Determining housing location using weighted product

Oktafianto, Ajat Sudrajat, Razaleigh Muhamat @ Kawangit, Abdul Ghafar Don, Miftachul Huda, Amel Dhea Saputri, Aliza Abdul Latif, Andino Maseleno

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Housing is a set of houses that are established with different functions for the owner with equipped infrastructure that is equipped according to the owner wishes. In determining the location of housing in Pringsewu district, the criteria were needed in accordance with the consumer's wish. This study will be explained on how to determine the location of housing in Pringsewu district using weighted product method. Because the weighted product method can help decision making in determining the location of housing, the calculation only resulted the greatest value that will be chosen as the best alternative.

Original languageEnglish
Pages (from-to)3563-3568
Number of pages6
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number4
DOIs
Publication statusPublished - 1 Jan 2018

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Decision Making
Decision making

Keywords

  • Decision support system
  • Housing location
  • Weighted product

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Determining housing location using weighted product. / Oktafianto; Sudrajat, Ajat; Muhamat @ Kawangit, Razaleigh; Don, Abdul Ghafar; Huda, Miftachul; Saputri, Amel Dhea; Latif, Aliza Abdul; Maseleno, Andino.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 4, 01.01.2018, p. 3563-3568.

Research output: Contribution to journalArticle

Oktafianto ; Sudrajat, Ajat ; Muhamat @ Kawangit, Razaleigh ; Don, Abdul Ghafar ; Huda, Miftachul ; Saputri, Amel Dhea ; Latif, Aliza Abdul ; Maseleno, Andino. / Determining housing location using weighted product. In: International Journal of Engineering and Technology(UAE). 2018 ; Vol. 7, No. 4. pp. 3563-3568.
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