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
{"title":"Two Threshold Smart Irrigation System for Increasing Crop Yield","authors":"A. B. Safarina, I. Karnisah, K. Kusnandar","doi":"10.22146/ijg.77862","DOIUrl":"https://doi.org/10.22146/ijg.77862","url":null,"abstract":"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. ","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41903476","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 research investigated culturally-generated abilities and skills in the frame of human adaptation and environmental education. Under qualitative approach, this research implemented phenomenological research method that seek to understand the situation that occurs locally to certain group. Data collection was done through observation and interview with four key informants involving indigenous community leaders, community members, and formal education practitioner. Additional informants were taken from snowball sampling technique from whose accounts were elaborated until data saturation achieved. Validity and reliability of data were carried through member check and data triangulation. Data analysis process follow three sequential phases, namely data reduction, display, and drawing conclusion. Findings of research were grouped into three sections, namely a) cultural ecology of Baduy indigenous community; b) environmental education based on local wisdom of Baduy people; and c) pedagogical experience on local wisdom-based learning.
{"title":"Cultural Ecology and Environmental Education: Lesson Learned from Baduy Indigenous Community","authors":"B. Waluya, E. Malihah, M. Ruhimat, E. Wiyanarti","doi":"10.22146/ijg.77203","DOIUrl":"https://doi.org/10.22146/ijg.77203","url":null,"abstract":"This research investigated culturally-generated abilities and skills in the frame of human adaptation and environmental education. Under qualitative approach, this research implemented phenomenological research method that seek to understand the situation that occurs locally to certain group. Data collection was done through observation and interview with four key informants involving indigenous community leaders, community members, and formal education practitioner. Additional informants were taken from snowball sampling technique from whose accounts were elaborated until data saturation achieved. Validity and reliability of data were carried through member check and data triangulation. Data analysis process follow three sequential phases, namely data reduction, display, and drawing conclusion. Findings of research were grouped into three sections, namely a) cultural ecology of Baduy indigenous community; b) environmental education based on local wisdom of Baduy people; and c) pedagogical experience on local wisdom-based learning.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48358781","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}
Ayed Taran, AbedAlhameed AlFanatseh, S. Rawashdeh, Faisal Almayouf
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.
{"title":"The Temporal and Spatial Analysis of Corona Pandemic in Jordan using the Geographic Information System: An Applied Geographical Study","authors":"Ayed Taran, AbedAlhameed AlFanatseh, S. Rawashdeh, Faisal Almayouf","doi":"10.22146/ijg.73663","DOIUrl":"https://doi.org/10.22146/ijg.73663","url":null,"abstract":"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.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41884867","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}
Norezuan Abdul Abdul Gani, N. Che Dom, Rahmat Dapari, N. Precha
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.
2019冠状病毒病大流行继续对全球公共卫生系统造成破坏，特别是在马来西亚雪兰莪州，2020年10月至2021年10月期间报告了COVID-19流行率。为了控制和预防这一已经在蔓延的流行病的蔓延，有必要了解这一疾病的空间层面。因此，本研究的目的是描述雪兰莪州的COVID-19病毒传播模式。方法:利用地理信息系统(GIS)和莫兰指数(MI)绘制新冠肺炎在整个地区的空间分布图，并进行空间统计分析，显示局部空间相关性。结果:研究结果显示，新冠肺炎疫情集中在雪兰莪州的西部和南部地区(Global Moran’s I = 0.468, p = 0.05, Z = 7.01)，为了解新冠肺炎疫情的区域分布和时间动态提供了重要信息。结论:对COVID-19的地理传播进行评估有助于加强马来西亚的医疗保健计划和资源分配，特别是COVID-19大流行的雪兰莪州。
{"title":"Spatial and Temporal Analysis of 2019 Novel Coronavirus (2019-Ncov) Cases in Selangor, Malaysia","authors":"Norezuan Abdul Abdul Gani, N. Che Dom, Rahmat Dapari, N. Precha","doi":"10.22146/ijg.73633","DOIUrl":"https://doi.org/10.22146/ijg.73633","url":null,"abstract":"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.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41352644","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}
The rapid development of computer technology today has implications for high quality educational services and resources. Meanwhile, this era of Smart Education (SE) has given a new picture that the openness and sharing of global knowledge become a top priority for the advancement of education, especially in Digital Eco-Literacy (DEL) learning. The study aims to understand in depth the role of Smart Education (SE) in supporting the development of Digital Eco-Literacy (DEL). The research method used is a qualitative technique with a review paper approach. The findings show that SE will be the key to effectively and efficiently developing DEL Learning. A positive impact on improving student achievement and the ability to understand various environmental problems with a more dynamic and innovative perspective should be considered.
{"title":"The role of Smart Education (SE) in supporting Digital Eco-Literacy (DEL) Aminah Zuhriyah","authors":"A. Zuhriyah","doi":"10.22146/ijg.74409","DOIUrl":"https://doi.org/10.22146/ijg.74409","url":null,"abstract":"The rapid development of computer technology today has implications for high quality educational services and resources. Meanwhile, this era of Smart Education (SE) has given a new picture that the openness and sharing of global knowledge become a top priority for the advancement of education, especially in Digital Eco-Literacy (DEL) learning. The study aims to understand in depth the role of Smart Education (SE) in supporting the development of Digital Eco-Literacy (DEL). The research method used is a qualitative technique with a review paper approach. The findings show that SE will be the key to effectively and efficiently developing DEL Learning. A positive impact on improving student achievement and the ability to understand various environmental problems with a more dynamic and innovative perspective should be considered.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48309347","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}
Hypertension is one type of Non-communicable Disease (NCD) that is a burden on the government in disease control every year. Hypertension is caused by various risk factors. Most of the risk factors for hypertension are lifestyles that can be changed. This study aims to determine the pattern of distribution of hypertension cases based on risk factors, social factors, health care facilities. The spatial approach was used to determine the spatial relationship between hypertension risk factors and hypertension cases in the Jakarta province. The spatial approach was used to determine the spatial relationship between hypertension risk factors and hypertension cases in the Jakarta province. The results showed that the screening program variable had a spreading pattern with a negative spatial relationship and there was a spatial interaction between the screening program variables and hypertension cases. Improving the quality and quantity of Non-communicable Disease Integrated Assistance Post activities of local health centers, which are the front line in preventive and promotive activities is expected to be the key to successful control of hypertension cases in the Jakarta.
{"title":"Spatial Distribution Pattern of Hypertension: Case of Jakarta, Indonesia","authors":"M. Makful, Yohana Septianty Isabel, V. Adrian","doi":"10.22146/ijg.72615","DOIUrl":"https://doi.org/10.22146/ijg.72615","url":null,"abstract":"Hypertension is one type of Non-communicable Disease (NCD) that is a burden on the government in disease control every year. Hypertension is caused by various risk factors. Most of the risk factors for hypertension are lifestyles that can be changed. This study aims to determine the pattern of distribution of hypertension cases based on risk factors, social factors, health care facilities. The spatial approach was used to determine the spatial relationship between hypertension risk factors and hypertension cases in the Jakarta province. The spatial approach was used to determine the spatial relationship between hypertension risk factors and hypertension cases in the Jakarta province. The results showed that the screening program variable had a spreading pattern with a negative spatial relationship and there was a spatial interaction between the screening program variables and hypertension cases. Improving the quality and quantity of Non-communicable Disease Integrated Assistance Post activities of local health centers, which are the front line in preventive and promotive activities is expected to be the key to successful control of hypertension cases in the Jakarta.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49518371","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 analyse the impact of urban sprawl on the (1) social, (2) economic, and (3) technological conditions of the population in Tamanan Village, on the outskirts of Yogyakarta City. For data collection, this survey research employed structured interviews with 40 respondents selected through multistage random sampling. It also used complementary in-depth interviews with seven (7) purposively sampled key informants to deepen the analysis. The answers from the structured interviews were analysed with descriptive statistics in the form of single-frequency tables, while the data derived from the in-depth interviews were processed using a qualitative descriptive approach. The results show that the impact of urban sprawl on the social (37.5%) and economic conditions (40%) was mostly high, while the effect on the technological conditions of the population in the study area fell mainly under the medium category (47.5%). In conclusion, the phenomenon of urban sprawl in the study area has affected the social, economic, and technological conditions of the population.
{"title":"The Impact of Urban Sprawl on the Socioeconomic Conditions of the Population in Tamanan Village, Indonesia","authors":"S. Giyarsih","doi":"10.22146/ijg.74137","DOIUrl":"https://doi.org/10.22146/ijg.74137","url":null,"abstract":"This study aimed to analyse the impact of urban sprawl on the (1) social, (2) economic, and (3) technological conditions of the population in Tamanan Village, on the outskirts of Yogyakarta City. For data collection, this survey research employed structured interviews with 40 respondents selected through multistage random sampling. It also used complementary in-depth interviews with seven (7) purposively sampled key informants to deepen the analysis. The answers from the structured interviews were analysed with descriptive statistics in the form of single-frequency tables, while the data derived from the in-depth interviews were processed using a qualitative descriptive approach. The results show that the impact of urban sprawl on the social (37.5%) and economic conditions (40%) was mostly high, while the effect on the technological conditions of the population in the study area fell mainly under the medium category (47.5%). In conclusion, the phenomenon of urban sprawl in the study area has affected the social, economic, and technological conditions of the population.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46489672","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}
T. Boonnuk, Rungkarn Inthawong, Wiraya Witoteerasan
Traffic accidents are a major and crucial problem worldwide. The development of a traffic accident simulation system applied by using a geographic information system and multiple logistic regression with clustering can provide drivers with safe routes as well as guidelines for assessing the risk points of accidents in each subdistrict. This research is based on case-control study design. The data were collected by using two types of questionnaires: a questionnaire for 35 community leaders and a questionnaire for 580 community residents based on the distance at which main routes pass through the subdistrict area. The data were analysed through multiple logistic regression with clustering, and the standardized coefficient of the selected variables was then added to the equation as a weight in the traffic accident simulation system. The results of the study indicated that 11 variables affected traffic accidents. These factors were evaluated in order to predict traffic accidents (Pseudo R square=0.5906). Standardized coefficient of variables was applied in a geographic information system to simulate traffic accidents on roads. This study was distinctive for its analysis, which examined the clusters of variables that were the subdistrict-level data, including surroundings and road conditions at the riskiest location in each subdistrict. The data were analysed based on their quality as subdistrict data clusters. The analysis results were then applied as the weight of variables used in the GIS to obtain the values appropriate to the data clusters’ quality for the GIS to properly simulate traffic accidents in each area.
{"title":"Development of a traffic accident simulation system for main roads in Loei Province, Thailand: Application of a geographic information system and multiple logistic regression with clustering","authors":"T. Boonnuk, Rungkarn Inthawong, Wiraya Witoteerasan","doi":"10.22146/ijg.77153","DOIUrl":"https://doi.org/10.22146/ijg.77153","url":null,"abstract":"Traffic accidents are a major and crucial problem worldwide. The development of a traffic accident simulation system applied by using a geographic information system and multiple logistic regression with clustering can provide drivers with safe routes as well as guidelines for assessing the risk points of accidents in each subdistrict. This research is based on case-control study design. The data were collected by using two types of questionnaires: a questionnaire for 35 community leaders and a questionnaire for 580 community residents based on the distance at which main routes pass through the subdistrict area. The data were analysed through multiple logistic regression with clustering, and the standardized coefficient of the selected variables was then added to the equation as a weight in the traffic accident simulation system. The results of the study indicated that 11 variables affected traffic accidents. These factors were evaluated in order to predict traffic accidents (Pseudo R square=0.5906). Standardized coefficient of variables was applied in a geographic information system to simulate traffic accidents on roads. This study was distinctive for its analysis, which examined the clusters of variables that were the subdistrict-level data, including surroundings and road conditions at the riskiest location in each subdistrict. The data were analysed based on their quality as subdistrict data clusters. The analysis results were then applied as the weight of variables used in the GIS to obtain the values appropriate to the data clusters’ quality for the GIS to properly simulate traffic accidents in each area.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68326370","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 research is a social study by capturing several problems in the oil and gas sector combined with literature studies that have relevant themes. This study aims to determine the social, economic, cultural and health impacts of the oil and gas company's exploration activities in the Tuban Oil and Gas Field. Data collection was in the form of primary data and secondary data in semester II of 2018. The methods used in this study were qualitative and quantitative methods. Qualitative methods taken from primary data, namely observation and interviews. Primary data were obtained through direct observation and interviews with respondents selected by purposive sampling. The quantitative method uses secondary data obtained from research documents and reports relating to government agencies and companies. Primary data and secondary data were combined and then conducted interviews to obtain deeper information using the forum group discussion (FGD) method. The final data obtained were analyzed using descriptive statistical methods. The results of the study show that there are jobs for local workers, but the information is still not transparent and most of the jobs are temporary projects. Most people know and feel the benefits of the presence of oil and gas companies in their area. The community expects the company's attention to reduce people's concerns about oil and gas activities. Conflicts often occur due to delays in the disbursement of compensation funds and the implementation of CSR, as well as several oil and gas company activities that have a direct impact on the community. The company's efforts to boost the local economy by increasing employment opportunities and increasing wage rates. Meanwhile, in terms of public health, it cannot be determined with certainty whether there is a correlation between disease and the activities of oil and gas companies. In general, oil and gas companies have a positive impact on the community around the working areas of oil and gas companies.
{"title":"Study of Socio-Economic-Cultural Impacts and Community Health Due to Oil and Natural Gas Exploration Activities in the Tuban Oil and Gas Field","authors":"Ai Siti Patimah, S. Murti, A. Prasetya","doi":"10.22146/ijg.70639","DOIUrl":"https://doi.org/10.22146/ijg.70639","url":null,"abstract":"This research is a social study by capturing several problems in the oil and gas sector combined with literature studies that have relevant themes. This study aims to determine the social, economic, cultural and health impacts of the oil and gas company's exploration activities in the Tuban Oil and Gas Field. Data collection was in the form of primary data and secondary data in semester II of 2018. The methods used in this study were qualitative and quantitative methods. Qualitative methods taken from primary data, namely observation and interviews. Primary data were obtained through direct observation and interviews with respondents selected by purposive sampling. The quantitative method uses secondary data obtained from research documents and reports relating to government agencies and companies. Primary data and secondary data were combined and then conducted interviews to obtain deeper information using the forum group discussion (FGD) method. The final data obtained were analyzed using descriptive statistical methods. The results of the study show that there are jobs for local workers, but the information is still not transparent and most of the jobs are temporary projects. Most people know and feel the benefits of the presence of oil and gas companies in their area. The community expects the company's attention to reduce people's concerns about oil and gas activities. Conflicts often occur due to delays in the disbursement of compensation funds and the implementation of CSR, as well as several oil and gas company activities that have a direct impact on the community. The company's efforts to boost the local economy by increasing employment opportunities and increasing wage rates. Meanwhile, in terms of public health, it cannot be determined with certainty whether there is a correlation between disease and the activities of oil and gas companies. In general, oil and gas companies have a positive impact on the community around the working areas of oil and gas companies.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42378095","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}
Warmer temperature than normal has been observed in the central part of Java Island-Indonesia during the monsoon transition in 2019. To explain the environmental process related to temperature variability, this research aims to characterize the process related to temperature anomaly and explain the contributing factors in terms of radiation balance and latent heat flux. This research uses the data from two meteorological stations from the Indonesian Bureau of Meteorology, Climatology, and Geophysics (BMKG) and the National Centers for Environmental Prediction (NCEP/NCAR) Reanalysis Project to explain the temperature anomaly. Several parameters, such as near-surface air temperature and humidity, cloudiness, solar and longwave radiation, as well as latent heat flux are obtained from the reanalysis data. This study focuses on descriptive time-series data analysis to explain the factors that contribute to the April 2019 temperatures. The results of this study show the effect of the Madden–Jullian Oscillation (MJO) on weather anomalies. The increase in humidity when the study area is traversed by the MJO causes an increase in humidity followed by intensive cloud formation and the release of latent heat in the cloud. The release of latent heat contributes significantly to the increase in temperature compared to the effect of the shortwave and longwave radiation balance. Thus, atmospheric phenomena in the tropics need to be studied further concerning warmer temperatures because they can be significantly affected by climate change.
{"title":"Characterizing Warm Temperature during April 2019 Monsoon Transition in the Central part of Java","authors":"A. B. Sekaranom","doi":"10.22146/ijg.75194","DOIUrl":"https://doi.org/10.22146/ijg.75194","url":null,"abstract":"Warmer temperature than normal has been observed in the central part of Java Island-Indonesia during the monsoon transition in 2019. To explain the environmental process related to temperature variability, this research aims to characterize the process related to temperature anomaly and explain the contributing factors in terms of radiation balance and latent heat flux. This research uses the data from two meteorological stations from the Indonesian Bureau of Meteorology, Climatology, and Geophysics (BMKG) and the National Centers for Environmental Prediction (NCEP/NCAR) Reanalysis Project to explain the temperature anomaly. Several parameters, such as near-surface air temperature and humidity, cloudiness, solar and longwave radiation, as well as latent heat flux are obtained from the reanalysis data. This study focuses on descriptive time-series data analysis to explain the factors that contribute to the April 2019 temperatures. The results of this study show the effect of the Madden–Jullian Oscillation (MJO) on weather anomalies. The increase in humidity when the study area is traversed by the MJO causes an increase in humidity followed by intensive cloud formation and the release of latent heat in the cloud. The release of latent heat contributes significantly to the increase in temperature compared to the effect of the shortwave and longwave radiation balance. Thus, atmospheric phenomena in the tropics need to be studied further concerning warmer temperatures because they can be significantly affected by climate change.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41505222","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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