Pub Date : 2021-01-01DOI: 10.23917/forgeo.v35i1.12367
D. A. Lestari, N. S. Fitriasari, Taufiq Ejaz Ahmad, Amien Rais, D. R. Azhari
Pandeglang Regency is an area that has the potentiel to be hit by tsunamis. The plate subduction paths of Indo-Australia and Anak Krakatau Volcano make Pandeglang Regency a region with a high tsunami potential. One step that can be taken to overcome and minimize losses is to do spatial planning to protect it against potential tsunami damage. This research aimed to evaluate the spatial area of Pandeglang Regency based on the identification of potential tsunami hazards. The concept of modelling the tsunami inundation height developed by Berryman and based on Head Regulation No.4 of 2012 of the Indonesian National Board for Disaster Management has been used to identify potential tsunami hazards. The modelling was carried out by calculating the potential distribution of tsunami wave heights in coastal areas. Three scenarios were used to estimate the distribution. The results showed that the first scenario predicted a maximum tsunami height of 7.5 meters above sea level with the furthest tsunami inundation reaching 1,700.12 meters. Second scenario predicted maximum height of 15 meters, with the furthest tsunami inundation reaching 3,384.62 meters. Meanwhile, the last scenario was able to predict a height of 20 meters and showed the furthest tsunami inundation reaching 5.155,11 meters. These results proved that in all scenarios, the widest inundation would occur in Panimbang Regency. This is due to the relatively small variations in roughness and slope of the surface. The same condition also occurs in the last two scenarios, in which Sumur District was the area most ffected. Therefore, the spatial plan of Pandeglang Regency needs to be evaluated and the function of residential area changed to reduce and prevent large losses.
{"title":"Spatial Analysis on Tsunami Predictions in Pandeglang Regency","authors":"D. A. Lestari, N. S. Fitriasari, Taufiq Ejaz Ahmad, Amien Rais, D. R. Azhari","doi":"10.23917/forgeo.v35i1.12367","DOIUrl":"https://doi.org/10.23917/forgeo.v35i1.12367","url":null,"abstract":"Pandeglang Regency is an area that has the potentiel to be hit by tsunamis. The plate subduction paths of Indo-Australia and Anak Krakatau Volcano make Pandeglang Regency a region with a high tsunami potential. One step that can be taken to overcome and minimize losses is to do spatial planning to protect it against potential tsunami damage. This research aimed to evaluate the spatial area of Pandeglang Regency based on the identification of potential tsunami hazards. The concept of modelling the tsunami inundation height developed by Berryman and based on Head Regulation No.4 of 2012 of the Indonesian National Board for Disaster Management has been used to identify potential tsunami hazards. The modelling was carried out by calculating the potential distribution of tsunami wave heights in coastal areas. Three scenarios were used to estimate the distribution. The results showed that the first scenario predicted a maximum tsunami height of 7.5 meters above sea level with the furthest tsunami inundation reaching 1,700.12 meters. Second scenario predicted maximum height of 15 meters, with the furthest tsunami inundation reaching 3,384.62 meters. Meanwhile, the last scenario was able to predict a height of 20 meters and showed the furthest tsunami inundation reaching 5.155,11 meters. These results proved that in all scenarios, the widest inundation would occur in Panimbang Regency. This is due to the relatively small variations in roughness and slope of the surface. The same condition also occurs in the last two scenarios, in which Sumur District was the area most ffected. Therefore, the spatial plan of Pandeglang Regency needs to be evaluated and the function of residential area changed to reduce and prevent large losses.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83783195","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}
Pub Date : 2020-12-31DOI: 10.23917/forgeo.v34i2.12131
D. R. Hizbaron, R. Lukafiardi, Christina Aprilianti, R. Jati
Indonesia is home to many cultural heritages which are exposed to natural disaster, its number has grown by 400% within the years of 1975-2010. In order to protect the cultural heritages, the national government released InaRisk – a web based geospatial data to identify risk information. This application, however, not fully apprises its users of the potential loss that cultural heritage objects, especially temples, may sustain. For these reasons, the research set out to evaluate the potential loss of temples by making use of disaster vulnerability and risk approaches. Seven temples were exposed to earthquake and landslide hazards; hence, observed as the research object on a micro-scale. The research method combined tabular, spatial, and temporal data of several indicators, namely types of building materials, building’s structural integrity after earthquakes and landslides, the number of salvageable objects, building age, significance, historical value, and the number of visitors. The results showed that Prambanan and Sewu Temples had the most substantial amounts of potential losses incurred from damages to at-risk elements, namely the numbers of visitors, employees, and supporting facilities and their distances to sources of hazards. Assessing the numerical values of losses requires further improvements in accuracy as it has not thoroughly factored in the significance of the temples, which is composed of historical value, building age, number of visitors, and other components. Valuation of this significance is still limited to currently available data, including the price of the constituent rocks, area and volume, and supporting facilities.
{"title":"Utilizing Vulnerability and Risk Indexes for Cultural Heritage in Yogyakarta and Central Java","authors":"D. R. Hizbaron, R. Lukafiardi, Christina Aprilianti, R. Jati","doi":"10.23917/forgeo.v34i2.12131","DOIUrl":"https://doi.org/10.23917/forgeo.v34i2.12131","url":null,"abstract":"Indonesia is home to many cultural heritages which are exposed to natural disaster, its number has grown by 400% within the years of 1975-2010. In order to protect the cultural heritages, the national government released InaRisk – a web based geospatial data to identify risk information. This application, however, not fully apprises its users of the potential loss that cultural heritage objects, especially temples, may sustain. For these reasons, the research set out to evaluate the potential loss of temples by making use of disaster vulnerability and risk approaches. Seven temples were exposed to earthquake and landslide hazards; hence, observed as the research object on a micro-scale. The research method combined tabular, spatial, and temporal data of several indicators, namely types of building materials, building’s structural integrity after earthquakes and landslides, the number of salvageable objects, building age, significance, historical value, and the number of visitors. The results showed that Prambanan and Sewu Temples had the most substantial amounts of potential losses incurred from damages to at-risk elements, namely the numbers of visitors, employees, and supporting facilities and their distances to sources of hazards. Assessing the numerical values of losses requires further improvements in accuracy as it has not thoroughly factored in the significance of the temples, which is composed of historical value, building age, number of visitors, and other components. Valuation of this significance is still limited to currently available data, including the price of the constituent rocks, area and volume, and supporting facilities.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80437150","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}
Pub Date : 2020-12-14DOI: 10.23917/forgeo.v34i2.12366
Bahagia Bahagia, Bambang Hudayana, Rimun Wibowo, Z. Anna
Local wisdom can be interpreted as principles of life, behaviour, rules, and punishments, as well as a view of life that regulate life, so that it can regulate and managing natural resources in the natural, social, and economic environments. Even local knowledge have adapted to environment obstacle. This research aims to investigate traditionally local knowledge for confronting Covid-19 pandemic. The method used is qualitative with an ethnography approach and literature review. Data are collected through in-depth interviews with leaders of Urug and Cipatat Kolot societies. In order to investigate Baduy and Ciptagelar communities used a literature review. Data are supported by documentation and observation sources. The sample is selected using a purposive sampling technique. The result is analysed through triangulation, which is by mixing some gathered data methods. The result is that Urug society allocates rice each year from their paddy yields to the vulnerable groups such as orphans, elderlies, widows, and persons need most. Secondly, collective action is used to jump the capacity of people like women through nujuh bulanan. Thirdly, societies exert taboo to combat disaster and Covid-19, including by prohibiting community from trading paddies and rice. Another finding is that indigenous knowledge uses some life strategies and utilizes natural capital optimally for overcoming life perturbances. The last finding is that local knowledge has preserved agriculture jobs as a venue to survive.
{"title":"Local Wisdom to Overcome Covid-19 Pandemic of Urug and Cipatat Kolot Societies in Bogor, West Java, Indonesia","authors":"Bahagia Bahagia, Bambang Hudayana, Rimun Wibowo, Z. Anna","doi":"10.23917/forgeo.v34i2.12366","DOIUrl":"https://doi.org/10.23917/forgeo.v34i2.12366","url":null,"abstract":"Local wisdom can be interpreted as principles of life, behaviour, rules, and punishments, as well as a view of life that regulate life, so that it can regulate and managing natural resources in the natural, social, and economic environments. Even local knowledge have adapted to environment obstacle. This research aims to investigate traditionally local knowledge for confronting Covid-19 pandemic. The method used is qualitative with an ethnography approach and literature review. Data are collected through in-depth interviews with leaders of Urug and Cipatat Kolot societies. In order to investigate Baduy and Ciptagelar communities used a literature review. Data are supported by documentation and observation sources. The sample is selected using a purposive sampling technique. The result is analysed through triangulation, which is by mixing some gathered data methods. The result is that Urug society allocates rice each year from their paddy yields to the vulnerable groups such as orphans, elderlies, widows, and persons need most. Secondly, collective action is used to jump the capacity of people like women through nujuh bulanan. Thirdly, societies exert taboo to combat disaster and Covid-19, including by prohibiting community from trading paddies and rice. Another finding is that indigenous knowledge uses some life strategies and utilizes natural capital optimally for overcoming life perturbances. The last finding is that local knowledge has preserved agriculture jobs as a venue to survive.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80860105","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}
Pub Date : 2020-12-12DOI: 10.23917/forgeo.v34i2.10667
R. Hutauruk, S. Alfiandy, Hermanto Asima Nainggolan, Mas Harya Fitra Yudo Raharjo
Central Sulawesi is the largest province on the Sulawesi island with a dominant sloping topographic condition and has a variety of soil types, flow density, land use and rainfall that makes this region vulnerable to flooding. Flooding is a hydrometeorological disaster that will adversely affect aspects of human life such as social and economic activities in an area because it can cause environmental damage, casualties and disrupt economic activity. Because of its enormous impact, the purpose of this research study is to find out areas in the province of Central Sulawesi that are suscept to flooding. The method used in this research study is scoring the classification of flood hazard parameters such as slope level, elevation, soil type, rainfall, land use and flow density which are then overlay using ArcGis 10.2.2. The results obtained that the province of Central Sulawesi has three categories of areas suscept to flooding with a low category 6630.3 km2, moderate 46081.9 km2 and high category 7104.7 km2. Based on the results and discussion, it can be concluded that Central Sulawesi province has a dominant level of vulnerability which is moderate.
{"title":"GIS-based Flood Susceptibility Mapping Using Overlay Method in Central Sulawesi","authors":"R. Hutauruk, S. Alfiandy, Hermanto Asima Nainggolan, Mas Harya Fitra Yudo Raharjo","doi":"10.23917/forgeo.v34i2.10667","DOIUrl":"https://doi.org/10.23917/forgeo.v34i2.10667","url":null,"abstract":"Central Sulawesi is the largest province on the Sulawesi island with a dominant sloping topographic condition and has a variety of soil types, flow density, land use and rainfall that makes this region vulnerable to flooding. Flooding is a hydrometeorological disaster that will adversely affect aspects of human life such as social and economic activities in an area because it can cause environmental damage, casualties and disrupt economic activity. Because of its enormous impact, the purpose of this research study is to find out areas in the province of Central Sulawesi that are suscept to flooding. The method used in this research study is scoring the classification of flood hazard parameters such as slope level, elevation, soil type, rainfall, land use and flow density which are then overlay using ArcGis 10.2.2. The results obtained that the province of Central Sulawesi has three categories of areas suscept to flooding with a low category 6630.3 km2, moderate 46081.9 km2 and high category 7104.7 km2. Based on the results and discussion, it can be concluded that Central Sulawesi province has a dominant level of vulnerability which is moderate.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82390857","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}
Pub Date : 2020-06-19DOI: 10.23917/forgeo.v34i1.10582
A. Sejati, Ahmad Tarmidzi Abd Karim, A. Tanjung
Kendari is the capital of the Indonesian province of Southeast Sulawesi. It is located on mainly the karst hills region with high rainfall and there were numerous human activities on the karst hills. Many landslides have occurred in these areas. Natural and human factors may contribute to the landslide. The purpose of this study was to determine whether the present GIS map of landslide-prone areas was in agreement or compatible when compared to the actual site conditions in Kendari City. This research is mainly a regional survey. Data was collected through direct interview and observation at the sites. Data were analyzed quantitatively with percentages. The results showed that 87.4% of the area in Kendari City as shown in the map of landslide-prone distribution using GIS was included in the low risk or slightly vulnerable category. The category of landslide-prone areas was divided into; Very low risk, Low, Medium, High risk and Very high risk which represents the less vulnerable areas to the very vulnerable areas. The level of compatibility of landslide-prone maps in Kendari City, when compared with actual site conditions, reaches 75%. This shows that the map of the GIS spatial analysis can be used as a guide in mapping the level of landslide vulnerability in Kendari City. Landslide-prone map may be used as a guideline for engineers, designers, planners, and city officials in planning to reduce the risk of potential disaster.
{"title":"The Compatibility of a GIS Map of Landslide-Prone Areas in Kendari City Southeast Sulawesi with Actual Site Conditions","authors":"A. Sejati, Ahmad Tarmidzi Abd Karim, A. Tanjung","doi":"10.23917/forgeo.v34i1.10582","DOIUrl":"https://doi.org/10.23917/forgeo.v34i1.10582","url":null,"abstract":"Kendari is the capital of the Indonesian province of Southeast Sulawesi. It is located on mainly the karst hills region with high rainfall and there were numerous human activities on the karst hills. Many landslides have occurred in these areas. Natural and human factors may contribute to the landslide. The purpose of this study was to determine whether the present GIS map of landslide-prone areas was in agreement or compatible when compared to the actual site conditions in Kendari City. This research is mainly a regional survey. Data was collected through direct interview and observation at the sites. Data were analyzed quantitatively with percentages. The results showed that 87.4% of the area in Kendari City as shown in the map of landslide-prone distribution using GIS was included in the low risk or slightly vulnerable category. The category of landslide-prone areas was divided into; Very low risk, Low, Medium, High risk and Very high risk which represents the less vulnerable areas to the very vulnerable areas. The level of compatibility of landslide-prone maps in Kendari City, when compared with actual site conditions, reaches 75%. This shows that the map of the GIS spatial analysis can be used as a guide in mapping the level of landslide vulnerability in Kendari City. Landslide-prone map may be used as a guideline for engineers, designers, planners, and city officials in planning to reduce the risk of potential disaster.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88636004","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}
Pub Date : 2020-05-27DOI: 10.23917/forgeo.v34i1.10862
H. Z. Hadibasyir, S. S. Rijal, D. R. Sari
Coronavirus disease (COVID-19) was firstly identified in Wuhan, China. By 23rd January 2020, China’s Government made a decision to execute lockdown policy in Wuhan due to the rapid transmission of COVID-19. It is essential to investigate the land surface temperature (LST) dynamics due to changes in level of anthropogenic activities. Therefore, this study aims (1) to investigate mean LST differences between during, i.e., December 2019 to early March 2020, and before the emergence of COVID-19 in Wuhan; (2) to conduct spatio-temporal analysis of mean LST with regards to lockdown policy; and (3) to examine mean LST differences for each land cover type. MODIS data consist of MOD11A2 and MCD12Q1 were employed. The results showed that during the emergence of COVID-19 with lockdown policy applied, the mean LST was lower than the mean LST of the past three years on the same dates. Whereas, during the emergence of COVID-19 without lockdown policy applied, the mean LST was relatively higher than the mean LST of the past three years. In addition, the mean LST of built-up areas experienced the most significant differences between during the emergence of COVID-19 with lockdown policy applied in comparison to the average of the past three years.
{"title":"Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China","authors":"H. Z. Hadibasyir, S. S. Rijal, D. R. Sari","doi":"10.23917/forgeo.v34i1.10862","DOIUrl":"https://doi.org/10.23917/forgeo.v34i1.10862","url":null,"abstract":"Coronavirus disease (COVID-19) was firstly identified in Wuhan, China. By 23rd January 2020, China’s Government made a decision to execute lockdown policy in Wuhan due to the rapid transmission of COVID-19. It is essential to investigate the land surface temperature (LST) dynamics due to changes in level of anthropogenic activities. Therefore, this study aims (1) to investigate mean LST differences between during, i.e., December 2019 to early March 2020, and before the emergence of COVID-19 in Wuhan; (2) to conduct spatio-temporal analysis of mean LST with regards to lockdown policy; and (3) to examine mean LST differences for each land cover type. MODIS data consist of MOD11A2 and MCD12Q1 were employed. The results showed that during the emergence of COVID-19 with lockdown policy applied, the mean LST was lower than the mean LST of the past three years on the same dates. Whereas, during the emergence of COVID-19 without lockdown policy applied, the mean LST was relatively higher than the mean LST of the past three years. In addition, the mean LST of built-up areas experienced the most significant differences between during the emergence of COVID-19 with lockdown policy applied in comparison to the average of the past three years.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81390678","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}
Pub Date : 2019-12-27DOI: 10.23917/FORGEO.V33I2.9179
I. N. Hidayati, R. Suharyadi
Impervious surface is one of the major land cover types of urban and suburban environment. Conversion of rural landscapes and vegetation area to urban and suburban land use is directly related to the increase of the impervious surface area. The impervious surface expansion is straight-lined with decreasing green spaces in urban areas. Impervious surface is one of indicator for detecting urban heat islands. This study compares various indices for mapping impervious surfaces using Landsat 8 OLI imagery by optimizing the different spectral characteristics of Landsat 8 OLI imagery. The research objectives are (1) to apply various indices for impervious surface mapping and (2) identifies impervious surfaces in urban areas based on multiple indices and provide recommendations and find the best index for mapping impervious surface in urban areas. In addition to utilizing the index, land use supervised classification method, maximum likelihood classification used for extracting built-up, and non-built-up areas. Accuracy assessment of this research used field data collection as primary data for calculating kappa coefficient, producer accuracy, and user accuracy. The study can also be extended to find the land surface temperature and correlate the impervious surface extraction data with urban heat islands.
{"title":"A Comparative Study of various Indices for extraction urban impervious surface of Landsat 8 OLI","authors":"I. N. Hidayati, R. Suharyadi","doi":"10.23917/FORGEO.V33I2.9179","DOIUrl":"https://doi.org/10.23917/FORGEO.V33I2.9179","url":null,"abstract":"Impervious surface is one of the major land cover types of urban and suburban environment. Conversion of rural landscapes and vegetation area to urban and suburban land use is directly related to the increase of the impervious surface area. The impervious surface expansion is straight-lined with decreasing green spaces in urban areas. Impervious surface is one of indicator for detecting urban heat islands. This study compares various indices for mapping impervious surfaces using Landsat 8 OLI imagery by optimizing the different spectral characteristics of Landsat 8 OLI imagery. The research objectives are (1) to apply various indices for impervious surface mapping and (2) identifies impervious surfaces in urban areas based on multiple indices and provide recommendations and find the best index for mapping impervious surface in urban areas. In addition to utilizing the index, land use supervised classification method, maximum likelihood classification used for extracting built-up, and non-built-up areas. Accuracy assessment of this research used field data collection as primary data for calculating kappa coefficient, producer accuracy, and user accuracy. The study can also be extended to find the land surface temperature and correlate the impervious surface extraction data with urban heat islands.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75414334","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}
Pub Date : 2019-08-16DOI: 10.23917/FORGEO.V33I1.7332
Sugi Haryanto, M. Aidi, A. Djuraidah
The construction sector is one of the sectors that have strategic value in the national economy. Economic activity in an area is measured using the Gross Regional Domestic Product (GRDP). The development of economic activities in the construction sector can be seen from the GRDP of the construction sector. The Geographically and Temporally Weighted Regression (GTWR) model is a development of the Geographically Weighted Regression (GWR) model taking into account the diversity of locations and times. This study used secondary data, namely the data of GRDP the construction sector as a response variable and four explanatory variables, namely the number of population, local revenue, area, and the number of construction establishments. The purpose of this study is to determine the factors that influence each regency/municipality and each year observing the GRDP of the construction sector in Java with the GTWR model. GTWR model is more effective to describe the value of GRDP the construction sector of regencies/municipalities in Java Island in 2010-2016. This is indicated by the decrease in values of Root Mean Square Error (RMSE), Mean Absolute Deviation (MAD), and the Mean Absolute Percentage Error (MAPE).
{"title":"Analysis of Geographically and Temporally Weighted Regression (GTWR) GRDP of the Construction Sector in Java Island","authors":"Sugi Haryanto, M. Aidi, A. Djuraidah","doi":"10.23917/FORGEO.V33I1.7332","DOIUrl":"https://doi.org/10.23917/FORGEO.V33I1.7332","url":null,"abstract":"The construction sector is one of the sectors that have strategic value in the national economy. Economic activity in an area is measured using the Gross Regional Domestic Product (GRDP). The development of economic activities in the construction sector can be seen from the GRDP of the construction sector. The Geographically and Temporally Weighted Regression (GTWR) model is a development of the Geographically Weighted Regression (GWR) model taking into account the diversity of locations and times. This study used secondary data, namely the data of GRDP the construction sector as a response variable and four explanatory variables, namely the number of population, local revenue, area, and the number of construction establishments. The purpose of this study is to determine the factors that influence each regency/municipality and each year observing the GRDP of the construction sector in Java with the GTWR model. GTWR model is more effective to describe the value of GRDP the construction sector of regencies/municipalities in Java Island in 2010-2016. This is indicated by the decrease in values of Root Mean Square Error (RMSE), Mean Absolute Deviation (MAD), and the Mean Absolute Percentage Error (MAPE).","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78670810","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}
Pub Date : 2019-08-02DOI: 10.23917/FORGEO.V33I1.8421
Arif Nur Rohman, D. B. Prasetya
The process to alleviate flood risk, especially flood from a river that occurs excessively in Indonesia, requires a new approach. The attempt to reduce the risk along with the development of technology is by utilising commercial drones and rapid mapping methods for mapping flood plain area. With the rapid mapping method, the flood mitigation process in the village area can be done quickly. The activity carried out was to map the location of possible flooding in the Way Galih Village and case analysis to determine the location of the biogas digester together with the village government authority. The results of the study show that the data acquisition process and aerial photo processing can be carried out within one day and the village policymaker can quickly make policies and decisions about where to place the biogas digester.
{"title":"Rapid Mapping for Simple Flood Mitigation Using Commercial Drone at Way Galih Village, Lampung, Indonesia","authors":"Arif Nur Rohman, D. B. Prasetya","doi":"10.23917/FORGEO.V33I1.8421","DOIUrl":"https://doi.org/10.23917/FORGEO.V33I1.8421","url":null,"abstract":"The process to alleviate flood risk, especially flood from a river that occurs excessively in Indonesia, requires a new approach. The attempt to reduce the risk along with the development of technology is by utilising commercial drones and rapid mapping methods for mapping flood plain area. With the rapid mapping method, the flood mitigation process in the village area can be done quickly. The activity carried out was to map the location of possible flooding in the Way Galih Village and case analysis to determine the location of the biogas digester together with the village government authority. The results of the study show that the data acquisition process and aerial photo processing can be carried out within one day and the village policymaker can quickly make policies and decisions about where to place the biogas digester.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89799936","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}
Pub Date : 2019-08-02DOI: 10.23917/FORGEO.V33I1.7858
I. Indarto, E. Hidayah
A hydrological process on the watersheds is driven by rainfall as the input. Physical properties also affect the magnitude response of the watershed to produce run-off. This paper presents the identification, assessment and visualisation of morphometric and hydrological properties of the watersheds. Six watersheds in the eastern part of East Java were used for the analysis. Physical characteristics obtained by cropping the GIS layer with a watershed. Topographic and morphometric properties of the watersheds derived from the ASTER G-DEM2. Furthermore, hydrological properties are derived statistically by analysing available rainfall and discharge data. Hydrological data (rainfall and discharge) are available from 1996 – 2014. Finally, simple statistical analysis by plotting obtained values are used to interpret the relation between morphometric and hydrological properties of the watersheds. The results show the quantitative number (unit) to describe the morphometric and hydrological properties of the six watersheds that can be used for watershed classification.
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