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

¹ Computer Science Department, School of Computer Science, 11480 Bina Nusantara University, Indonesia
² Statistics Department, School of Computer Science, 11480 Bina Nusantara University, Indonesia

^* Corresponding author: eirwansyah@binus.edu

Abstract

Indonesia is the fourth most populous country in the world. Therefore, the Indonesian government needs to provide a significant amount of housing for Indonesian citizens. In the place and time people live today, housing prices have risen so fast and so high that the lower classes cannot afford to buy their own houses where the government must provide housing for the citizens. To maximize the government's efficiency in making subsidized housing, the government needs to examine many variables to determine which place is most suitable for housing subsidies. Some examples of values that need to be the object of study are to assess the quality of life or life support value of each location such as the local environment, how strategic the place is in terms of how close it is to public facilities. All information provided is not in numeric values. To apply this model to the analysis, it is necessary to carry out the stages of converting values into the same class for each variable. After assessing and converting all the information into a certain value, it can then be calculated to obtain an objective value to determine the most suitable place for subsidized public housing using two types of modelling systems to get the most accurate results.