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

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

DSS

MOORA

Students

Criteria

Field practice

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.

Siregar, Victor Marudut Mulia

Hanafiah, M. Ali

Siagian, Nancy Florida

Sinaga, Kalvin

Yunus, Muhammad

Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November]; 270-278

2774-4353

Association for Scientific Computing, Electronics, and Engineering (ASCEE)

2022-11-22

Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal

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eng

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