Management Information System Employee Bonus Reward with TOPSIS Method as Decision Support

Authors

  • Wahyuddin Albra  Department of Management, Universitas Malikussaleh, Aceh, Indonesia
  • Mohd. Heikal  Department of Management, Universitas Malikussaleh, Aceh, Indonesia
  • Muammar Khaddafi  Department of Accounting, Universitas Malikussaleh, Aceh, Indonesia
  • A Apridar  Department of Economics, Universitas Malikussaleh, Aceh, Indonesia
  • D Damanhur  Department of Islamic Economics, Universitas Malikussaleh, Aceh, Indonesia
  • I Ichsan  Department of Economics, Universitas Malikussaleh, Aceh, Indonesia

Keywords:

Decision Support System, TOPSIS Method, MIS, Bonus Reward

Abstract

A piece of information on reality will be more efficient and effective with the application of computerization because everything is required quickly and accurate. Decision support system or known as Decision Support System is another form of term management Information System. Decision support system to determine the bonus is one form of decision support system used to help provide decisions to the leadership according to specific criteria, The most common problem is a large number of employees can complicate the giving of the right bonus.This research aims at designing and making the system to determine employees who are eligible to receive a gift by using the Technique Order Preference By Similarity To Ideal Solution (TOPSIS) method, the expected results of the leadership can get recommendations of employees who are eligible for bonuses based on specific criteria.

References

  1. R. Rahim, "Study of the Simple Multi-Attribute Rating Technique For Decision Support," International Journal of Scientific Research in Science and Technology (IJSRST), vol. 2, no. 6, pp. 491-494, 2016.
  2. R. Rahim, "Study Approach of Simple Additive Weighting For Decision Support System," International Journal of Scientific Research in Science and Technology (IJSRST), vol. 3, no. 3, pp. 541-544, 2017.
  3. H. Nurdiyanto and R. Rahim, "Decision Support System for Electrical Power Selection to Household Users," INA-Rxiv, pp. 1-5, 2017.
  4. E. Turban, J. E. Aronson and T.-P. Liang, Decision Support System and Intelligent System, US: Prentice-Hall, 2005.
  5. R. Rahim and S. Syamsuddin, "Study Approach Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)," International Journal of Recent Trends in Engineering & Research, vol. 3, no. 3, pp. 268-285, 2017.
  6. J. Jasri, D. Siregar and R. Rahim, "Decision Support System Best Employee Assessments with Technique for Order of Preference by Similarity to Ideal Solution," INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH, vol. 3, no. 3, pp. 6-17, 2017.
  7. J. Mustajoki and R. P. H?m?l?inen, "Smart-Swaps ? A decision support system for multicriteria decision analysis with the even swaps method," Science Direct, vol. 44, no. 1, pp. 313-325, 2007.
  8. Jasri, D. Siregar and R. Rahim, "Decision Support System Best Employee Assessments with Technique for Order of Preference by Similarity to Ideal Solution," INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH, vol. 3, no. 3, pp. 6-17, 2017.
  9. S. Opricovic and G.-H. Tzeng, "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, vol. 156, pp. 445-455, 2002.
  10. T. Ding, L. Liang, M. Yang and H. Wu, "Multiple Attribute Decision Making Based on Cross-Evaluation with Uncertain Decision Parameters," Mathematical Problems in Engineering, vol. 2016, pp. 1-10, 2016.
  11. Mesran, G. Ginting, R. Rahim and Suginam, "Implementation of Elimination and Choice Expressing Reality (ELECTRE) Method in Selecting the Best Lecturer (Case Study STMIK BUDI DARMA)," International Journal of Engineering Research & Technology (IJERT), vol. 6, no. 2, pp. 141-144, 2017.
  12. Khairul, M. Simare-mare and A. P. U. Siahaan, "Decision Support System in Selecting The Appropriate Laptop Using Simple Additive Weighting," International Journal of Recent Trends in Engineering & Research, vol. 2, no. 12, pp. 215-222, 2016.
  13. Adriyendi, "Multi-Attribute Decision Making Using Simple Additive Weighting and Weighted Product in Food Choice," I.J. Information Engineering and Electronic Business, vol. 6, pp. 8-14, 2015.
  14. A. ?atuszy?ska, "Multiple-Criteria Decision Analysis Using Topsis Method For Interval Data In Research Into The Level Of Information Society Development," Folia Oeconomica Stetinensia, vol. 13, no. 2, pp. 63-76, 2014.
  15. S. H. Zanakis, A. Solomon, N. Wishart and S. Dublish, "Multi-attribute decision making: A simulation comparison of select methods," Science Direct, vol. 107, no. 3, pp. 507-529, 1998.
  16. G. Kabir and M. A. A. Hasin, "COMPARATIVE ANALYSIS OF TOPSIS AND FUZZY TOPSIS FOR THE EVALUATION OF TRAVEL WEBSITE SERVICE QUALITY," International Journal for Quality research, vol. 6, no. 3, pp. 169-185, 2012.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2017-12-31

Issue

Volume 3, Issue 8, November-December-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]
Wahyuddin Albra, Mohd. Heikal, Muammar Khaddafi, A Apridar, D Damanhur, I Ichsan, " Management Information System Employee Bonus Reward with TOPSIS Method as Decision Support, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 8, pp.570-574, November-December-2017.