Model Spasial Penentuan Lokasi untuk Objek Bank Tanah di Kabupaten Sleman

Tunas Agraria ◽  
2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Arfian Arfian ◽  
Slamet Muryono ◽  
Sudibyanung Sudibyanung
Keyword(s):  
Spatial Data ◽  
Spatial Model ◽  
Physical Characteristics ◽  
Land Market ◽  
Land Value ◽  
Market Data ◽  
Spatial Approach ◽  
Abandoned Land ◽  
The Government ◽  
Land Bank

 Abstract: The conception of a land bank is intended as an activity undertaken by the Government to provide land, which will be allocated for future use for various development purposes. Implementation of land bank can not be separated from spatial data. Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN) both at Provincial and Regency/City Land Offices is deemed necessary to contribute on the realization of the institution of land bank in providing spatial data. This study aims to determine and demonstrate spatial model in determining the location f of land banks based on land market data and physical characteristics of the soil in Godean Sub-district, Sleman Regency.The research used descriptive qualitative method with spatial approach technique. Space variable was considered as the main variable in each analysis and sampling method. The subject of land bank was considered as land that allegedly indicated as abandoned land. The data was obtained from interview, observation and document studies. The results showed: (1) To determine object of land for land bank purpose, several spatial data obtained from Land Office of Sleman Regency were used, which are Administration Map, Land Use Map (2017), Land Capability Map, Land Value Zone Map (2017), Distribution Land Value  Map (2018); and Abandoned Land Map. (2) Spatial model of land bank using Dynamics Spatial Model Land Banking has three main components, which arepotential abandoned land, soil physical characteristics, and land market data. The three components has characteristic of the dimension of space, time and process dynamics, related to the processes in the earth science, ecology, sociology and economics.Keywords: object of land bank, spatial data, land physic, land market. Intisari: Konsepsi bank tanah dimaksudkan sebagai suatu kegiatan yang dilakukan oleh Pemerintah untuk menyediakan tanah, yang akan dialokasikan penggunaannya di kemudian hari untuk berbagai kepentingan pembangunan. Penyelenggaraan bank tanah tidak dapat lepas dari data spasial. Kementerian Agraria dan Tata Ruang/Badan Pertanahan Nasional (ATR/BPN) baik di Kantor Wilayah Provinsi maupun Kantor Pertanahan Kabupaten/ dipandang perlu membantu mewujudkan lembaga bank tanah dalam hal penyediaan data spasial.Penelitian ini bertujuan untuk mengetahui dan menunjukkan model spasial dalam penentuan lokasi untuk penyelenggaraan bank tanah berdasarkan data pasar tanah dan karakteristik fisik tanah di Kecamatan Godean Kabupaten Sleman. Penelitian yang dilakukan menggunakan metode deskriptif kualitatif dengan pendekatan keruangan (spatial approach) dimana variabel ruang mendapat posisi utama dalam setiap analisis dan metode sampling yang menjadi sampel yaitu persebaran objek bank tanah yaitu tanah yang diduga terindikasi tanah terlantar. Sumber data dalam penelitian ini didapat dari hasil wawancara, observasi dan studi dokumen. Hasil penelitian menunjukkan: (1) Penentuan lokasi objek tanah untuk bank tanah dilakukanmemanfaatkan data spasialyang ada di Kantor Pertanahan Kabupaten Sleman; yakni meliputi, Peta Administrasi; Peta Penggunaan Tanah Tahun 2017; Peta Kemampuan Tanah; Peta Zona Nilai Tanah Tahun 2017; Peta Persebaran Nilai Tanah Tahun 2018; dan Peta Tanah Terlantar.(2)Model spasial bank tanah menggunakan metode Dynamics Spatial Model Land Bankingmemiliki tiga komponen utama, yaitu tanah yang diduga terindikasi terlantar, karakteristik fisik tanah, dan data pasar tanah, yang memiliki dimensi ruang, waktu dan proses dinamiknya, baik yang terkait dengan proses-proses dalam ilmu kebumian, ekologi, sosiologi maupun ekonomi. Kata kunci: objek bank tanah, data spasial, fisik tanah dan pasar tanah

scholarly journals Application of Spatial Auto-Regressive Model for Determining Urban Land Market

1970 ◽  
Vol 2 ◽  
pp. 107-115 ◽  
Author(s):  
Md Shohel Reza Amin
Keyword(s):  
Physical Characteristics ◽  
Influential Factors ◽  
Land Market ◽  
Growth Time ◽  
Land Value ◽  
Spatial Autoregression ◽  
Land Prices ◽  
The Impact ◽  
Auto Regression ◽  
Flood Flow

Rapid conversion of agricultural, flood flow and sub-flood flow lands into urban uses at the periphery of Dhaka city increases the demand for developing useful supply, demand, and pricing models. Nevertheless, pricing land offers a challenging task. During high economic growth time, the conventional belief was that land values should soar with increasing demand and decreasing vacancies. Conversely, accurate anticipation of these values is problematic since spatial factors are often influential ones along with other characteristics of land. Moreover, land represents not only a bundle of physical characteristics but also sets of location-specific, transport, urban amenity, socio-economic and environmental characteristics. The extent of such characteristics on land market can be estimated by applying Spatial Autoregression model. The objective of this paper is to carry out an empirical analysis to examine the effects of different land characteristics on land prices in Savar municipality by using Spatial Auto-Regression (SAR) model. In particular, spatial econometric procedures (spatial autocorrelation) and spatial auto-regression analysis are applied to determine spatial dependence among the land value of plots and to evaluate the impact of land characteristics on land prices in the land market of Savar municipality respectively. The findings of this paper reveal that transport attributes have most significiant relationship with the land value and other explanatory variables like municipal amenities, physical characteristics of the plot, employment attraction, and commercial services are also influential factors of land price.DOI: http://dx.doi.org/10.3329/jbip.v2i0.9571Journal of Bangladesh Institute of Planners Vol. 2, December 2009, pp. 107-115

scholarly journals Amidst Covid-19 Pandemic: An Adaptive Disaster Governance in Yogyakarta, Indonesia

2021 ◽  
Vol 10 (3) ◽  
pp. 92
Author(s):  
Dyah Rahmawati Hizbaron ◽  
Dina Ruslanjari ◽  
Djati Mardiatno
Keyword(s):  
Spatial Data ◽  
Online Survey ◽  
Local Development ◽  
Development Planning ◽  
Research Area ◽  
Primary Data ◽  
Adaptive Governance ◽  
First Case ◽  
The Government ◽  
Information Conflict

Since Indonesia reported its first case of COVID-19 in the capital, Jakarta, in early March of 2020, the pandemic has affected 102,051,000 lives. In the second week of the month, the government mandated all sectors to take necessary actions to curb the spread. The research set out to evaluate how the disaster emergency response was carried out amid the COVID-19 pandemic in the Special Region of Yogyakarta (SRY). The research employs qualitative observation of adaptive governance variables, i.e., infrastructure availability, information, conflict mechanism, regulation, and adaptation. The research analyzed primary data collected from focus group discussions with key persons at the Local Disaster Management Agency, Local Development Planning Agency, and Disaster Risk Reduction Platform responsible for the crisis and included an online survey to validate data. The research revealed that the SRY had exhibited adaptive governance to the COVID-19 pandemic, as apparent by, among others, open-access spatial and non-spatial data, extensive combined uses of both types of data, and prompt active engagement of communities in the enforcement of new rules and regulations mandated by national and provincial governments. Furthermore, during emergency responses to COVID-19, the stakeholders provided infrastructure and information, dealt with conflicts in multiple spatial units, encouraged adaptations, and formulated emergent rules and regulations. For further research, we encourage qualitative analysis to confront other types of natural disaster for the research area.

scholarly journals Scenic Beauty Estimation Analysis of Sara Besar Island for The Development of Coastal Ecotourism in Talaud Islands District

GeoEco ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 76
Author(s):  
Joyce Kumaat ◽  
Kalvin S Andaria ◽  
Hilda F Oroh
Keyword(s):  
Information Technology ◽  
Coastal Area ◽  
Geographic Information ◽  
Coastal Areas ◽  
Physical Factors ◽  
Coastal Regions ◽  
Scenic Beauty ◽  
Spatial Approach ◽  
The Government ◽  
The Right

<p><em>This study aims to determine the potential of coastal areas in ecotourism development through a spatial approach using Scenic Beauty Estimation (SBE) analysis. The benefits related to the use of geographic information technology will conceptually provide the right solution for planning and regional development in ecotourism development.  Activities carried out include collecting data in the field related to physical and non-physical factors in coastal areas through surveys and mapping, then analyzing data in a Scenic Beauty Estimation (SBE) and designing geographic information systems in the form of mapping on 1) physical, artistic potential, and tourist activities, 2) accessibility (transportation), 3) information and accommodation services.  The contribution of this research is to provide information and input for the government to facilitate and determine the planning and development of ecotourism in the coastal area of Talaud Regency on the island of Sara. It can increase regional or regional income, participation, and support in managing and utilizing coastal regions.</em></p>

scholarly journals PEMETAAN LOKASI KELUARGA PENERIMA MANFAAT PKH DI KECAMATAN PRAYA TENGAH MENGUNAKAN EXTENTION GEOPROCESSING

2018 ◽  
Vol 1 (2) ◽  
pp. 33
Author(s):  
Sofiansyah Fadli ◽  
Fitri Rohyatul Aini
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Geographic Information ◽  
The Other ◽  
Government Programs ◽  
Government Program ◽  
Family Expectations ◽  
The Government ◽  
System Mapping ◽  
The Town

Based on data from UPPKH sub-district of Central Praya Year in 2017. The number of beneficiaries from the Government Program namely the Program Family expectations (PKH) and Beneficiary Families (KPM) is 3,425 which are spread throughout the villages in the Central Praya. The existence of the problems and constraints that have emerged is the difficulty the other escorts who are outside of the town would like to know the location and development of recipient PKH KPM. Extention Geoprocessing is a tool for processing spatial data in ArcView. The use of extension geoprocessing on the geographic information syste is one tool that can be used to assist in analyzing the condition and whereabouts of beneficiaries of government programs, especially the PKH KPM Program, especially in the Central Praya sub-district.The method used in analyzing data is the model SPIRAL method, the programming language used is PHP / MapScript, and criteria used are sourced from BPS. With the building of a geographic information system mapping the PKH KPM location, the community and the government will find it easier to know the development of poverty and can facilitate outside sub-district facilitators to find the location of PKH KPM in the central Praya sub-district.

A Spatial Model of Land Market Behavior

1979 ◽  
Vol 61 (4) ◽  
pp. 697 ◽  
Author(s):  
Leroy J. Hushak ◽  
Kazem Sadr
Keyword(s):  
Spatial Model ◽  
Land Market ◽  
Market Behavior

scholarly journals Birnbaum-Saunders Quantile Regression Models with Application to Spatial Data

Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 1000 ◽  
Author(s):  
Luis Sánchez ◽  
Víctor Leiva ◽  
Manuel Galea ◽  
Helton Saulo
Keyword(s):  
Quantile Regression ◽  
Spatial Data ◽  
Spatial Model ◽  
Regression Models ◽  
Maximum Likelihood Method ◽  
Marginal Distribution ◽  
Likelihood Method ◽  
Model Parameters ◽  
Data Set ◽  
Quantile Regression Model

In the present paper, a novel spatial quantile regression model based on the Birnbaum–Saunders distribution is formulated. This distribution has been widely studied and applied in many fields. To formulate such a spatial model, a parameterization of the multivariate Birnbaum–Saunders distribution, where one of its parameters is associated with the quantile of the respective marginal distribution, is established. The model parameters are estimated by the maximum likelihood method. Finally, a data set is applied for illustrating the formulated model.

Unraveling latent dimensions of the urban mosaic: A multi-criteria spatial approach to metropolitan transformations

2017 ◽  
Vol 50 (1) ◽  
pp. 93-110
Author(s):  
Luca Salvati ◽  
Margherita Carlucci ◽  
Pere Serra
Keyword(s):  
Spatial Data ◽  
Local Development ◽  
Urban Expansion ◽  
Spatial Data Analysis ◽  
Metropolitan Region ◽  
Urban Hierarchy ◽  
Factorial Ecology ◽  
Spatial Approach ◽  
Population Concentration ◽  
Patterns And Processes

We investigated local-scale urban profiles by analysing the spatial structure of 124 territorial indicators to identify possibly relevant dimensions influencing urban evolution and promoting socioeconomic transformation. To assess patterns and processes of urban expansion, Athens (Greece) was taken as a prototype of metropolitan systems with a diversified morphology and entropic functions. Exploratory spatial data analysis identified six dimensions of urban evolution: population concentration, sprawl, social segregation, income growth, specialization in commerce/retail/logistics and industrial decline. Urban centres were profiled according to the dominant dimension(s). Cluster analysis identified the urban hierarchy in the Athens metropolitan region based on population density, highlighting more subtle gradients associated with settlement morphology, social diversification, local development and economic performance. The proposed methodology stems from the ‘factorial ecology' approach, providing a coherent overview of the recent transformations that impact dimensions of urban sustainability.

The Missing Public Interest in Land: Auctions of Public Land in Taipei City

2016 ◽  
Vol 52 (04) ◽  
pp. 1640003
Author(s):  
TZU-CHIN LIN ◽  
YUN-TING CHENG
Keyword(s):  
Affordable Housing ◽  
Public Interest ◽  
Housing Price ◽  
Public Land ◽  
Fiscal Policies ◽  
Land Value ◽  
Specific Measure ◽  
The Public ◽  
Taipei City ◽  
The Government

One of the fundamental services a modern government shall furnish is affordable housing. The ratio of the housing price to household income in Taipei has in recent years reached an astonishing figure of 15. Taipei has long suffered from a lack of readily available sites for residential development. In addition to monetary and fiscal policies, a supply-oriented and location-specific measure is therefore called for. In this vein, the supply of public land in the market has become a promising policy alternative. In spite of that, public land is an asset that belongs to all citizens. Therefore, sales of public land shall meet three conditions so as not to violate the requirement of the public interest. First of all, the price of land sold to private developers shall reflect the reasonable price that the parcel expects to fetch in the market. Secondly, the land sold to the developers shall be quickly developed in accordance with its highest and best use, and not instead remain idle. Finally, no excessive profits shall be obtained from the land by the developers when the land is later developed and houses are sold. Our empirical evidence on auctions of public land in Taipei between 2006 and 2014 provides some disappointing findings. On average, public land is worth 1.37 times more than its auctioned price. In addition, nearly 90% of undeveloped public land has been idle for more than three years after being auctioned. Besides, the effective rates of land value tax and land value increment tax are on average 0.155% and 1.01%, respectively. We therefore conclude that the auctioning of public land in Taipei has operated against the public interest. We suggest that the government in future consider both fiscal and physical measures to improve the uses of public land. However, taxation shall remain the cornerstone of the policy package.

scholarly journals Challenges of Remote Sensing and Spatial Information Education and Technology Transfer in a Fast Developing Industry

2014 ◽  
Vol XL-6 ◽  
pp. 103-106 ◽  
Author(s):  
F. Tsai ◽  
L.-C. Chen
Keyword(s):  
Higher Education ◽  
Remote Sensing ◽  
Technology Transfer ◽  
Spatial Data ◽  
New Technologies ◽  
Spatial Information ◽  
Current Status ◽  
Fast Growing ◽  
Education And Technology ◽  
The Government

During the past decade, Taiwan has experienced an unusual and fast growing in the industry of mapping, remote sensing, spatial information and related markets. A successful space program and dozens of advanced airborne and ground-based remote sensing instruments as well as mobile mapping systems have been implemented and put into operation to support the vast demands of geospatial data acquisition. Moreover, in addition to the government agencies and research institutes, there are also tens of companies in the private sector providing geo-spatial data and services. However, the fast developing industry is also posing a great challenge to the education sector in Taiwan, especially the higher education for geo-spatial information. Facing this fast developing industry, the demands of skilled professionals and new technologies in order to address diversified needs are indubitably high. Consequently, while delighting in the expanding and prospering benefitted from the fast growing industry, how to fulfill these demands has become a challenge for the remote sensing and spatial information disciplines in the higher education institutes in Taiwan. This paper provides a brief insight into the status of the remote sensing and spatial information industry in Taiwan as well as the challenges of the education and technology transfer to support the increasing demands and to ensure the continuous development of the industry. In addition to the report of the current status of the remote sensing and spatial information related courses and programs in the colleges and universities, current and potential threatening issues and possible resolutions are also discussed in different points of view.

scholarly journals Kajian Geografis Potensi Wilayah Berbasis Geospasial Kabupaten Pringsewu

LaGeografia ◽  
2020 ◽  
Vol 18 (3) ◽  
pp. 255
Author(s):  
Dedy Miswar ◽  
I Gede Sugiyanta ◽  
Yarmaidi Yarmaidi
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Physical Region ◽  
Development Planning ◽  
Land Capability ◽  
Spatial Approach ◽  
The Social ◽  
Groundwater Basins ◽  
Further Development ◽  
Social Area

Regional potential is the ability of an area in the form of resources that can be used, exploited, and taken advantage of for further development so that it can improve and create regional capabilities. This study aims to make the potential of the physical region contained in the Geospatial based Pringsewu Regency, and the potential of the social area contained in the Geospatial based Pringsewu Regency. The method used is descriptive with a spatial approach. The results of the study are physical and social spatial data of the region including: administration, rainfall, groundwater basins, rivers and watersheds, landforms, slope, soil type, contour and height lines, land use, road networks, land capability, landslides, floods , population, and population density, so that it can be used as a reference in regional development planning. 

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