M. Jasni, Nazirah Hassan, F. Ibrahim, M. Kamaluddin
The recurring return of homeless former prisoners to Chow Kit Road each time after being released from prison leads to various key questions. One of which: What is so interesting about Chow Kit Road that it has become a focal point for these homeless former prisoners? Their return to Chow Kit Road illustrates two big pictures, either they have no choice or they see Chow Kit Road as a suitable home for them. The repeated return of the homeless former prisoners indicated that they have developed a form of comfort and pleasure with the place. Hence, we conducted a qualitative study to understand the repetitive migration among the homeless former prisoners by interviewing 30 of them around Chow Kit Road. This study stopped the data collection process when the study's overall findings achieved data saturation. Atlas.ti software was utilised to perform the thematic coding process. This software provides a more systematic coding process. Several strategies were adopted in this study to increase the data's validity and reliability, triangulation, member check, peer review, long period in the field and audit trail. This study involved a larger qualitative sample by offering several diverse themes. Based on the findings, 11 sub-themes were grouped into 4 superordinate themes, namely social, economic and urban infrastructure, services, and personal offer factors. The social offer factor superordinate theme included sub-themes of familiarity with the environment, ease of getting drugs, and concentration of friends who are also former prisoners. Followed by the economic offer factor with the sub-theme of finding a job and easy ways to earn. The sub-themes of the urban infrastructure and service offer factor superordinate theme were access to transportation, plenty of food aid, and easy access to hospitals. While the sub-themes of the personal offer factor included wanting freedom, nowhere else to go, and bringing oneself away from family. These results added to the existing knowledge by considering migrations from chronic and marginal groups, i.e., the homeless former prisoners as study subjects.
{"title":"The experience of internal (Domestic) migration among 30 Homeless Former Prisoners in Kuala Lumpur, Malaysia","authors":"M. Jasni, Nazirah Hassan, F. Ibrahim, M. Kamaluddin","doi":"10.22146/ijg.81107","DOIUrl":"https://doi.org/10.22146/ijg.81107","url":null,"abstract":"The recurring return of homeless former prisoners to Chow Kit Road each time after being released from prison leads to various key questions. One of which: What is so interesting about Chow Kit Road that it has become a focal point for these homeless former prisoners? Their return to Chow Kit Road illustrates two big pictures, either they have no choice or they see Chow Kit Road as a suitable home for them. The repeated return of the homeless former prisoners indicated that they have developed a form of comfort and pleasure with the place. Hence, we conducted a qualitative study to understand the repetitive migration among the homeless former prisoners by interviewing 30 of them around Chow Kit Road. This study stopped the data collection process when the study's overall findings achieved data saturation. Atlas.ti software was utilised to perform the thematic coding process. This software provides a more systematic coding process. Several strategies were adopted in this study to increase the data's validity and reliability, triangulation, member check, peer review, long period in the field and audit trail. This study involved a larger qualitative sample by offering several diverse themes. Based on the findings, 11 sub-themes were grouped into 4 superordinate themes, namely social, economic and urban infrastructure, services, and personal offer factors. The social offer factor superordinate theme included sub-themes of familiarity with the environment, ease of getting drugs, and concentration of friends who are also former prisoners. Followed by the economic offer factor with the sub-theme of finding a job and easy ways to earn. The sub-themes of the urban infrastructure and service offer factor superordinate theme were access to transportation, plenty of food aid, and easy access to hospitals. While the sub-themes of the personal offer factor included wanting freedom, nowhere else to go, and bringing oneself away from family. These results added to the existing knowledge by considering migrations from chronic and marginal groups, i.e., the homeless former prisoners as study subjects.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45476961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"The COVID-19: Socioeconomic Crisis and Its Management on a Bangladeshi Coastal Island","authors":"M. A. Siddik, M. Rahman","doi":"10.22146/ijg.76730","DOIUrl":"https://doi.org/10.22146/ijg.76730","url":null,"abstract":"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.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48881723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seagrass meadows provide a variety of material, non-material and regulatory coastal ecosystem service; however, as the distribution of seagrass beds changes over time due to both anthropogenic activities and natural factors, it is important to monitor changes in seagrass condition. Seagrass meadows in Palu Bay are threatened by activities such as coastal development and land reclamation. Additionally, the bay was hit by a significant tsunami in 2018, which could have impacted ecosystems in the bay, including seagrass meadows. The aim of this study was to detect changes in seagrass extent and distribution over a 10-year period from 2012 to 2022 and changes in land use over approximately a decade (2010 and 2021) through the use of remote sensing technology. Changes in eagrass meadow areal extent were analyzed using data from a 2012 Landsat 7 Satellite Data Acquisition and a 2022 Landsat 8 Satellite Data Acquisition. Water column correction was implemented using the Lyzenga Algorithm. The results showed a significant decrease in the area of seagrass meadows around the coastal area of Palu Bay. Seagrass meadows in 2012 and 2022 covered 127.08 Ha and 87.79 Ha, respectively, indicating a decrease in extent of 43.29 Ha. As the accuracy of the satellite data classification results was 80%, the results are considered acceptable. Anthropogenic activities (mainly mining and construction related) are strongly suspected as the main drivers of this decline, while earthquake and tsunami events likely aggravated the degradation of coastal ecosystems in Palu Bay, including seagrass meadows.
{"title":"Decadal Remote Sensing Analysis of Seagrass Changes in Palu Bay, Central Sulawesi","authors":"M. Tis'in, R. Ambo-Rappe, S. Supriadi, A. Faizal","doi":"10.22146/ijg.78701","DOIUrl":"https://doi.org/10.22146/ijg.78701","url":null,"abstract":"Seagrass meadows provide a variety of material, non-material and regulatory coastal ecosystem service; however, as the distribution of seagrass beds changes over time due to both anthropogenic activities and natural factors, it is important to monitor changes in seagrass condition. Seagrass meadows in Palu Bay are threatened by activities such as coastal development and land reclamation. Additionally, the bay was hit by a significant tsunami in 2018, which could have impacted ecosystems in the bay, including seagrass meadows. The aim of this study was to detect changes in seagrass extent and distribution over a 10-year period from 2012 to 2022 and changes in land use over approximately a decade (2010 and 2021) through the use of remote sensing technology. Changes in eagrass meadow areal extent were analyzed using data from a 2012 Landsat 7 Satellite Data Acquisition and a 2022 Landsat 8 Satellite Data Acquisition. Water column correction was implemented using the Lyzenga Algorithm. The results showed a significant decrease in the area of seagrass meadows around the coastal area of Palu Bay. Seagrass meadows in 2012 and 2022 covered 127.08 Ha and 87.79 Ha, respectively, indicating a decrease in extent of 43.29 Ha. As the accuracy of the satellite data classification results was 80%, the results are considered acceptable. Anthropogenic activities (mainly mining and construction related) are strongly suspected as the main drivers of this decline, while earthquake and tsunami events likely aggravated the degradation of coastal ecosystems in Palu Bay, including seagrass meadows.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68326417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High levels of rainfall, tidal flooding, land subsidence, intensified urban development, scarce barren land and a shortage of green open spaces (GOS) are contributing factors to the persistent flooding in Jakarta. Therefore, this study was conducted to map the GOS, built-up, and barren land in the city in order to calculate the biopore infiltration hole (LRB) potential for water infiltration as part of Jakarta's flood mitigation efforts using the Landsat 8 operational land imager (OLI). The Landsat data acquired on September 11, 2019, with path/row 122/064 were processed using the Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) method for the radiometric correction, and geometric correction with a root mean square error (RMSE) of 7.57 meters. Moreover, the normalized difference vegetation index (NDVI) was applied to classify the GOS, the normalized difference built-up index (NDBI) for the built-up areas, and the normalized difference barren land index (NDBaI) for barren land areas which were further confirmed using NDBI to distinguish them from the built-up areas. It is also important to note that the LRB potential was calculated by adding the GOS and barren land, dividing the result by the ideal land area multiplied by the ideal number of holes. The results showed that the GOS, built-up area, and barren land were 8.34%, 85.29%, and 2.48%, respectively. Furthermore, the LRB potential through the optimization of GOS and barren land was found to be 70.06 km2 and produced 16,816,248 LRB (18.27% of total needed). The realization of this value is expected to reduce the potential inundation in Jakarta by 15.6%.
{"title":"Green Open Space and Barren Land Mapping for Flood Mitigation in Jakarta, the Capital of Indonesia","authors":"Retno Dammayatri, T. M. Susantoro, K. Wikantika","doi":"10.22146/ijg.76452","DOIUrl":"https://doi.org/10.22146/ijg.76452","url":null,"abstract":"High levels of rainfall, tidal flooding, land subsidence, intensified urban development, scarce barren land and a shortage of green open spaces (GOS) are contributing factors to the persistent flooding in Jakarta. Therefore, this study was conducted to map the GOS, built-up, and barren land in the city in order to calculate the biopore infiltration hole (LRB) potential for water infiltration as part of Jakarta's flood mitigation efforts using the Landsat 8 operational land imager (OLI). The Landsat data acquired on September 11, 2019, with path/row 122/064 were processed using the Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) method for the radiometric correction, and geometric correction with a root mean square error (RMSE) of 7.57 meters. Moreover, the normalized difference vegetation index (NDVI) was applied to classify the GOS, the normalized difference built-up index (NDBI) for the built-up areas, and the normalized difference barren land index (NDBaI) for barren land areas which were further confirmed using NDBI to distinguish them from the built-up areas. It is also important to note that the LRB potential was calculated by adding the GOS and barren land, dividing the result by the ideal land area multiplied by the ideal number of holes. The results showed that the GOS, built-up area, and barren land were 8.34%, 85.29%, and 2.48%, respectively. Furthermore, the LRB potential through the optimization of GOS and barren land was found to be 70.06 km2 and produced 16,816,248 LRB (18.27% of total needed). The realization of this value is expected to reduce the potential inundation in Jakarta by 15.6%.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42865258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Purwanto, Paiman Paiman, Dony Andrasmoro, Eviliyanto Eviliyanto, R. Rustam
Groundwater is one of the most valuable natural resources in Sintang, but essential basic information regarding its properties and characteristics is presently unavailable. Currently, systemic and uniform investigations, as well as groundwater potential zones mapping are yet to be conducted within the framework of basin area units to support development activities. Therefore, this study aims to identify and map groundwater potential zones using remote sensing and GIS. The employed data were obtained from drainage density, slope steepness, straightness density, total rainfall, lithology, soil type, and land use land cover. The method applied was an interpretation of secondary data, which included a) identification and evaluation of criteria, b) data collection, c) preprocessing, and e) reclassification, while the analysis technique used was a weighted overlay. The results showed that the study location has five classes of groundwater potential zones, namely highly potential, potential, moderate, non-potential, and highly non-potential with areas of 120,754.08 ha (20.62%), 220,693.71 ha (37.69%), 109,668.44 ha ( 18.73), 93,404.38 ha (15.95%), and 41,068.31 ha (7.01%), respectively. Highly potential and groundwater potential zones were identified in the central, eastern, and western parts of the Ketungau basin. In contrast, the dominant non-potential and highly non-potential zones were found along the northern basin boundary. Based on the results, remote sensing and GIS approaches are practical tools for identifying groundwater potential zones, which can be used to determine policies related to groundwater utilization.
{"title":"Identification of Groundwater Potential Zones Using Remote Sensing and GIS Technique: A Case Study of the Ketungau Basin in Sintang, West Kalimantan","authors":"A. Purwanto, Paiman Paiman, Dony Andrasmoro, Eviliyanto Eviliyanto, R. Rustam","doi":"10.22146/ijg.78629","DOIUrl":"https://doi.org/10.22146/ijg.78629","url":null,"abstract":"Groundwater is one of the most valuable natural resources in Sintang, but essential basic information regarding its properties and characteristics is presently unavailable. Currently, systemic and uniform investigations, as well as groundwater potential zones mapping are yet to be conducted within the framework of basin area units to support development activities. Therefore, this study aims to identify and map groundwater potential zones using remote sensing and GIS. The employed data were obtained from drainage density, slope steepness, straightness density, total rainfall, lithology, soil type, and land use land cover. The method applied was an interpretation of secondary data, which included a) identification and evaluation of criteria, b) data collection, c) preprocessing, and e) reclassification, while the analysis technique used was a weighted overlay. The results showed that the study location has five classes of groundwater potential zones, namely highly potential, potential, moderate, non-potential, and highly non-potential with areas of 120,754.08 ha (20.62%), 220,693.71 ha (37.69%), 109,668.44 ha ( 18.73), 93,404.38 ha (15.95%), and 41,068.31 ha (7.01%), respectively. Highly potential and groundwater potential zones were identified in the central, eastern, and western parts of the Ketungau basin. In contrast, the dominant non-potential and highly non-potential zones were found along the northern basin boundary. Based on the results, remote sensing and GIS approaches are practical tools for identifying groundwater potential zones, which can be used to determine policies related to groundwater utilization.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47886567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rustam E. Yuningtyas Setyawati Ajun Purwanto, Dony Maria T. S. Budiastuti Eviliyanto, M. W. Andrasmoro, P. Setyono
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%.
{"title":"The Contribution of Community Social Capital in Resolving the Environment: Case Study in Regional Landfill Area of Piyungan, Yogyakarta, Indonesia","authors":"Rustam E. Yuningtyas Setyawati Ajun Purwanto, Dony Maria T. S. Budiastuti Eviliyanto, M. W. Andrasmoro, P. Setyono","doi":"10.22146/ijg.79779","DOIUrl":"https://doi.org/10.22146/ijg.79779","url":null,"abstract":" 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%.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41912706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Anggraheni, F. Zulkarnain, Pranita Giardini, K. Maulidina, B. Purbantoro, Raisya Afifah, A. Muchlis, S. Siswanto, A. Rustanto, M. Dimyati, Ahmad Zubair, T. Nurlambang, R. Dewanti, I. P. Ash-Shidiq, I. Susanti
Evapotranspiration is an essential part of water availability analysis and crop water needs that are useful to estimate irrigation water demand. Since discharge measurement stations are limited, the analysis of water availability is the most important part of water management planning. Citarum watershed is the biggest watershed in West Java, supplies raw water to Jakarta, the capital city of Indonesia. Modified Penman is the common equation to analyze evapotranspiration, which was developed by Food and Agriculture Organization (FAO) and modified for tropical areas. Evapotranspiration is one term of the water balance equation. To determine water losses, it is necessary to solve this equation. Another source of evapotranspiration data is provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite's standard product, MOD16A2. In order to used the evapotranspiration satelilite data to fullfill the lack of groud station data, the reliability of satelite data is needed. The objective of this study is to compares and analyzes the reliability of satellite evapotranspiration potential images with the numerical Modified Penman method at Citarum Watershed. Modified Penman is one of several methods that calculate the evapotranspiration potential based on climate data. MOD16A2 was used for simulation data, and Modified Penman was used for baseline data. The reliability of the two simulations was analyzed by the skewness percentage of each pixel and period. The distribution of percent skewness indicates the performance of satellite evapotranspiration on the Modified Penman that represents the actual condition. The sensitivity of satellites is greatly affected by local weather conditions.
{"title":"Assessing the Reliability of Satellite-Derived Evapotranspiration Data Using Numerical Modified Penman Method at Citarum Watershed","authors":"E. Anggraheni, F. Zulkarnain, Pranita Giardini, K. Maulidina, B. Purbantoro, Raisya Afifah, A. Muchlis, S. Siswanto, A. Rustanto, M. Dimyati, Ahmad Zubair, T. Nurlambang, R. Dewanti, I. P. Ash-Shidiq, I. Susanti","doi":"10.22146/ijg.77725","DOIUrl":"https://doi.org/10.22146/ijg.77725","url":null,"abstract":"Evapotranspiration is an essential part of water availability analysis and crop water needs that are useful to estimate irrigation water demand. Since discharge measurement stations are limited, the analysis of water availability is the most important part of water management planning. Citarum watershed is the biggest watershed in West Java, supplies raw water to Jakarta, the capital city of Indonesia. Modified Penman is the common equation to analyze evapotranspiration, which was developed by Food and Agriculture Organization (FAO) and modified for tropical areas. Evapotranspiration is one term of the water balance equation. To determine water losses, it is necessary to solve this equation. Another source of evapotranspiration data is provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite's standard product, MOD16A2. In order to used the evapotranspiration satelilite data to fullfill the lack of groud station data, the reliability of satelite data is needed. The objective of this study is to compares and analyzes the reliability of satellite evapotranspiration potential images with the numerical Modified Penman method at Citarum Watershed. Modified Penman is one of several methods that calculate the evapotranspiration potential based on climate data. MOD16A2 was used for simulation data, and Modified Penman was used for baseline data. The reliability of the two simulations was analyzed by the skewness percentage of each pixel and period. The distribution of percent skewness indicates the performance of satellite evapotranspiration on the Modified Penman that represents the actual condition. The sensitivity of satellites is greatly affected by local weather conditions.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41960611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
U. C. N. Litasari, W. Widiatmaka, K. Munibah, M. Machfud, H. Effendi
The focus on the growth of modern retail has become increasingly important due to several generated externalities. Therefore, this research aimed to identify spatial distributional pattern of modern retail in order to implement precise policies. Data were obtained from The Department of Licensing Service of Yogyakarta City and supplemented with observation through Google Maps. The global pattern was analyzed using the Moran Index (Moran’s I), while the spatial pattern was evaluated using Local Indicators of Spatial Association (LISA). The analysis resulted in a significant cluster pattern for small and big-scale modern retail. The LISA analysis indicated the existence of agglomeration in the suburban area, which was the urban growth area with a high-high (HH) cluster of both small and big-scale modern retail in exact locations. In conclusion, agglomeration in the suburban area was of great concern for policymakers due to the possibility of conflicts.
{"title":"Spatial Distribution of Small and Big-Scale Modern Retail Through the Growth of Yogyakarta Urbanized Area","authors":"U. C. N. Litasari, W. Widiatmaka, K. Munibah, M. Machfud, H. Effendi","doi":"10.22146/ijg.67237","DOIUrl":"https://doi.org/10.22146/ijg.67237","url":null,"abstract":"The focus on the growth of modern retail has become increasingly important due to several generated externalities. Therefore, this research aimed to identify spatial distributional pattern of modern retail in order to implement precise policies. Data were obtained from The Department of Licensing Service of Yogyakarta City and supplemented with observation through Google Maps. The global pattern was analyzed using the Moran Index (Moran’s I), while the spatial pattern was evaluated using Local Indicators of Spatial Association (LISA). The analysis resulted in a significant cluster pattern for small and big-scale modern retail. The LISA analysis indicated the existence of agglomeration in the suburban area, which was the urban growth area with a high-high (HH) cluster of both small and big-scale modern retail in exact locations. In conclusion, agglomeration in the suburban area was of great concern for policymakers due to the possibility of conflicts. ","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45725943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Aldazhanova, Z. Mustafayev, A.B. Tuletayev, Irina Skorintseva, Amanzhol Kuderin
To increase the level of management efficiency in the agricultural sector of the economy, it is necessary to ensure the implementation of the sustainable environmental management principles, taking into account the spatial patterns of climate change and bioclimatic potential of the territory. The assessment of natural moisture availability of the natural areas of the Turkestan region of the Republic of Kazakhstan for 1941-2020 (by providing a comparative analysis of indicators for 1941-1960 and 2001-2020) was conducted based on the use of the natural moisture coefficient and hydrothermal index or "dryness index" predicated on energy resources (total of biologically active air temperatures above 10°С, photosynthetically active radiation, evaporating capacity and water consumption of agricultural land). The conducted survey has used the proven domestic, international and proprietary methods according to estimates of natural water availability in the natural areas. The results of a comparative analysis of climatic indices changes in the natural areas of the Turkestan region (by sixteen weather bureau stations) for 1941 to 2020 have shown that there is an increase in average annual air temperatures in all natural areas, and the annual precipitation tends downward which affects the formation of energy resources and natural water supply. The identified features of changes in the natural moisture coefficient and hydrothermal index or "dryness index" in natural area of Turkestan region, make it possible to adjust the spread of its boundaries and consider these changes in the territorial organization of agricultural nature management.
{"title":"Assessment of Natural Moisture Availability of Turkestan Region of the Republic of Kazakhstan","authors":"G. Aldazhanova, Z. Mustafayev, A.B. Tuletayev, Irina Skorintseva, Amanzhol Kuderin","doi":"10.22146/ijg.79703","DOIUrl":"https://doi.org/10.22146/ijg.79703","url":null,"abstract":"To increase the level of management efficiency in the agricultural sector of the economy, it is necessary to ensure the implementation of the sustainable environmental management principles, taking into account the spatial patterns of climate change and bioclimatic potential of the territory. The assessment of natural moisture availability of the natural areas of the Turkestan region of the Republic of Kazakhstan for 1941-2020 (by providing a comparative analysis of indicators for 1941-1960 and 2001-2020) was conducted based on the use of the natural moisture coefficient and hydrothermal index or \"dryness index\" predicated on energy resources (total of biologically active air temperatures above 10°С, photosynthetically active radiation, evaporating capacity and water consumption of agricultural land). The conducted survey has used the proven domestic, international and proprietary methods according to estimates of natural water availability in the natural areas. The results of a comparative analysis of climatic indices changes in the natural areas of the Turkestan region (by sixteen weather bureau stations) for 1941 to 2020 have shown that there is an increase in average annual air temperatures in all natural areas, and the annual precipitation tends downward which affects the formation of energy resources and natural water supply. The identified features of changes in the natural moisture coefficient and hydrothermal index or \"dryness index\" in natural area of Turkestan region, make it possible to adjust the spread of its boundaries and consider these changes in the territorial organization of agricultural nature management.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48674413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. A. Susianti, I. Riyanto, N. Ismayuni, Raden Ludhang Pradipta Rizki, A. Cahyadi
Distribution and spatial analysis of public healthcare in Indonesia are rarely discussed. Most of the research tell about quantity and quality which do not mention the spatial aspect. This research purposes to know the relationship between health facilities selection and geographic conditions by combining medical facilites data, number of doctor and spatial analysis approach. The selected study areas are referral health facilities chosen by DHF (Dengue Hemorrhagic Fever) patients in Purwosari District, Gunungkidul Regency. Information was collected by interviews and field measurements (altitude and location plotting) and also secondary data collection (hospital accreditation data, number of doctors, and number of beds). GPS, Altimeter, ArcGIS, and SPSS used for data collection and analysis. The spatial analysis method in this research were kernel density, buffer, ruler, and altitude of each facility. Meanwhile, the medical analysis approach used Pearsons' correlation and multinomial logistic regression in SPSS. The results of the spatial analysis show that the DHF patients in Purwosari dominantly choose health facilities in Bantul Regency because of having closer distance, relatively short travel time, lower elevation, and many health facilities centers. At the same time, Puskesmas Purwosari (Sub-district level Health center) was only chosen as an early reference and a place for treating mild dengue patients. In addition, distance, duration of travel time, and the number of doctors had a strong correlation based on the Pearson's correlation. These three variables have the greatest linear relationship with the response variable. Meanwhile, some variables; elevation, number of doctors, accreditation, and number of beds were considered by patients in choosing a hospital based on multinomial logistic regression analysis.
{"title":"Geographic Accessibility to Primary Healthcare: Study Case Dengue Fever in Purwosari Sub-District, Gunungkidul Regency, Yogyakarta, Indonesia","authors":"N. A. Susianti, I. Riyanto, N. Ismayuni, Raden Ludhang Pradipta Rizki, A. Cahyadi","doi":"10.22146/ijg.64967","DOIUrl":"https://doi.org/10.22146/ijg.64967","url":null,"abstract":"Distribution and spatial analysis of public healthcare in Indonesia are rarely discussed. Most of the research tell about quantity and quality which do not mention the spatial aspect. This research purposes to know the relationship between health facilities selection and geographic conditions by combining medical facilites data, number of doctor and spatial analysis approach. The selected study areas are referral health facilities chosen by DHF (Dengue Hemorrhagic Fever) patients in Purwosari District, Gunungkidul Regency. Information was collected by interviews and field measurements (altitude and location plotting) and also secondary data collection (hospital accreditation data, number of doctors, and number of beds). GPS, Altimeter, ArcGIS, and SPSS used for data collection and analysis. The spatial analysis method in this research were kernel density, buffer, ruler, and altitude of each facility. Meanwhile, the medical analysis approach used Pearsons' correlation and multinomial logistic regression in SPSS. The results of the spatial analysis show that the DHF patients in Purwosari dominantly choose health facilities in Bantul Regency because of having closer distance, relatively short travel time, lower elevation, and many health facilities centers. At the same time, Puskesmas Purwosari (Sub-district level Health center) was only chosen as an early reference and a place for treating mild dengue patients. In addition, distance, duration of travel time, and the number of doctors had a strong correlation based on the Pearson's correlation. These three variables have the greatest linear relationship with the response variable. Meanwhile, some variables; elevation, number of doctors, accreditation, and number of beds were considered by patients in choosing a hospital based on multinomial logistic regression analysis.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46918282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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