DHA Phase 8 and Halloki Settlement along the Lahore Ring Road. The simple Random Sampling technique was used to conduct the household survey in the study area. This study concluded that most of the residents did not modify their houses nor increase the built-up area and height after the introduction of the project. This study inferred that the rental potential was high at some locations and low at old existing settlements. This research further concluded that community participation was ignored, and public facilities were not improved in the study area. But a project of LRR was very much beneficial and alive for the residents of Lahore city. Community participation should be enhanced in such types of megaprojects, and allied facilities in the nearby community should be upgraded. This research will be helpful for policymakers, urban planners, transportation planners, development authorities, and other stakeholders in planning future road projects in the country.
Road Transportation Development and Land Use Changes in Semarang City, Central Java, Indonesia Endah Sri Hartatik; Wasino Wasino; Edy Trihatmoko
Indonesian Journal of Geography Vol 54, No 3 (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.66195

Abstract

This research aims to make a historical mapping of the development of road infrastructure and the impact on land use changes. A historical analysis was conducted based on the documents and reports of transportation development, road construction, and urban planning in Semarang City, the capital city of Central Java, Indonesia. From a historical perspective, the transportation development and the land use change of Semarang City were determined by economic activities from the early period of colonialism, especially when this city was devoted as a port city in Java with massive coastal inhabitants. Along with this economic activity, ports and roads were built, accelerating the city’s development until the mid of 20th century. Road construction generated urban problems such as rapid urbanization, and environmental problems. Meanwhile, the road construction also accelerated the city agglomeration, connecting Semarang City with other cities on the Java North Coast. However, in the 1990s the symptom of the use of private transportation occurred in Semarang which became the most critical issue in the later periods.
Effect of Transportation Infrastructure on Built-up Area Using Prediction of Land Use/Cover Change: Case Study of Yogyakarta International Airport, Indonesia Irwansyah Sukri; Rika Harini; Sudrajat Sudrajat
Indonesian Journal of Geography Vol 55, No 1 (2023): 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.68216

Abstract

The development of transportation infrastructure increases the pressure on natural resources, one of which is the increase in the built-up area. The changes do not only happen during the construction of transportation infrastructure but also after its completion. Therefore, this study aims to identify and simulate land use/cover changes in Kulon Progo Regency, Indonesia, to predict the effect of the construction of Yogyakarta International Airport (YIA). A quantitative descriptive method was used with the main data of multitemporal Landsat remote sensing images. Furthermore, the integration of Cellular Automata and Artificial Neural Networks (CA-ANN) was applied to simulate land use/cover change predictions (2035). The results of image classification using the supervised maximum likelihood classification showed an overall accuracy of 85.33% and 86.67% for 2011, and 2015 with 2019 using Landsat 7 and 8 images, respectively. Meanwhile, there was an increase in paddy fields of 1,210.1 ha (2.11%) and built-up area by 2,708.6 ha (4.72%) during 2011 – 2019. Conversely, shrubs and dryland agriculture decreased by 1,594.1 ha (2.78%) and 2,174.1 ha (3.79%). The simulation results indicate that the development of transportation infrastructure further triggers the increase in built-up area, especially around the YIA. Therefore, policymakers and development implementers should adopt and implement appropriate and effective planning for sustainable land use.
Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia Gian Felix Ramadhan; Iswari Nur Hidayati
Indonesian Journal of Geography Vol 54, No 3 (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.68702

Abstract

Population size multiplies along with the increasing need for residential space. As often occurs in developing cities like Purwokerto, population growth is associated with land use/land cover (LULC) change to accommodate housing demand both in the present and future. Therefore, this study was intended to map LULC changes in three different years: 2008, 2013, and 2018, and predict the change in 2023. For LULC data extraction, a pixel-based digital classification with a maximum likelihood algorithm was applied to Landsat images. In addition, the LULC change prediction was modeled with Modules for Land Use Change Simulations (MOLUSCE) from the QGIS plugins. It used two algorithms: artificial neural network (ANN) with a multilayer perceptron (MLP) and cellular automata (CA). The LULC classifications for 2008, 2013, and 2018 were 88%, 86%, and 88% accurate, while the prediction was 75.26% accurate, with a kappa of 0.634. Predictions and simulations indicate fluctuations in LULC change in the City of Purwokerto periodically, especially for built-up land, showing growth that continues to increase significantly.
Importance of Tropospheric Correction to C-band InSAR Measurements: Application in the 2018 Palu Earthquake Hidayat Panuntun; Leni Sophia Heliani; Wiwit Suryanto; Cecep Pratama
Indonesian Journal of Geography Vol 54, No 3 (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.68984

Abstract

Long-term InSAR-based observations are prone to atmospheric delay interference. The active-phase signals emitted and recorded back by sensors during imaging are easily disturbed by the electron content in the ionospheric layer and the water vapor content in the tropospheric layer. Given that the short wavelength of the C-band used by Sentinel-1 is more sensitive to tropospheric delay than to ionospheric delay, in this work, we utilized InSAR Sentinel-1 data to observe the postseismic deformation that occurred following the 2018 Palu earthquake and to evaluate the effect of tropospheric delay on the estimated interferogram time series. The cloud computation of Looking into Continent from Space with Synthetic Aperture Radar (LiCSAR) and LiCSBAS was used to generate interferograms and analyze the time series. Here the atmospheric delay was modeled by using Generic Atmospheric Correction Online Service (GACOS) and removed from the generated interferograms. Results showed that the annual velocity and cumulative line-of-sight (LOS) displacement were refined by correcting the atmospheric delay. Specifically, by applying GACOS, the standard deviation of the generated interferograms decreased by up to 76.6%. GNSS observations were utilized to verify the improvement due to the removal of tropospheric noise. We found that LOS displacement with GACOS correction better fitted the GNSS observation than LOS displacement without GACOS correction. Therefore, atmospheric correction plays an important role in long-term InSAR-based observations, especially in avoiding any bias in the interpretation of the estimated time series.
Flood Risk Mapping Using GIS and Multi-Criteria Analysis at Nanga Pinoh West Kalimantan Area Ajun Purwanto; Rustam Rustam; Dony Andrasmoro; Eviliyanto Eviliyanto
Indonesian Journal of Geography Vol 54, No 3 (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.69879

Abstract

Flood is one of the disasters that often hit various regions in Indonesia, specifically in West Kalimantan. The floods in Nanga Pinoh District, Melawi Regency, submerged 18 villages and thousands of houses. Therefore, this study aimed to map flood risk areas in Nanga Pinoh and their environmental impact. Secondary data on the slope, total rainfall, flow density, soil type, and land cover analyzed with the multi-criteria GIS analysis were used. The results showed that the location had low, medium, and high risks. It was found that areas with high, prone, medium, and low risk class are 1,515.95 ha, 30,194.92 ha, 21,953.80 ha, and 3.14 ha, respectively. These findings implied that the GIS approach and multi-criteria analysis are effective tools for flood risk maps and helpful in anticipating greater losses and mitigating the disasters.
Carbon Sequestration of Fruit Trees under Contrasting Management Regimes Muhamud Nabalegwa Wambede; Gertrude Akello; Andrew Mulabbi; Bernard Barasa; Jerome Sebadduka Lugumira; David Amonya
Indonesian Journal of Geography Vol 54, No 3 (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.70203

Abstract

This study aimed at establishing the potential of fruit trees in carbon sequestration. The specific objectives were to establish the carbon stocks in fruit trees compare the potential of carbon stocks in citrus and mango trees and examine the relationship between the management practices and carbon stocks in fruit trees. At the farm level, plots were identified and transects established and individual fruit trees from sampled individual farms along the transect were selected. At the tree level, measurements of tree height and diameter at breast height were made. They were converted to biomass using allometric equations. Analysis of Variance was used to compare the differences in carbon stocks between the fruit trees and between the different management practices.  Findings revealed higher biomass and carbon stocks in mango trees as compared to citrus (74.57 ± 14.95 and 13.52 ± 1.25 t/ha respectively). Significant differences are also reported in carbon stocks under different management practices (p < 0.05). Irrespective of the species type, above-ground carbon under different management practices followed the order (from highest to lowest): Inorganic fertilizer < Intercrop < Monocrop < organic fertilizer and irrigation < intercrop and inorganic fertilizer.  The results also point out that mango fruits have a high potential to sequestrate carbon emissions hence mitigating global warming.
Spatial Analysis of Startup User Locations and Its Accuracy Values Using Spatial Data Modeling, Palembang City, Indonesia Monanisa Monanisa; Kiki Aryaningrum; Andri Kurniawan; Agus Joko Pitoyo; Sukmaniar Sukmaniar; Wahyu Saputra
Indonesian Journal of Geography Vol 54, No 3 (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.70537

Abstract

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