SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERUMAHAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)
DOI:
https://doi.org/10.30865/mib.v1i2.327Abstract
Housing is a basic human need and needs to be nurtured and developed for the sake of the continuity and improvement of people's lives and settlements that can not be seen as a means of necessity solely, but more than that is the process of human settlements in creating a space of life to socialize themselves in expressing their identity. During this time customers make housing selection based on information from others, observing housing and experience by not considering the criteria needed so often cause new problems for the customer after buying housing. Problems such as inconvenience, credit installment problems and so forth. Decision support systems are generally defined as a system capable of producing solutions and problem- solving. Decision support systems are not intended to replace decision-making roles, but to assist and support decision makers. One of the most commonly used methods in decision support systems is the simple additive weighting (SAW) method. This simple additive weighting method can determine the preference value of each alternative, then perform the warfare process that can select the best alternative from a number of alternatives available.References
S. Amin, Free Properti Dalam 17 Hari. Yogyakarta: Andi, 2010.
K. Safitri, F. T. Waruwu, and M. Mesran, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN BERPRESTASI DENGAN MENGGUNAKAN METODE ANALYTICAL HIEARARCHY PROCESS (Studi Kasus : PT.Capella Dinamik Nusantara Takengon),†MEDIA Inform. BUDIDARMA, vol. 1, no. 1, Feb. 2017.
Mesran, G. Ginting, Suginam, and R. Rahim, “Implementation of Elimination and Choice Expressing Reality ( ELECTRE ) Method in Selecting the Best Lecturer ( Case Study STMIK BUDI DARMA ),†Int. J. Eng. Res. Technol. (IJERT, vol. 6, no. 2, pp. 141–144, 2017.
Kusumadewi, Multi-Attribute Decision. 2006.
M. Iswan, W. Fitriani, N. Mayasari, and A. P. U. Siahaan, “Tuition Reduction Determination Using Fuzzy Tsukamoto,†Int. J. Eng. Sci. Invent., vol. 5, no. 9, pp. 68–72, 2016.
S. Dewi, Wardoyo, Hartati, and Harjono, Fuzzy Multi Attribute Decision Making (Fuzzy MADM). Jakarta: Graha Ilmu, 2009.
Kusrini, Konsep dan Aplikasi Sistem Pendukung Keputusan. Yogyakarta: Andi, 2007.
Risawandi and R. Rahim, “Study of the Simple Multi- Attribute Rating Technique For Decision Support,†IJSRST, vol. 2, no. 6, pp. 491–494, 2016.
Y. Zai, M. Mesran, B. Nadeak, and I. Saputra, “PENERAPAN TECHNIQUE FOR ORDERS PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) UNTUK KEPUTUSAN PEMBERIAN KREDIT PADA CALON NASABAH (Studi Kasus : PT. SS Finance),†MEDIA Inform. BUDIDARMA, vol. 1, no. 1, Feb. 2017.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
