Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Mantik
Serfasius Gowasa
Universitas Prima Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Determination of Eligibility for Employee Transfers Using the Mabac Algorithm Allwin M Simarmata; Serfasius Gowasa
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jurnalmantik.Vol5.2021.1470.pp1096-1103

Abstract

Employee transfer is a common activity in an organization. The transfer is intended to position the employee in the right group so that the employee will obtain job satisfaction while also providing maximum performance. The difficulties detected in this study are the large number of employees, which makes it difficult for the management to make decisions in a fast time. To solve the problems identified in this study, the authors are interested in designing the feasibility determination for employee transfers by applying the MABAC method. MABAC stands for Multi-Attributive Border Approximation Area Comparison. MABAC was proposed by Pamucar and Cirovic. The basic concept of the MABAC method is viewed from the basis of the distance function criteria from each alternative which is seen from the prediction area of ??the border. Based on the results of the application of the MABAC algorithm for the employee mutation process involving 60 alternatives with 8 assessment criteria, the decision was obtained that the employee selected for employee transfer was A19.
Co-Authors Allwin M Simarmata