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INDONESIA
Indonesian Journal of Geography
ISSN : 00249521     EISSN : 23549114     DOI : -
Core Subject : Science,
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
Human Capital and Regional Economic Growth in Indonesia: A Spatial Analysis Approach Windhani, Kikin; Purwaningsih, Yunastiti; Mulyaningsih, Tri; Samudro, Bhimo Rizky; Hardoyono, Fajar
Indonesian Journal of Geography Vol 55, No 3 (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.88241

Abstract

Endogenous growth theory assumes that human capital is a prominent factor in regional economic growth. However, the imbalance of human capital between regions is still a major problem in economic growth in Indonesia. Previous studies on regional economic growth have recognized the importance of considering spatial aspects as a determinant of regional economic growth. The geographical area in the form of an archipelago with a large number of administrative districts and cities produces pros and cons regarding the influence of spatial aspects on the regional growth of urban districts. This study aims to analyze the distribution of human capital using the Alternative Human Development Index (AHDI) approach and the effect of human capital and spatial aspects on the regional economic growth of urban districts in Indonesia within the framework of endogenous growth theory. The research method uses geometric mean to measure the Alternative Human Development Index, Geographic Information System (GIS) to see the distribution of human capital and regional economic growth in Indonesia, and the spatial regression Spatial Autoregressive Moving Average (SARMA) used to analyze the spatial aspects of human capital and regional economic growth in Indonesia. The results show that human capital in Indonesia is still unequal between the western and eastern parts of Indonesia. Human capital and spatial factors have positive effects and are the most influential determinants of Indonesia's regional economic growth, as indicated by the value of the spatial lag weight matrix of the dependent variable (ρ) and the spatial error term (λ) that is positive. 
Three-Dimensional Participatory Mapping for Toponymical Name in Nglanggeran Ancient Volcano of Yogyakarta Sekarsih, Fitria Nuraini; Mustopa, Ali; Cahyono, Ari; Kukuh, Kukuh
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.88278

Abstract

Place naming of a local area is closely related to geographic elements. Local names can also be used as a cultural identity and natural condition of a region. Nglanggeran Ancient Volcano (AV) area has local name elements highly influenced by those conditions. It is an interesting study material where a three-dimensional (3D) model can contribute as a medium to collect the place naming traces (toponym) in this area through participatory mapping. Participatory mapping, usually using 2D models in the form of sketches or maps, will be a separate story in interactive 3D media usage resulting from the photogrammetry process. It is expected that the media be able to show the geographical appearance of the Nglanggeran A.V area more clearly, such as geomorphology, geology, vegetation, hydrology, and even local culture, and contribute unexplored information. The results of participatory mapping in toponym collection are expected to be a medium that organizes the place naming of a local area into a complete database, along with the origin of the place names. It is also proposed that the results of participatory mapping through the 3D model be a means of preserving local culture in the Nglanggeran A.V area, making it more familiar to local residents and tourists.
The Impact of Land Use Change on Groundwater Depth in The Groundwater Transition Zone of Merapi Volcano, Yogyakarta, Indonesia Sejati, Sadewa Purba; Neritarani, Rivi
Indonesian Journal of Geography Vol 56, No 1 (2024): 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.88452

Abstract

Studies of the impact of land use change on groundwater on the southern slopes of Merapi Volcano tend to be carried out on a macro basis. Micro studies, especially in groundwater transition zones,  have not been previously conducted. In-depth studies need to be undertaken in the groundwater transition zone on the southern slope of Merapi Volcano to identify the impact of land use change on the dynamics of groundwater depth in 2012-2021. Data was collected through field surveys and remote sensing. Groundwater depth data were collected through field surveys in 2012 and 2021. Groundwater depth data were measured in dug wells. The location of the excavated well was determined by using the systematic random sampling method. Groundwater depth data were analyzed using the kriging spatial interpolation method. The results of groundwater depth interpolation in 2012 and 2021 were then compared to determine the changes. Rainfall data were also used in the study. Rainfall data were collected using remote sensing data through cloud computing. Literature studies related to the condition of monitoring wells were also used to determine groundwater dynamics based on rainfall conditions. Data on land use change for 2012-2021 were collected using remote sensing data. Land use change was analyzed using pansharpening, supervised classification, and overlay methods. Cross-tabulation analysis was performed to determine the impact of land use change on groundwater depth. The groundwater depths in the study area were classified into <6 m, 6-11 m, and >11 m. Changes in land use from irrigated rice fields to settlements and open land to scrub occurred predominantly in the study area. Changes in land use did not have a significant impact on changes in groundwater depth in the study area. Based on cross-tabulation analysis, it is known that 11.46% of the study area experienced groundwater deepening, 7.73% experienced groundwater siltation, and 80.81% experienced no change in groundwater depth in the period of 2012-2021. Groundwater deepening generally occurs in areas dominated by scrub and settlements far from river channels. Groundwater that grows shallower and does not change in depth occurs around irrigated rice fields close to river channels. Land use change that does not significantly impact groundwater depth is likely to occur because rainfall in the study area is high. The aquifer material in the study area also had an excellent ability to drain groundwater coming from the upper slopes of Merapi Volcano.
Re-Framing the Interlinked between Demographic Transition and Land-Use Change in Developing Countries Peri-urbanization Christiawan, Putu Indra; Nguyen, Thi Phuoc Lai
Indonesian Journal of Geography Vol 56, No 3 (2024): 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.89118

Abstract

Recent peri-urbanization, primarily characterized by declining agricultural land and a growing population, is a primary driver of peri-urban dynamics. As urban-centric activities and demands rise, unmanaged urban sprawl causes socio-cultural disruptions, pollution, and economic instability. The intricate processes dependable for these negative impacts are primarily associated with population dynamics and land use changes. This study investigates the trends of demographic and land-use changes in the peri-urban area and evaluates the interrelationships between these two factors.  We utilize the multi-decade population and land-use transformations from 1990 to 2020 in the peri-urban area of Denpasar City – one of the most metropolitan areas in Indonesia. The results reveal that the peri-urban areas encountered unprecedented population growth and urban sprawl. The results indicate that the inner peri-urban area has encountered more substantial changes in population and land use than the outer area. Nevertheless, specific demographic trends have a positive influence on peri-urban land-use transformation. This elucidates why land use is progressively diverging from household demographic dynamics, specifically in population growth, population density, and the proportion of males and individuals in non-productive age groups. The interlinked relationship between these variables suggests land use conversion in peri-urban areas. The results emphasize the need for governmental planners to carefully examine demographic and land-use trends when formulating regional cross-border plans to promote sustainable peri-urban development.
Comparing Master Recession Curves using Seven Baseflow Recession Models Latuamury, Bokiraiya
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.89691

Abstract

Baseflow recession analysis is an effective method for understanding catchment area releasing flow during dry season (without rainfall), thereby facilitating the management of water resources. Despite the availability of several theories on recession curves, there are limited studies on the comparison of different approaches. To overcome the limitation, several studies have reported the ability of master recession curves (MRC) modeling to combine automated methods for analyzing recession periods and curves shapes based on river flow data. Therefore, this study aimed to compare seven baseflow recession models for MRC characterization in small island watersheds. The Turkey test results showed that MRC visualization varied, particularly in terms of slope parameters and shapes. The seven recession models were grouped into two subsets based on their similarity. The first subsets consisted of Turbulent, Dupuit-Boussinesq aquifer storage, Depression-detention storage, Horton double exponential, Linear reservoir, and Exponential reservoir. Meanwhile, the second subset comprised Hyperbolic reservoir, Turbulent, Dupuit-Boussinesq aquifer storage, Depression-detention storage, Horton double exponential, and Linear reservoir. The findings also showed that the variability of MRC behavior depended on groundwater recharge, storage channel conditions, aquifer characteristics, and climate in the study area. These findings were also relevant to the development of MRC in other regions, such as hydrorecession tools, MRCPtool applications, sensitivity analysis-based Automatic parameter calibration of the VIC model for streamflow simulation over China, and spatial and temporal patterns in baseflow recession in the continental United States.
The Advantages of the OWA (Ordered Weighted Averaging) Method in Decision Making and Reliability Testing of Spatial Multi-Criteria Site Selection (SMCSS) Model Saragih, Darman Ferianto; Purba, Marsedes
Indonesian Journal of Geography Vol 56, No 1 (2024): 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.90037

Abstract

Most SMCSS research applies a previously well-known aggregation method, namely WLC (Weighted Linear Combination), which only provides one decision-making strategy. A number of studies also do not include reliability tests of their models. This paper aims to give comprehensive descriptions of the different decision results of the OWA method and demonstrate the unique sensitivity analysis process in the model itself. A case study of the retention pond site selection in Medan City, North Sumatra Province, Indonesia, was selected for this objective. The sequence of modeling steps is parameter determination, criteria map creation, map standardization, parameter weight determination, map combination, and model validation or model sensitivity testing. Model sensitivity is tested by measuring the changes in the model's output as a result of changes in the model's inputs. The input variation of the model was arranged by applying a set number of ordered weights, which are part of the OWA method itself. Various model outputs indicate two things at once. First, the results of the SMCSS model offer a varied decision strategy, and second, the SMCSS model is proven sensitive or reliable.
Mapping the Impact: Property Crime Trends in Kuching, Sarawak, During and After the COVID-19 Period (2020-2022) Ahmad, Azizul; Kelana, Muhammad Haziq; Soda, Ryoji; Jubit, Norita; Mohd Ali, Asykal Syakinah; Bismelah, Luqman Haqim; Masron, Tarmiji
Indonesian Journal of Geography Vol 56, No 1 (2024): 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.90057

Abstract

This study aims to explore how COVID-19 and the Movement Control Order (MCO) have influenced the trend of property crimes in Kuching, Sarawak spanning from 2020 until 2022. The lockdown imposed by the government had impacted daily activities in Malaysia, including those in Kuching, Sarawak. The methodology employed in this research involves descriptive analysis and spatial analysis, specifically using the Hot Spot Getis GI* technique, with the support of ArcGIS software. It examines relationships between crime and geography. The trend of property crime cases dropped from 1,144 cases (2020) to 813 cases in 2021 and ended with 683 cases in the year 2022. The value of GiZScore from the lowest of 2.066694 to the highest of 13.365677 is from the year 2021. Property crime in Kuching's urban center was targeted even during MCO beginning March 2020 to November 1, 2021. This indicates a notable decrease in property crime trends during the COVID-19 (2020-2021) pandemic period due to the MCO and lockdown which continue to impact into the subsequent endemic era of 2022. This demonstrates the efficiency of the Royal Malaysia Police, particularly in the context of Kuching, Sarawak.
An Overview of Sky Brightness Surrounding Timau National Observatory (TNO), Indonesia Yatini, Clara Yono; Tanesib, Jehunias L.; Maryam, Siti; Admiranto, A. Gunawan; Noor, M. Ferdhiansyah
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.90436

Abstract

This study aims to analyze skylight conditions surrounding the newly constructed Timau National Observatory (TNO) in Kupang, Indonesia. The analysis was carried out with the primary reason of determining the initial conditions and surroundings of the area, thereby providing valuable information for future observers who will be using the facility. To achieve the stated aim, the sky brightness in the study area was measured in units of magnitudes per square arcsecond (mpsas) at a 20-kilometer radius. Furthermore, numerous observations were conducted at 32 distinct observation points using Sky Quality Meter (SQM) LU-DL (SQM-LU-DL), which was directed towards the zenith. The results obtained from these observations were subsequently analyzed using Surfer software with the primary aim of determining sky brightness in the study area. The analysis showed variations in sky quality in a 20 km radius, ranging from 21.64 to 20.37 magnitudes per square arcsecond (mpsas). The measurements showed that sky quality fell between the categories of great dark and semi-suburban transitional skies. However, it was important to comprehend that recent investigations had identified bright areas surrounding the observatory area, capable of diminishing the visual quality of sky if left unaddressed.
Spatial Distribution Pattern of Covid-19 Cases and Their Characteristics In DKI Jakarta and Surrounding Areas Martono, Dwi Nowo Nowo; Saiya, Halvina Grasela
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.90542

Abstract

The COVID-19 pandemic has significantly affected various countries worldwide, including Indonesia. This study specifically examines the spatial distribution pattern of COVID-19 cases among sub-districts in DKI Jakarta and its neighboring areas. The study investigates the impact of spatial characteristics such as building density, population density, road network connectivity, and accessibility, as well as infrastructure completeness. A spatial regression model was employed to analyze the influence and pattern of COVID-19 case distribution among sub-districts. Spatial modeling indicates that geographic location has an effect on the data, often referred to as the autocorrelation effect. Moran’s Index was used to test the relationship between district locations and the number and growth rate of cases.The study findings reveal a positive spatial autocorrelation in the growth rate pattern of COVID-19 cases among sub-districts and clusters in DKI Jakarta and its surrounding areas. The spatial regression model, specifically the Spatial Autoregressive Model (SAR), identifies road connectivity, number of health centers, building density, and population density as spatial variables that significantly influence the rate of COVID-19 cases.
Spatial Evaluation of Waste Disposal Site Selection Using GIS-Based Multi-Criteria Analysis: A Case Study of Dera Ghazi Khan District, Pakistan Rehman, Aneeq Ur; Ahmad, Adeel; Sadef, Yumna; Ahmad, Sajid Rashid
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.90850

Abstract

The rapid population growth and rising per capita incomes have caused the city to generate massive amounts of municipal waste, indicating a serious environmental threat. Solid waste disposal has become a crucial problem for several municipalities. The selection of suitable waste disposal sites is a crucial problem in the urban areas of developing countries like Pakistan due to unsatisfactory urban planning and management to decrease human being’s health risks. Particularly, Dera Ghazi (D.G.) Khan district is facing the issue of identifying suitable sites for solid waste disposal. This research aims to select appropriate potential sites suitable for solid waste disposal purposes in the D.G. Khan. Primary datasets used for this study are Landsat-8 satellite imagery, digital elevation model (DEM) with 30-meter resolution for slope extraction. Other criteria included roads, railroads, and rivers digitized using the topographical map of the study area. The maps are prepared to incorporate overlay and suitability analysis using Geographic Information System (GIS), Remote Sensing techniques, and Analytical Hierarchy Process (AHP), a multi-criteria analysis. The final suitability map of study area is prepared using a GIS software suite and categorized as highly, moderately, least, and unsuitable regions, of which 3% is entirely unsuitable area, 70% less suitable, 26.16% moderately suitable, and 0.84% highly suitable area. The suggested disposal sites have been carefully selected to assist policymakers in determining the most sensitive areas and resolving waste management issues with the slightest contamination of water bodies and the environment.

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