Determining Optimal Solutions in Learning Outcome Using One to One Fixed Method
- DOI
- 10.2991/aer.k.211222.002How to use a DOI?
- Keywords
- solid assignment problem; one-to-one fixed method; optimal solution
- Abstract
General assignment problems include n tasks that must be assigned to m workers where each worker has different competencies in completing each task. This research discusses the problem of solving minimization case assignments using a new method, namely the One-to-One Fixed Method. Completion of the One-to-One Fixed method starts by seeing whether the data obtained is balanced or not, if not then an additional dummy, if yes then proceed to the next stage, calculate the penalty by subtracting each row and column with the smallest element, and combining the results of subtracting rows and column into one table. Next, count those that are affected by the line 2 times and are added and are not affected by the line minus the smallest cost that is not affected by the line, if you have not found the optimal result then repeat the steps until you find the optimal result. In the problem of assigning the minimization case after using the One to One Fixed method on a 3 × 3 matrix, the total cost to be incurred by the Islamic Higher Education is $22. With the allocation: learning outcome 1 is done by lecturer 3 at Department 3 = $ 6, learning outcome 2 is done by lecturer 1 at Department 2 = $ 9, learning outcome 3 is done by lecturer 2 at Department 1 = $ 7.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Elis Ratna Wulan AU - Dindin Jamaluddin AU - Wildan Noor Ramadhan PY - 2021 DA - 2021/12/23 TI - Determining Optimal Solutions in Learning Outcome Using One to One Fixed Method BT - Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021) PB - Atlantis Press SP - 7 EP - 11 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.211222.002 DO - 10.2991/aer.k.211222.002 ID - Wulan2021 ER -