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Empowering Traditional Mentoring Matching Mechanism Selection Using Agent-Based System

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Innovations and Advances in Computer Sciences and Engineering

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Abstract

The need for higher technology to assist is clearly evident. Decision Support System is part of an information system that focuses on support and decision making management. For this research, the Intelligent Decision Support System Modelling for Mentoring is the proposed research domain and Faculty of Cognitive Sciences & Human Development, UNIMAS is the research location. The main function of the system is to provide a mechanism to match mentors and mentees based on several criteria of mentors suggested in past studies. The criteria included are the age, marital status, education, gender as well as vocational area of the mentors. The research also applies agent technology in its development of the Decision Support System. The ability of the agent to react freely with the surroundings and taxonomy without user instructions will speed up decision making. RAD methodology using Oracle 9i software is the foundation of implementation. The result from this research shows that this system can be introduced to improve the procedures available and to set the path for a more seamless, to have a better candidate selection and effective mentoring program.

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Authors and Affiliations

  1. Faculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Sarawak

    Ahmad Sofian Shminan, Iskandar Sarkawi, Mohd Kamal Othman & Mardhiah Hayati Rahim

Authors
  1. Ahmad Sofian Shminan
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  2. Iskandar Sarkawi
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  3. Mohd Kamal Othman
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  4. Mardhiah Hayati Rahim
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Correspondence to Ahmad Sofian Shminan .

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Editors and Affiliations

  1. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, U.S.A.

    Tarek Sobh

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Shminan, A.S., Sarkawi, I., Othman, M.K., Rahim, M.H. (2010). Empowering Traditional Mentoring Matching Mechanism Selection Using Agent-Based System. In: Sobh, T. (eds) Innovations and Advances in Computer Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3658-2_30

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  • DOI: https://doi.org/10.1007/978-90-481-3658-2_30

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-3657-5

  • Online ISBN: 978-90-481-3658-2

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