A Decision Support System For Selecting The Best Practical Work Students Using MOORA Method

Authors

  • Victor Marudut Mulia Siregar Department of Computer Engineering, Politeknik Bisnis Indonesia
  • M. Ali Hanafiah Department of Computer Engineering, Politeknik Bisnis Indonesia
  • Nancy Florida Siagian Department of Finance and Banking, Politeknik Bisnis Indonesia
  • Kalvin Sinaga Department of Computerized Accounting, Politeknik Bisnis Indonesia
  • Muhammad Yunus Sekolah Tinggi Akuntansi dan Manajemen Indonesia

DOI:

https://doi.org/10.31763/iota.v2i4.562

Keywords:

DSS, MOORA, Students, Criteria, Field practice

Abstract

This research aims to solve the problem of selecting the best practical work students at the Politeknik Bisnis Indonesia. The current selection of the best practical work students at PBI does not yet use a decision support system approach. This problem is solved by building a Decision Support System using Multi-Objective Optimization based on Ratio Analysis (MOORA) method. The criteria used in this DSS consist of discipline, teamwork, skills, quality of work, and attendance. As for the results of data processing from this study, the three best alternative data were obtained, namely alternative Vivi (A6) as the 1st best Practical Work Students with a score of Yi = 36.5954, Hafiz (A1) as the 2nd best Practical Work Students with a score of Yi = 34.5339, Cahaya (A3) as the 3rd best PKL student with a score of Yi = 33.4767. Through this decision support system that has been built, the selection of the best practical work students can be made quickly and effectively.

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Published

2022-11-22

Issue

Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November]

Section

Computers & Security