Indonesian Journal of Geography
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Human Capital and Regional Economic Growth in Indonesia: A Spatial Analysis Approach
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.
Spatial and Temporal Analysis of 2019 Novel Coronavirus (2019-Ncov) Cases in Selangor, Malaysia
The COVID-19 pandemic continues to wreak devastation on public health systems worldwide, particularly in Selangor, Malaysia, COVID-19 was reported from October 2020 to October 2021 at prevalent rate. In order to control and prevent the spread of this pandemic, which is already underway, there is need to comprehend the spatial dimension of this disease. Therefore, the purpose of this study was to describe the patterns of COVID-19 virus transmission in the state of Selangor. Methods: Using a Geographic Information System (GIS), and the Moran’s Index (MI), spatial distribution of COVID-19 across the entire mukim was mapped and spatial statistical analysis was carried out with indications of local spatial correlations. Results: The finding revealed that the clusters were concentrated in the western and southern regions (Global Moran's I = 0.468, p = 0.05, Z = 7.01) of the state of Selangor, thus, this research provides important information on the regional distribution and temporal dynamics of COVID-19. Conclusion: An assessment of COVID-19's geographic spread can help enhance health care programs and resource allocation in Malaysia, specifically Selangor where the COVID-19 is pandemic
The Temporal and Spatial Analysis of Corona Pandemic in Jordan using the Geographic Information System: An Applied Geographical Study
The coronavirus disease which results from severe acute respiratory syndrome (SARS-COV-2), is considered a global challenge affecting millions of people and leading to a global increase in mortality, including in Jordan. Therefore, this study aims to analyze the temporal and spatial patterns of the prevalence and outbreak of coronavirus in Jordan during six periods, from 1, October 2020 until 31, March 2021 by applying geographical information systems. The Moran coefficient was applied in addition to the G* test and location quotient (LQ). The results showed the overall pattern for the distribution of cases affected by the virus was random since most governorates' experience increased the focus and prevalence of the pandemic. Furthermore, four hot spots were revealed, namely Amman, Irbid, Zarqa, and Balqa'. This study introduced new insights into the statistical analysis of the distribution and prevalence of coronavirus in Jordan using geographical information systems. This will help planners and decision-makers to predict the dynamics of the temporal and spatial transfer of the virus in the future. It will also explain the current situation to set the appropriate policies or measures to face the pandemic, as well as reduce its prevalence. Therefore, monitoring, evaluating, and planning the usage of geospatial analysis are essential for controlling the spread of COVID-19 in the country
Geoinformatics of Spring Water Quality in Small Village
Geoinformatics is spatial information based on characteristics and analysis regarding spatial data. Water is the main component of human life with clean water, especially drinking water found from various sources, including spring water. Water quality is a global standard as a chemical, physical, and biological parameter. The study aims to determine the potential spring water based on spatial analysis of water quality standards for potential use. The method used to determine the potential utilization of springs using geographic information system analysis. Data is based on the difference in height, slope, and distance from springs to settlements and discharge. Water quality samples are analyzed using mobile and laboratory tests. The result found that physical parameters from five locations, Sirah Citanggulun, Cikerebek, Cijati, Cijati 2, and Galumpit, have good quality to meet the utilization requirements, especially for water designation class. Chemically parameters, water quality, is relatively good based on several parameters such as pH, Nitrite, dissolved iron, and zinc, which do not exceed the required quality standard threshold. The biological parameters, five samples are contaminated by bacteria Escherichia coli and total coliform. Regarding the literature review, this research found that biological contaminants are unsuitable for drinking water, but it is still good to become another used. The research concluded that the spring water in a small village could become potential uses for drinking water based on the parameter of water quality for daily use, especially for drinking water, regarding biological parameters that spring water must be boiled to drink
Analysis of Land subsidencein coastal and urban areas by using various techniques– Literature Review
Over the past several decades, subsidence has emerged as a significant issue affecting urban, coastal, and mining areas worldwide. This phenomenon has been exacerbated by a decrease in groundwater resources, which has become a major problem on a global scale. Insufficient availability of surface water has led to excessive exploitation of the earth's groundwater system through unplanned processes. As a result, serious problems have arisen, including economic challenges, hazardous activities, and damage to the Earth's surface. One of the most significant and impactful consequences of excessive groundwater extraction is land subsidence. During a comprehensive literature review focusing on land displacement, 40 research papers were analyzed and discussed. These studies explored various techniques employed to monitor subsidence, such as synthetic aperture radar (SAR), interferometry synthetic aperture radar (InSAR), persistent scatterer interferometry synthetic aperture radar (PS-InSAR), and differential synthetic aperture radar (D-InSAR). Researchers have consistently found a strong correlation between the over extraction of underground fluids, such as water, oil, and gas, and land subsidence. One prominent cause of land subsidence identified by researchers is the over extraction of underground fluids. When excessive amounts of water, oil, or gas are extracted from underground reservoirs, the resulting voids and reduced pressure cause the overlying land to sink and compact. This process can have severe consequences for human settlements, infrastructure, and ecosystems in affected areas. The depletion of groundwater reserves, in particular, has become a pressing concern because of its vital role in supporting agricultural, industrial, and domestic water needs.Furthermore, the underground construction of tunnels has also been identified as a significant contributor to land subsidence. The excavation of tunnels creates voids and alters the natural balance of underground structures, leading to ground settlement and subsidence. This issue is particularly relevant in urban areas where extensive tunneling projects are undertaken to facilitate transportation, utilities, and infrastructure development. To monitor and assess land subsidence, various methods and processes are employed. SAR, InSAR, PS-InSAR, and D-InSAR techniques are valuable tools in this regard. SAR uses satellite-based radar systems to capture high-resolution images of the Earth's surface, enabling the detection of subtle changes over time. In contrast, InSAR employs two or more radar images to measure ground deformation by analyzing interference patterns. PS-InSAR focuses on persistent scatterers, which are specific targets that exhibit stable radar reflections over time, providing precise measurements of subsidence. D-InSAR combines two radar images acquired at different times to accurately calculate differential ground movements. By using advanced monitoring methods, scientists can assess the extent of subsidence and develop strategies to mitigate its negative impacts. It is crucial to adopt sustainable practices and ensure careful management of groundwater resources to effectively address this pressing issue
THE CHANGES AND SPREAD OF SETTLEMENTS OF CHINESE PADANG, INDONESIA
This article discusses the changes and distribution of Chinese settlements in Padang before and after 1945. This article aims to explain the process of change and distribution of Chinese settlements and identify the underlying factors. This article uses a historical approach by utilizing document and oral data by conducting FGDs. A field survey was conducted with a high-resolution satellite and processed with Geographical Information System (GIS). This article concludes; (1) During Dutch East Indies Government, the Chinese did not strictly isolated, their settlement was found outside of the Chinese camp; (2) The distribution of Chinese settlements became more intense through expansion of the city and the development of settlements since the 1980s. (3) The 2009 Padang earthquake had a significant impact on the changes and distribution of Chinese settlements; (4) Currently, Chinese settlements are scattered in almost all city areas in form of lot and cluster housing with various types
The COVID-19: Socioeconomic Crisis and Its Management on a Bangladeshi Coastal Island
This study aimed to investigate the socio-economic crisis aroused due to the COVID-19 pandemic and associated prevention measures on the coastal riverine island Nalua in Bangladesh. The cross-sectional household questionnaire survey was done among the randomly selected households in the study area. This study revealed that more than 70 percent of the surveyed households had at least one member with COVID-19 symptoms. The local administration and community-based organizations have taken initiatives to enforce the government’s order on the island, but about three-fourths of households did not test their family members having COVID-19 symptoms because of fear of isolation and societal barriers. However, whether tested or not, approximately 15 percent of households took steps to isolate the infected person from the rest of the family. The demand for hand washing agents, face masks, and gloves increased in the study area. Island dwellers' food supplies were hampered and about 74 percent were supposed to buy food items at an increased price. For recovering from the educational crisis, the students watched live television classes, participated in online class lectures, and submitted their desired assignments to their institutions. According to survey results, about 39 percent of economically active family members lost their income-generating occupations. To manage their livelihoods, island dwellers have switched their income sources and, in most cases, taken consumer loans. This study suggests that governments, non-government organizations, and community-based organizations need to take effective steps to reduce socioeconomic crises during pandemics
The Contribution of Community Social Capital in Resolving the Environment: Case Study in Regional Landfill Area of Piyungan, Yogyakarta, Indonesia
Domestic waste has been a major problem faced by Indonesia since time immemorial. One of the significant ways to deal with this problem is to implement a system and build an integrated waste management facility. The regional landfill area of Piyungan, Yogyakarta, Indonesia, a waste disposal site covering Sleman and Bantul regencies, and Yogyakarta City still experiences complicated problems with this management process. At the landfill, waste management is reduced by the local community through social capital, namely "Mardiko.” Therefore, this study aims to determine the role of social capital in managing the regional landfill area of Piyungan. This is a quantitative and qualitative research with data collected from 200 respondents comprising government officials, community leaders, groups, and community members using the purposive random sampling method. The results showed that the stronger the role of social capital in the community, the better the efforts to serve the environment and the lesser the amount of waste disposed of as residue in the Piyungan regional landfill area. In conclusion, the social capital conducted by the community plays a significant role in managing the environment and reduces waste by 20%
Promoting Spatial Partnership and Community Perception for the Preservation of Orang Kayo Hitam Grand Forest Park (GFP) in Jambi Province, Indonesia
The Orang Kayo Hitam Grand Forest Park is located in Jambi Province, Indonesia, and is currently threatened by illegal logging and natural fire forest that has burned 7,984.78 hectares. Therefore, this research aims to improve community perceptions of the conservation function of the Orang Kayo Hitam. This can be achieved by providing conservation books on the Orang Kayo Hitam to the community, creating a demonstration video, and increasing community income through a partnership pattern by planting in utilization zones. The non-parametric statistical difference T-test was used, which involved a survey and training approach on 93 households living near the Grand Forest Park. This method was used to assess changes in the perception of the community after reading books, watching videos, and collaborating on counseling. The results showed that the perception of the community changed significantly after receiving knowledge from books and watching videos about the Grand Forest Park. There was also a shift in public perception regarding the use of the conservation zone at the Grand Forest Park location via collaboration counseling
Two Threshold Smart Irrigation System for Increasing Crop Yield
The objective of this research is to create an automated irrigation system using two threshold method for rice farming in the Jorolot irrigation area, Cimahi City, West Java Province, Indonesia, which addresses the problem of fluctuating water supply. This issue includes water deficits during the dry season, which threatens rice growth, and excess water during the rainy season, leading to flooding and crop destruction. The method used includes one-dimensional hydraulic modeling of irrigation channels to determine two threshold of channel water level elevation, as well as water availability quantification based on flood, normal, and dry clusters. Furthermore, the system's design involved utilizing the Decision Supporting System (DSS) data communication to monitor and respond to dry or flood events in real time, thereby increasing the system's overall performance. The Jorolot irrigation area, which covers 15.5 hectares, sources its water from the Jorolot Dam, with a primary channel length of 1135 m and a secondary channel length of 536 m. The results showed that the water level in the primary canal for normal conditions is 0.1 m<Ynp<0.6 m. Additionally, the proposed system, which allows for real-time water supply monitoring, can increase rice production from two to three harvests per year.