The Implementation of Multi-Objective Optimization on the Basis of Ratio Analysis Method to Select the Lecturer Assistant Working at Computer Laboratorium

  • Authors

    • Tonni Limbong
    • Janner Simarmata
    • S Sriadhi
    • A R S Tambunan
    • Enny Keristiana Sinaga
    • Naeklan Simbolon
    • H M P Simarmata
    • A L S Siahaan
    • Indira Ruth Septarini
    • Indra Kelana Jaya
    • Maulana Arafat Lubis
    • Ilham Khairi Siregar
    • Henry Kristian Siburian
    • Agung Purnomo
    • Fatkul Anam
    • Delyanti Azzumarito Pulunga
    • Parulian Siagian
    • Parasian DP Silitonga
    • Romanus Damanik
    • Sorang Pakpahan
    2018-04-15
    https://doi.org/10.14419/ijet.v7i2.13.16919
  • Lecturer assistant, Decision Support System, MOORA Method
  • A lecturer assistant is expected to be professional when dealing with the score or decision. Being professional, the lecturer assistant will be constantly respected by the students. The lecturer assistant should be able to make use of the time to keep the disciplinary. Selecting and determining the lecturer assistant at Computer Science of Unika St. Thomas Medan are conducted by the phases of selecting and taking value of the test score, the semester of lecturer assistant candidate, the number of classes to be assisted, cumulative grade point achievement, and the score of the assisted course. The Method of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) is in the part of Decision Support System introduced by Brauers dan Zavadkas. This method is the multi-objective optimization technique which is successfully applied to solve the various complicated decision-making and well-used in terms of lecturer assistant selection due to its simple calculation and easiness to understand.

     

     

  • References

    1. [1] S. Sriadhi, S. Gultom, R. Restu, and J. Simarmata, “The Effect of Tutorial Multimedia on the Transformator Learning Outcomes Based on the Students ’ Visual Ability The Effect of Tutorial Multimedia on the Transformator Learning Outcomes Based on the Students ’ Visual Ability,†IOP Conf. Ser. Mater. Sci. Eng. 384 012059, 2018.

      [2] J. Simarmata, “Prototype Application Multimedia Learning for Teaching Basic,†vol. 7, pp. 264–266, 2018.

      [3] A. S. Ahmar et al., “Lecturers’ understanding on indexing databases of SINTA, DOAJ, Google Scholar, SCOPUS, and Web of Science: A study of Indonesians,†in Journal of Physics: Conference Series, 2018, vol. 954.

      [4] A. Yanie et al., “Web Based Application for Decision Support System with ELECTRE Method,†J. Phys. Conf. Ser., vol. 1028, no. 1, p. 12054, Jun. 2018.

      [5] M. D. T. . Nasution et al., “Decision Support Rating System with Analytical Hierarchy Process Method,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 105–108, 2018.

      [6] T. Suryanto, R. Rahim, and A. S. Ahmar, “Employee Recruitment Fraud Prevention with the Implementation of Decision Support System,†J. Phys. Conf. Ser., vol. 1028, no. 1, p. 12055, Jun. 2018.

      [7] W. K. M. Brauers and E. K. Zavadskas, “The MOORA method and its application to privatization in a transition economy by A new method : the MOORA method,†vol. 35, no. 2, 2006.

      [8] P. Karande and S. Chakraborty, “Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection,†Mater. Des., vol. 37, no. 2, pp. 317–324, 2012.

      [9] J. Simarmata, A. Djohar, J. Purba, and E. A. Juanda, “Design of a Blended Learning Environment Based on Merrill’s Principles,†J. Phys. Conf. Ser., vol. 954, no. 1, 2018.

      [10] D. Napitupulu et al., “Analysis of Student Satisfaction Toward Quality of Service Facility,†J. Phys. Conf. Ser., vol. 954, no. 1, 2018.

      [11] M. Chand and T. Raj, “A comparative study of multi criteria decision making approaches for risks assessment in supply chain A comparative study of multi criteria decision making approaches for risks assessment in supply chain Mahesh Chand * and Tilak Raj Ravi Shankar,†no. January, 2015.

      [12] E. Aytac, “The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem,†no. 2015, 2016.

      [13] R. Rahim et al., “TOPSIS Method Application for Decision Support System in Internal Control for Selecting Best Employees,†J. Phys. Conf. Ser., vol. 1028, no. 1, p. 12052, Jun. 2018.

      [14] Y. Rossanty, D. Hasibuan, J. Napitupulu, M. D. T. P. Nasution, and R. Rahim, “Composite performance index as decision support method for multi case problem,†Int. J. Eng. Technol., vol. 7, no. 2.9, pp. 33–36, 2018.

      [15] B. Singaravel, T. Selvaraj, and S. Vinodh, “Multi Objective Optimization of Turning Parameters Using Combined Moora and Entropy Method,†vol. 40, no. 1, pp. 101–111, 2015.

      [16] S. H. Sahir, R. Rosmawati, and R. Rahim, “Fuzzy model tahani as a decision support system for selection computer tablet,†Int. J. Eng. Technol., vol. 7, no. 2.9, pp. 61–65, 2018.

      [17] A. Indahingwati, M. Barid, N. Wajdi, D. E. Susilo, N. Kurniasih, and R. Rahim, “Comparison Analysis of TOPSIS and Fuzzy Logic Methods On Fertilizer Selection,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 109–114, 2018.

  • Downloads

  • How to Cite

    Limbong, T., Simarmata, J., Sriadhi, S., R S Tambunan, A., Keristiana Sinaga, E., Simbolon, N., M P Simarmata, H., L S Siahaan, A., Ruth Septarini, I., Kelana Jaya, I., Arafat Lubis, M., Khairi Siregar, I., Kristian Siburian, H., Purnomo, A., Anam, F., Azzumarito Pulunga, D., Siagian, P., DP Silitonga, P., Damanik, R., & Pakpahan, S. (2018). The Implementation of Multi-Objective Optimization on the Basis of Ratio Analysis Method to Select the Lecturer Assistant Working at Computer Laboratorium. International Journal of Engineering & Technology, 7(2.13), 352-356. https://doi.org/10.14419/ijet.v7i2.13.16919