The Preference Selection Index Method in Determining the Location of Used Laptop Marketing

  • Authors

    • Syafrida Hafni Sahir
    • Joli Afriani
    • Garuda Ginting
    • Barany Fachri
    • Dodi Siregar
    • Ramadona Simbolon
    • L Lindawati
    • Muhammad Syarizal
    • M Mesran
    • F Fadlina
    • Janner Simarmata
    https://doi.org/10.14419/ijet.v7i3.4.19869
  • Marketing Location, Used Laptop, PSI, Preference Selection Index, DSS

  • Abstract

    The rapid development of laptops has caused users to renew their laptops. This has resulted in many laptops that are still suitable for use, and are still in great demand by the public, even though the laptop is not new anymore. In order for the sale of used laptops to be right on target for those in need, of course, in this case, the marketing area selection must be right. The choice of marketing area is an important thing in sales activities. Many factors are needed in the selection of a marketing area, including rental prices, area, visitors, distance. In order for the decision to choose this marketing area to be effective, a decision support system is needed that can provide the right decision in processing alternatives. In this study, the author uses the Preference Selection Index (PSI) method. It is expected that the PSI method is able to process alternatives according to the specified criteria.

     

  • References

    1. [1] G.-H. Tzeng and J.-J. Huang, Multiple Attribute Decision Making Method And Applications. CRC Press, 2011.

      [2] G. Ginting, Fadlina, Mesran, A. P. U. Siahaan, and R. Rahim, “Technical Approach of TOPSIS in Decision Making,†Int. J. Recent Trends Eng. Res., vol. 3, no. 8, pp. 58–64, 2017.

      [3] A. Yanie et al., “Web Based Application for Decision Support System with ELECTRE Method,†J. Phys. Conf. Ser., vol. 1028, no. 1, 2018.

      [4] S. H. Sahir, R. Rosmawati, and K. Minan, “Simple Additive Weighting Method to Determining Employee Salary Increase Rate,†Int. J. Sci. Res. Sci. Technol., vol. 3, no. 8, pp. 42–48, 2017.

      [5] S. H. Sahir, R. Rosmawati, and R. Rahim, “Fuzzy model tahani as a decision support system for selection computer tablet,†Int. J. Eng. Technol., vol. 7, no. 2.9, pp. 61–65, 2018.

      [6] Fadlina, L. T. Sianturi, A. Karim, Mesran, and A. P. U. Siahaan, “Best Student Selection Using Extended Promethee II Method,†Int. J. Recent Trends Eng. Res., vol. 3, no. 8, pp. 21–29, 2017.

      [7] B. Vahdani, S. M. Mousavi, and S. Ebrahimnejad, “Soft computing-based preference selection index method for human resource management,†J. Intell. Fuzzy Syst., vol. 26, no. 1, pp. 393–403, 2014.

      [8] D. Siregar et al., “Multi-Attribute Decision Making with VIKOR Method for Any Purpose Decision,†J. Phys. Conf. Ser., vol. 1019, no. 1, 2018.

      [9] Mesran, P. Ramadhani, A. Nasution, D. Siregar, Fadlina, and A. P. U. Siahaan, “Implementation of Complex Proportional Assessment Method in the Selection of Mango Seeds,†Int. J. Sci. Res. Sci. Technol., vol. 3, no. 7, pp. 397–402, 2017.

      [10] Mesran, K. Tampubolon, R. D. Sianturi, F. T. Waruwu, and A. P. U. Siahaan, “Determination of Education Scholarship Recipients Using Preference Selection Index,†Int. J. Sci. Res. Sci. Technol., vol. 3, no. 6, pp. 230–234, 2017.

      [11] M. Madić, J. Antucheviciene, M. Radovanović, and D. Petković, “Determination of laser cutting process conditions using the preference selection index method,†Opt. Laser Technol., vol. 89, no. October 2016, pp. 214–220, 2017.

      [12] R. Attri and S. Grover, “Application of preference selection index method for decision making over the design stage of production system life cycle,†J. King Saud Univ. - Eng. Sci., vol. 27, no. 2, pp. 207–216, 2015.

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  • How to Cite

    Hafni Sahir, S., Afriani, J., Ginting, G., Fachri, B., Siregar, D., Simbolon, R., Lindawati, L., Syarizal, M., Mesran, M., Fadlina, F., & Simarmata, J. (2018). The Preference Selection Index Method in Determining the Location of Used Laptop Marketing. International Journal of Engineering & Technology, 7(3.4), 260-263. https://doi.org/10.14419/ijet.v7i3.4.19869

    Received date: 2018-09-18

    Accepted date: 2018-09-18