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IJIET 2023 Vol.13(1): 19-24 ISSN: 2010-3689
doi: 10.18178/ijiet.2023.13.1.1775

Development of an Online Matching System (OMS) for Studying in the Graduate Program

Kanchana Pattrawiwat

Abstract—Database management systems are essential for achieving competitiveness, enabling organizations to formulate proactive strategies matching their target audience effectively. Thus, this study aimed to develop an online matching system (OMS) for studying in the Graduate Program at Srinakharinwirot University. In this case, we used the System Development Life Cycle (SDLC), a conceptual model that includes system planning, analysis, design, development, and implementation as well as operation. System efficiency evaluation by three experts and satisfaction with system evaluation by 60 users evaluated the system performance of the research instruments. According to the findings, the OMS for studying in the Graduate Program received an excellent rating (X̅ = 4.72), and the overall satisfaction of using this database system was high (X̅ = 4.28). The OMS for studying in the Graduate Program is critical toward value creation that suits the requirements of the students and enhances marketability to reach the target effectively.

Index Terms—Online matching system, studying, graduate program, systems development life cycle.

Kanchana Pattrawiwat is with Behavioral Science Research Institute, Srinakharinwirot University, Thailand.
*Correspondence: kanchanapa@g.swu.ac.th

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Cite: Kanchana Pattrawiwat, "Development of an Online Matching System (OMS) for Studying in the Graduate Program," International Journal of Information and Education Technology vol. 13, no. 1, pp. 19-24, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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