Land Suitability Evaluation for Housing and Residential Based on GIS, Satellite Imagery and DTM

Abstract

The aim of the research are making conceptual, functional model and implementing land suitability evaluation, creating database management system of land suitability evaluation, producing thematic map of land suitability evaluation for housing and residential based on GIS, satellite imagery and DTM. Research instruments are measurement and mapping tools, questionnaires, observations, computer hardware, and software. Primary data were taken by the physical, chemical and biological environment. Secondary data taken are maps of soil texture, soil drainage, soil type, erosion, slope, the effective depth of soil and flooding. Spatial analysis is used to superimpose layers, using GIS software. The thematic map which was producing land suitability evaluation for housing and residential based on GIS, satellite imagery, DTM from GIS software and satellite imagery from the internet could be more accurate and effective than conventional and analog methods.

Alternative Method in Selecting Location of Subsidized Housing Loan in Medan and Deli Serdang, Indonesia

“…From a community perspective, people also think for long term consequences about affordable housing provided by the government. There are multiple factors that need to be put forward by the government when searching for the location of housing factors, such as whether the house is far from the source of the search for residential communities [19], the cost of the land to be developed, the geology of the area [7] , the possibility of a disaster in the area [3], and comfort factors for residents such as climatic conditions [4] and available facilities. In addition to focusing on the location of house construction, the government also needs to increase the efficiency or effectiveness of land use, namely the use of vertical houses [20].…”

“…The result of the research using the AHP method only provides the hierarchical list of factors that will contribute to finding a suitable location without providing the actual location itself [6]. Meanwhile, the result of the research that uses the FSAW method only produces a single specific location based on the category [7]. Therefore, decided to use a different method that will produce more detailed results with more options.…”