Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal MediaTIK
Heni Sulistiani
Universitas Teknokrat
Computer Science & IT Education Social Sciences Other

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

Found 1 Documents
Search

 1 
Comparing MAUT and SMART for Best Employee Selection Using a Decision Support Approach at Kopi Twenty Dimas Putra Nugroho; Heni Sulistiani
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.13835

Abstract

Selecting the best employees at Kopi Twenty relies on subjective managerial assessment. This study compares the convergence, effectiveness, and stability of multi-attribute utility theory (MAUT) and simple multi-attribute rating technique (SMART) in a decision support system for employee selection. A descriptive quantitative approach based on computational simulation was applied to five employees using four criteria: attendance, store arrangement, customer service, and discipline. Sensitivity was assessed in two scenarios involving a change in criterion weights and the addition of an extreme alternative. Under baseline conditions, MAUT and SMART produced identical preference scores and rankings. In the weight variation scenario, the reported rankings changed but remained identical across the methods. When an extreme alternative was added, the reported MAUT scores for the original employees changed with the value range, whereas their SMART scores remained unchanged. The study concludes that computational convergence does not establish the substantive fairness or validity of managerial decisions, which also depend on criterion weights and initial assessments. The system should therefore serve as an explanatory decision support instrument alongside managerial judgment.
Co-Authors Dimas Putra Nugroho