Implementation of Simple Additive Weighting Algorithm in Particular Instance

Authors

  • Muhammad Donni Lesmana Siahaan  Faculty of Computer Science, Universitas Pembangunan Panca Budi, Medan, Indonesia
  • Elviwani  Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
  • Asprina Br. Surbakti  Department of Informatics, Politeknik Poliprofesi Medan, Medan, Indonesia
  • Andre Hasudungan Lubis  Faculty of Engineering, Universitas Medan Area, Medan, Indonesia
  • Andysah Putera Utama Siahaan  Ph.D. Student of School of Computer and Communication Engineering, Universiti Malaysia Perlis, Kangar, Malaysia

Keywords:

Rank, SAW, Expert System, DCS

Abstract

In the problem of determining the proper level of sequence in a sorting problem, the Simple Additive Weighting (SAW) method is an easy-to-use technique. It can analyze cases based on the criteria used. The use of criteria values in this approach has an unlimited amount. The more criteria used, the higher the accuracy of the results obtained. There are two types of criteria, cost, and benefits. Cost is used if the higher the criterion value, the lower the chance to get the top score while the benefit is used if the higher the criterion value, the greater the chance to get the top position. This study explains how to apply SAW algorithm in solving sequence problems in various cases encountered. Using this method will solve decisions that can not be completed manually. It helps the admin in choosing the best decision in any particular instance.

References

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International Journal of Scientific Research in Science and Technology

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Published

2017-08-31

Issue

Volume 3, Issue 6, July-August-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Muhammad Donni Lesmana Siahaan, Elviwani, Asprina Br. Surbakti, Andre Hasudungan Lubis, Andysah Putera Utama Siahaan "Implementation of Simple Additive Weighting Algorithm in Particular Instance" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 3, Issue 6, pp.442-447, July-August-2017.