Issue |
MATEC Web Conf.
Volume 215, 2018
The 2nd International Conference on Technology, Innovation, Society and Science-to-Business (ICTIS 2018)
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Article Number | 01003 | |
Number of page(s) | 5 | |
Section | Emerging Technologies and Applied Science | |
DOI | https://doi.org/10.1051/matecconf/201821501003 | |
Published online | 16 October 2018 |
Comparison Analysis of Simple Additive Weighting (SAW) and Weigthed Product (WP) In Decision Support Systems
Institut Teknologi Padang, Informatics Engineering Study Program, Padang, Indonesia
* Corresponding author: dedewtp339@yahoo.com
Decision support system is a way to help decision maker to choose the best decision from several available alternatives. In the process of decision support system required criteria and weights to be used in the calculation process. Simple additive weighting (SAW) and Weigthed product (WP) are methods in decision support systems that have a search method taking into account the weights held by the criteria. comparison analysis is performed to look at between the WP and SAW methods, methods that have a higher level of accuracy and are in accordance with the conditions. The SAW method uses a weighted weaning system whereas the WP method uses multiplication in calculating the attribute rating. From the weight of each criteria there will be used in the calculation to produce several alternatives. The object of the case study in this study is the determination of people’s business credit in the banking world using seven criteria. the criteria used are personal character, credit status, business condition, income, guarantee, guarantee condition and installment. Results of testing using SAW method and WP method, it can help compare the best alternative level results by using the same data and criteria, so both methods can be used as consideration in decision making. WP method gives clear cost and benefit value compared to SAW, but in SAW result gives more clear result because it is based on predetermined value and weight.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (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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