Journal of Applied Geospatial Information最新文献

Geographic Information System Mapping Risk Factors Stunting Using Methods Geographically Weighted Regression 利用地理加权回归法绘制发育迟缓风险因素地理信息系统图

Journal of Applied Geospatial Information Pub Date : 2023-12-27 DOI: 10.30871/jagi.v7i2.6936

Siska Mayasari Rambe, S. Suendri

{"title":"Geographic Information System Mapping Risk Factors Stunting Using Methods Geographically Weighted Regression","authors":"Siska Mayasari Rambe, S. Suendri","doi":"10.30871/jagi.v7i2.6936","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6936","url":null,"abstract":"Technological developments in this era of globalization are very rapid. This requires humans to enter life together with information and technology. Stunting as a chronic nutritional problem in children, continues to be a global challenge. Geographic Information Systems (GIS) have proven to be effective tools in spatial analysis and distribution mapping stunting. In this context, method Geographically Weighted Regression (GWR) has been used to model the spatial relationship between factors that contribute to stunting. This research will produce a Geographic Information System using the method Geographically Weighted Regression. With this Geographic Information System, it can display location points and affected information stunting. Because of this system, the Padang Lawas Utara District Health Office does not need to store location data stunting in archive form again but digitally. This study underscores the importance of using GIS with the GWR method in mapping patient locations stunting. Through the integration of geographic data and spatial analysis, we can generate a better understanding of the influencing factors stunting at the local level, which in turn can support prevention and response efforts stunting which is more effective.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"118 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154666","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}

引用次数: 0

Data-Driven Modeling of Human Development Index in Eastern Indonesia's Region Using Gaussian Techniques Empowered by Machine Learning 利用机器学习驱动的高斯技术建立印度尼西亚东部地区人类发展指数的数据驱动模型

Journal of Applied Geospatial Information Pub Date : 2023-11-25 DOI: 10.30871/jagi.v7i2.6757

Syuhra Putri Ganiswari, Harun Al Azies, Adhitya Nugraha, Ardytha Luthfiarta, Gustian Angga Firmansyah

{"title":"Data-Driven Modeling of Human Development Index in Eastern Indonesia's Region Using Gaussian Techniques Empowered by Machine Learning","authors":"Syuhra Putri Ganiswari, Harun Al Azies, Adhitya Nugraha, Ardytha Luthfiarta, Gustian Angga Firmansyah","doi":"10.30871/jagi.v7i2.6757","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6757","url":null,"abstract":"The Human Development Index (HDI) is a statistical measure used to measure and evaluate the progress and quality of human life in a country. For the Government of Indonesia, HDI is important because it is used to create or develop effective policies and programs. In addition, HDI is also used as one of the allocators in determining the General Allocation Fund. The 2022 HDI data released by BPS shows that there has been an increase in the HDI in each district/city over the last 12 years, including in the regions of Eastern Indonesia. High and low HDI values are influenced by several factors, and there are indications that there is spatial diversity where surrounding areas tend to have HDI levels that are not far from the area. The Geographically Weighted Regression method is used in this study because it takes into account spatial aspects. However, the GWR model must be built repeatedly if there is regional expansion. Therefore, a GWR model that applies machine learning methods is needed where the model is built and tested using different datasets, namely training data and test data, so that the model can predict new data better. The results obtained are that the GWR model with test data has a better R-Square value when compared to the GWR model previously trained using training data, which is 0.9946702, based on the linear regression model shows the results that the most influential factor on HDI in Eastern Indonesia is expected years of schooling (X2).","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"18 42","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139238098","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}

引用次数: 0

Analysis of Rob Flood Risk on The Coast of East Luwu District Using GIS 利用地理信息系统（GIS）分析东陆奥区沿海的罗布泊洪水风险

Journal of Applied Geospatial Information Pub Date : 2023-11-18 DOI: 10.30871/jagi.v7i2.6719

Nanda Riska Devy, Syamsul Bahri Agus, S. B. Susilo

{"title":"Analysis of Rob Flood Risk on The Coast of East Luwu District Using GIS","authors":"Nanda Riska Devy, Syamsul Bahri Agus, S. B. Susilo","doi":"10.30871/jagi.v7i2.6719","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6719","url":null,"abstract":"Rob floods caused by rising sea levels are a natural disaster that can potentially threaten coastal areas, especially in Indonesia. Tidal floods seriously threaten coastal areas, especially East Luwu Regency. Environmental factors and rapid growth on the coast of East Luwu Regency influence the vulnerability and complexity of the environment. This research aims to identify the spatial distribution of tidal flood risk levels and predict tidal flood inundation in 2050 at the highest tide on the coast of Luwu Timur District. This effort is part of a disaster mitigation strategy due to rising sea levels. The modeling approach involves Geographic Information Systems (GIS) overlaying data and integrating DEM, HHWL, and SLR data for 28 years (1992-2020). The research results show that the coastal areas studied have a high risk related to tidal flooding, with locations closest to the coastline being at the highest risk. In contrast, the risk decreases as you move away from the coastline. Apart from that, the modeling results also estimate that in 2050, inundation will reach a height of 1,570 meters. The area affected by tidal flood inundation has increased in each sub-district. The inundation will spread evenly along the coastline and extend inland due to seawater intrusion. Coastal areas dominated by production land, such as ponds and agricultural areas, are predicted to experience the most extensive impact of inundation compared to other land uses. Emphasizes the need for mitigation efforts to minimize the impacts that may be caused by tidal floods in the future.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139261521","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}

引用次数: 0

The Sensitivity Level of the Coastal Areas in Bulukumba Regency to Waste Pollution 布卢昆巴地区沿海地区对废物污染的敏感程度

Journal of Applied Geospatial Information Pub Date : 2023-11-16 DOI: 10.30871/jagi.v7i2.6727

Dinda Afifah Adinuha, Syamsul Bahri Agus, N. Zamani

{"title":"The Sensitivity Level of the Coastal Areas in Bulukumba Regency to Waste Pollution","authors":"Dinda Afifah Adinuha, Syamsul Bahri Agus, N. Zamani","doi":"10.30871/jagi.v7i2.6727","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6727","url":null,"abstract":"The presence of waste in coastal environments can lead to increased coastal damage and burden. Most of the population's activities in Bulukumba Regency are concentrated in coastal areas, thus making this region susceptible to significant pressure from waste pollution. This research aims to determine the level of coastal area sensitivity in Bulukumba towards waste pollution. The study was conducted from October to December 2022. The research location is the coastal area of Bulukumba Regency, which includes seven subdistricts: Gantarang, Ujung Bulu, Ujung Loe, Bonto Bahari, Bontotiro, Herlang, and Kajang. Primary data were obtained through interviews and direct observations at the research locations, while secondary data were collected through literature studies and relevant institutions in Bulukumba. The results of parameter weighting using the expert judgment method indicate that five important parameters are used to assess the sensitivity of the coastal environment to waste pollution. These parameters consist of current velocity (20.27%), distance of the ecosystem from the harbor (18.92%), distance of the ecosystem from settlements (18.92%), distance of the ecosystem from rivers (17.57%), and the presence of waste on the coast (17.57%). The distribution of coastal environmental sensitivity levels to waste pollution shows that the eastern coastal areas are more sensitive to waste pollution than the southern coastal areas. The current velocity is the most significant parameter influencing the coastal environment's sensitivity to waste pollution and holds the highest weight and score across all research areas.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"10 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139268583","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}

引用次数: 0

Analysis The Effect of Large-Scale Social Restrictions on Air Quality in DKI Jakarta 分析大规模社会限制对雅加达 DKI 区空气质量的影响

Journal of Applied Geospatial Information Pub Date : 2023-11-10 DOI: 10.30871/jagi.v7i2.5224

Angga Dwi Prasetyo, N. Bashit, Muhammad Adnan Yusuf, Farouki Dinda Rassarandi

{"title":"Analysis The Effect of Large-Scale Social Restrictions on Air Quality in DKI Jakarta","authors":"Angga Dwi Prasetyo, N. Bashit, Muhammad Adnan Yusuf, Farouki Dinda Rassarandi","doi":"10.30871/jagi.v7i2.5224","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.5224","url":null,"abstract":"The Covid-19 pandemic has caused all countries to implement strategies to suppress its spread, one of which is Indonesia, especially DKI Jakarta, which has implemented Large-Scale Social Restrictions (PSBB) since April 10 2020. Apart from being able to suppress the spread of the Covid-19 virus, PSBB is thought to have an impact on the environment, especially air quality in DKI Jakarta. According to research from the BMKG, Jakarta's air quality has improved over the last 5 years with the implementation of the PSBB. Besides analyzing the effect of the PSBB on air quality in DKI Jakarta, this research also aims to help governments in every region of Indonesia that do not have air quality monitoring stations. The method used in this study is to utilize Imagery from Sentinel-5P to measure concentrations of NO2, CO and SO2 gases validated using field data and utilize the NOAA Satellite acquired with Ventusky to analyze the effect of wind on the distribution of air pollution due to the PSBB. The results showed that the ratio of the average concentrations of NO2, CO and SO2 gases in DKI Jakarta decreased respectively to 27.70% ; 10.20% ; 42.06%. This shows an increase in air quality in DKI Jakarta due to the implementation of the PSBB. Comparison of the average concentrations of NO2, CO and SO2 gases in DKI Jakarta during the PSBB and after the PSBB increased slightly respectively to 11.92% ; 1.89% ; 35.84%. This shows that there is a decrease in air quality in DKI Jakarta which was caused after the implementation of the PSBB. Wind also affects the concentration of NO2, CO and SO2 gases. This is evidenced by the results of the correlation where the gas concentration is low when the wind speed is high, and vice versa. It was concluded that during the COVID-19 pandemic the concentrations of NO2, CO and SO2 in DKI Jakarta decreased and slightly increased after the PSBB, and wind could affect the distribution of these gases.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139281183","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}

引用次数: 0

Geographic Information System for Tsunami Disaster Mitigation Evacuation Routes Moving the Sunda Subduction Megathrust (Case Study: Analysis of Pangandaran Regency) 移动巽他俯冲特大地壳的海啸减灾疏散路线地理信息系统（案例研究：彭干达兰地区分析）

Journal of Applied Geospatial Information Pub Date : 2023-11-09 DOI: 10.30871/jagi.v7i2.6518

Parlindungan Harahap, R. Virgana, Targa Sapanji, Ucu Nugraha

{"title":"Geographic Information System for Tsunami Disaster Mitigation Evacuation Routes Moving the Sunda Subduction Megathrust (Case Study: Analysis of Pangandaran Regency)","authors":"Parlindungan Harahap, R. Virgana, Targa Sapanji, Ucu Nugraha","doi":"10.30871/jagi.v7i2.6518","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6518","url":null,"abstract":"Pangandaran Regency has the potential for an earthquake disaster accompanied by a tsunami which occurred on July 17 2006 at 15.19 with a magnitude of 7.7, earthquake data from the USGS shows an earthquake of magnitude 5-9, there are 909 earthquake points between 1918 - 2023, 2 earthquake points above magnitude 7 (7.7 and 7.44), 18 earthquake points above magnitude 6-6.9, below magnitude 6 there were 887 earthquake points, earthquake points in the south of Pangandaran Regency were concentrated between 2 groups of locations. Raster calculation of land surface at 5 meters above sea level and 10 meters above sea level is not recommended as a location to escape for tsunami disaster mitigation, also 20 meters above sea level is not recommended unless there are no other higher areas, 30 meters above sea level is highly recommended with a note if there are higher areas it is better to shift to a higher area, because tsunami waves cannot be predicted when they hit one area, their height can be different when they hit another area, it can be calculated that the potential impact of the tsunami disaster is 90,576 buildings or houses. Several villages could be rescue locations to mitigate potential tsunami disasters in Pangandaran Regency, such as in Cimerak sub-district (Limusgede village and Cimerak village), in Cijulang sub-district (Kertayasa village and Margacinta village), in Parigi sub-district (Parakanmanggu village, Cintakarya village, Selasari village), in Sidamulih subdistrict (Kersaratu village and Kalijati village), in Pangandaran subdistrict (Pagergunung village), in Kalipucang subdistrict (Ciparakan village), in Padaherang subdistrict (Payutran village, Bojongsari village, Karangsari, Kedangwuluh, Pasirgeulis), for Mangunjaya subdistrict all areas in below 30 meters so that mitigation locations must be prepared in several border villages in Ciamis Regency.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139281850","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}

引用次数: 0

Spatio-Temporal Analysis of Ilorin Airport on the Land-Use of Ilorin Metropolis, Southwestern Nigeria 伊洛林机场对尼日利亚西南部伊洛林市土地利用的时空分析

Journal of Applied Geospatial Information Pub Date : 2023-11-07 DOI: 10.30871/jagi.v7i2.5693

Nurudeen Onomhoale Ahmed, Oyeniyi Solomon Taiwo

{"title":"Spatio-Temporal Analysis of Ilorin Airport on the Land-Use of Ilorin Metropolis, Southwestern Nigeria","authors":"Nurudeen Onomhoale Ahmed, Oyeniyi Solomon Taiwo","doi":"10.30871/jagi.v7i2.5693","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.5693","url":null,"abstract":"This study investigates land-use patterns and changes in the vicinity of Ilorin Airport in Southwestern Nigeria using spatio-temporal analysis. Geographic information systems (GIS) and remote sensing techniques are employed to analyze land use dynamics from 1972 to 2018, and make a projection to 2078. Satellite images obtained from the United States Geological Survey and primary data collected through GPS serve as the main sources of information for the analysis. The findings reveal significant shifts in land use over the study period. A marked increase in built-up areas indicates urban expansion, while grassland areas experience a corresponding decrease. These changes are attributed to the development and growth of the airport and ongoing urbanization processes in the region. The results provide valuable insights into the impact of airport development and urbanization on land-use patterns in the study area. The study highlights the importance of employing GIS and remote sensing techniques in monitoring and analyzing land-use dynamics, enabling informed decision-making and planning processes. The research contributes to the existing knowledge on land-use changes associated with airport development and urbanization. It provides a foundation for further research in the field of land-use management and spatial planning. The outcomes of this study can inform policy and decision-makers, urban planners, and other stakeholders in developing strategies for sustainable land-use practices and mitigating the potential adverse effects of airport development and urban expansion.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139283934","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}

引用次数: 0

Arthropoda Community Structure in Conservation Forest and Oil Palm Plantation in Java Tongah Village Area, Hatonduhan District, Simalungun Regency 西马伦贡地区哈顿杜汉县爪哇汤加村保护林和油棕种植园中的节肢动物群落结构

Journal of Applied Geospatial Information Pub Date : 2023-11-07 DOI: 10.30871/jagi.v7i2.6258

S. Silaen, Welmar Olfan Basten Barat

{"title":"Arthropoda Community Structure in Conservation Forest and Oil Palm Plantation in Java Tongah Village Area, Hatonduhan District, Simalungun Regency","authors":"S. Silaen, Welmar Olfan Basten Barat","doi":"10.30871/jagi.v7i2.6258","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6258","url":null,"abstract":"The research about composition and structure of Arthropoda community was conducted at oil palm plantations Arthropoda were collected at oil palm plantation, conservasion forest and forest edge sites (between conservation forest and plantation area) by survey method with systematic random sampling for arthropoda in litter and soil. A total of four Arthropoda species that belonging to 2 orders, 3 families, 4 general and 57 individuals was collected. The highest number of individuals Isotomiella sp. (14 ind) family Isotomidae. Arthropoda community composition consists of 3 families & 4 species: Neanuridae (Lobella sp.), Brachystomellidae (Brachystomella sp.) & Isotomidae (Isotomiella sp. & Folsomides sp.), Arthropoda community structure The highest density is in the litter location I (16 ind / m2) while the lowest density is in location III (3.56 ind / m2). The highest soil density is in location I (4,538.56 ind / m3) & the lowest density is in location III (789,761 ind / m3). The highest relative density is location III (100%) & the lowest relative density is found in location I (litter, 5.8%) & (soil, 8.9%). The highest Shannon-Wiener diversity index, both litter and soil, were found in location I (litter 1.28) & (soil, 1.38) and the lowest diversity index was found in location III (0). The highest similarity index for Sorensen was location III (75.71%) and the lowest was the comparison between locations II & I (20%).","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139286317","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}

引用次数: 0

The Directions of Settlement Development on Land Availability in Ternate City 特尔纳特市定居点发展对土地可用性的影响

Journal of Applied Geospatial Information Pub Date : 2023-10-27 DOI: 10.30871/jagi.v7i2.5941

Eva Purnamasari, Yudi Antomi

{"title":"The Directions of Settlement Development on Land Availability in Ternate City","authors":"Eva Purnamasari, Yudi Antomi","doi":"10.30871/jagi.v7i2.5941","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.5941","url":null,"abstract":"The development of settlements experienced by the City of Ternate has caused quite serious problems, considering that the City of Ternate is an island city dominated by mountainous land, land development for settlements is limited to coastal lands. The purpose of this study is to analyze the direction of settlement development toward the availability of land in the City of Ternate. The method used in this research is the overlay method and uses a qualitative descriptive research type using secondary data in the form of a Map of Disaster Prone Areas from the Ministry of Energy and Mineral Resources. From the results of the overlapping process between settlements in 2010 and 2020, the direction of settlement development in the City of Ternate is to the south and east which are pointing upwards on the slopes of Mount Gamalama. Judging from the Disaster Prone Areas (KRB) map obtained from the Ministry of Energy and Mineral Resources, the direction of settlement development that has occurred in Ternate City is that KRB I is an area that is located along or near the river valley and the lower reaches of the river which originates at the peak area. The availability of land in the City of Ternate which allows for the construction of a settlement is in the south and east. However, the southern and eastern parts of Ternate City are dense enough so that the dominant development is directed upwards. This upward development needs to consider the slope of the slope considering that Ternate City is a volcanic island.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139312797","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}

引用次数: 0

Analysis of Land Value in the Area Surrounding the Central Business District (CBD) of Simpang Lima, Semarang City Using Geographically Weighted Regression (GWR) 利用地理加权回归（GWR）分析三宝垄市新邦利马中央商务区（CBD）周边地区的土地价值

Journal of Applied Geospatial Information Pub Date : 2023-10-20 DOI: 10.30871/jagi.v7i2.6361

F. J. Amarrohman, Yasser Wahyuddin, Ellena Patricia

{"title":"Analysis of Land Value in the Area Surrounding the Central Business District (CBD) of Simpang Lima, Semarang City Using Geographically Weighted Regression (GWR)","authors":"F. J. Amarrohman, Yasser Wahyuddin, Ellena Patricia","doi":"10.30871/jagi.v7i2.6361","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6361","url":null,"abstract":"According to the Regional Spatial Plan (RTRW) for the City of Semarang in 2011–2031, the area around Simpang Lima is part of City Area 1, with a function as the Central Business District (CBD). Losch (1954) suggests that the value of a parcel of land tends to decrease if it is away from the central business area. Therefore, this study investigated the relationship between changes in land value and the presence of CBD around the Simpang Lima CBD. The methods employed in this study are the calculation of the Average Indicated Value (NIR), analyzing changes in land value in 2012–2023, and the Geographically Weighted Regression (GWR). Based on an analysis of changes in land value for 2012–2023, it shows that the highest change in land value zone for 2012–2018 was in zone 166, with an increase of IDR 20,446,000, and the lowest change in land value was in zone 163, with a decrease of IDR 3,956,000. Meanwhile, the highest change in land value zone for 2018–2023 was in zone 84, with an increase of IDR 28,852,000, and the lowest change in land value was in zone 37, with an increase of IDR 217,000. The results of statistical tests using GWR show that the influence of the distance from the CBD on changes in land values in 2012–2023 is 84%, indicating a high correlation. The results of the T-test performed on each variable indicate that the variables significantly influencing changes in land value are shopping centers and road widths. Shopping centers have a negative correlation. On the other hand, the road width is positively correlation.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139316081","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}

引用次数: 0