Volume 6, Issue 1, March 2018, Page: 20-26
TOPSIS Technique for Selecting of Property Development Location
Deny Jollyta, Department of Informatics, Sekolah Tinggi Ilmu Komputer Pelita Indonesia, Pekanbaru, Indonesia
Received: Feb. 8, 2018;       Accepted: Feb. 25, 2018;       Published: Mar. 20, 2018
DOI: 10.11648/j.se.20180601.14      View  1367      Downloads  54
Abstract
The selection of the location of property development becomes an important thing for the property company. The location must match the company's target. Locations that do not meet the criteria will pose problems such as large costs incurred in development, long construction completion time and marketing difficulties where low consumer interest in property so that the firm must lower the selling price. Therefore the location is selected based on several criteria. Typically, property firms have different location criteria. However, the criteria used concern the structure of the soil to the completeness of the correspondence. In this study, the selection of 3 locations of property development, A, B and C, through a decision support system. A total of 32 predefined criteria are processed using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is one of the decision support methods that can solve multi criteria problems and can produce decisions quickly and precisely. Land data, criteria, alternatives, weighting criteria, survey results and criteria values are internal data used in this system. TOPSIS results show that location A is the best location because it has the highest preference value of 0.6. That is, location A has the shortest distance from the positive ideal solution and the furthest distance from the negative ideal solution.
Keywords
Property, Location, Decision Support System, Multicriteria, TOPSIS
To cite this article
Deny Jollyta, TOPSIS Technique for Selecting of Property Development Location, Software Engineering. Vol. 6, No. 1, 2018, pp. 20-26. doi: 10.11648/j.se.20180601.14
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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