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TOPSIS Technique for Selecting of Property Development Location

Received: 8 February 2018     Accepted: 25 February 2018     Published: 20 March 2018
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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.

Published in Software Engineering (Volume 6, Issue 1)
DOI 10.11648/j.se.20180601.14
Page(s) 20-26
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Property, Location, Decision Support System, Multicriteria, TOPSIS

References
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Cite This Article
  • APA Style

    Deny Jollyta. (2018). TOPSIS Technique for Selecting of Property Development Location. Software Engineering, 6(1), 20-26. https://doi.org/10.11648/j.se.20180601.14

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    ACS Style

    Deny Jollyta. TOPSIS Technique for Selecting of Property Development Location. Softw. Eng. 2018, 6(1), 20-26. doi: 10.11648/j.se.20180601.14

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    AMA Style

    Deny Jollyta. TOPSIS Technique for Selecting of Property Development Location. Softw Eng. 2018;6(1):20-26. doi: 10.11648/j.se.20180601.14

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  • @article{10.11648/j.se.20180601.14,
      author = {Deny Jollyta},
      title = {TOPSIS Technique for Selecting of Property Development Location},
      journal = {Software Engineering},
      volume = {6},
      number = {1},
      pages = {20-26},
      doi = {10.11648/j.se.20180601.14},
      url = {https://doi.org/10.11648/j.se.20180601.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20180601.14},
      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.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - TOPSIS Technique for Selecting of Property Development Location
    AU  - Deny Jollyta
    Y1  - 2018/03/20
    PY  - 2018
    N1  - https://doi.org/10.11648/j.se.20180601.14
    DO  - 10.11648/j.se.20180601.14
    T2  - Software Engineering
    JF  - Software Engineering
    JO  - Software Engineering
    SP  - 20
    EP  - 26
    PB  - Science Publishing Group
    SN  - 2376-8037
    UR  - https://doi.org/10.11648/j.se.20180601.14
    AB  - 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.
    VL  - 6
    IS  - 1
    ER  - 

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Author Information
  • Department of Informatics, Sekolah Tinggi Ilmu Komputer Pelita Indonesia, Pekanbaru, Indonesia

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