A Decision Support System for Computer Chair Selection: Leveraging the Simple Additive Weighting Method

Hadi, Aldi Yusup and Istiono, Wirawan (2023) A Decision Support System for Computer Chair Selection: Leveraging the Simple Additive Weighting Method. Journal of Advances in Mathematics and Computer Science, 38 (10). pp. 198-208. ISSN 2456-9968

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Abstract

Aims: The objective of this study is to develop and construct a decision support system utilizing the simple additive weighting method to aid in the selection of a computer chair. Subsequently, user satisfaction with the created decision support system for computer chair selection will be assessed.

Study Design: This research is motivated by the challenges frequently encountered in the furniture industry, as uncovered through interviews with the proprietor of a furniture store.

Place and Duration of Study: Department of Informatics, Universitas Multimedia Nusantara, between January 2023 and July 2023.

Methodology: Problem identification with the furniture owner is the initial step in this research. A literature review is then conducted to gather information about the research's theory. Design and analysis are then conducted based on the findings of the literature review. Subsequently, an application is developed, followed by testing and comparison. Finally, evaluation and documentation are completed to draw conclusions from this research.

Results: The research study employed the EUCS technique to obtain conclusions, and a questionnaire was administered to assess user satisfaction with the system being investigated. The result obtained suggests a satisfaction rate of 80.47%. Based on the findings acquired, it can be deduced that the execution of the development of the decision support system for the selection of computer chairs was efficiently carried out.

Conclusion: Based on the outcomes of the user satisfaction test utilising the EUCS questionnaire, it can be inferred that the design of the decision assistance system for selecting computer chairs is deemed acceptable and effectively utilized by users.

Item Type: Article
Subjects: Research Scholar Guardian > Computer Science
Depositing User: Unnamed user with email support@scholarguardian.com
Date Deposited: 21 Nov 2023 05:13
Last Modified: 21 Nov 2023 05:13
URI: http://science.sdpublishers.org/id/eprint/2212

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