A Model of Non-ASN Employee Performance Assessment Based on the
ROC and MOORA Methods
Dublin Core
Title
A Model of Non-ASN Employee Performance Assessment Based on the
ROC and MOORA Methods
ROC and MOORA Methods
Subject
: Non ASN employees, ROC, MOORA, Performance Appraisal, Confusion Matrix, Ranking
Description
This study aims to assess the performance of non-ASN employees at the Human Resources Development Agency (BPSDM),
East Kalimantan Province, Indonesia in order to assist organizers in determining the feasibility of extending work contracts.
The performance of 37 non-ASN employees has been assessed based on 12 criteria including honesty, discipline, loyalty,
responsibility, courtesy, commitment, ability and skills, neatness, communication, achievement, absence, and violations. In this
study, the Rank Order Centroid (ROC) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods
have been implemented to obtain rankings. Meanwhile, the confusion matrix (CM) method has also been used to measure the
accuracy of both methods. Based on the experiment, the ROC method has been used to achieve the criteria weight and the
MOORA method has been utilized to rank all non-ASN employees based on the highest score. Where the CM suitability level
of 81.1% has been gained so that the ranking of 37 non-ASN employees can be revealed. The study indicates that both methods
can be implemented as alternative models in assessing the performance of non-ASN employees. Therefore, these methods are
quite effective, efficient, and relatively easy to use.
East Kalimantan Province, Indonesia in order to assist organizers in determining the feasibility of extending work contracts.
The performance of 37 non-ASN employees has been assessed based on 12 criteria including honesty, discipline, loyalty,
responsibility, courtesy, commitment, ability and skills, neatness, communication, achievement, absence, and violations. In this
study, the Rank Order Centroid (ROC) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods
have been implemented to obtain rankings. Meanwhile, the confusion matrix (CM) method has also been used to measure the
accuracy of both methods. Based on the experiment, the ROC method has been used to achieve the criteria weight and the
MOORA method has been utilized to rank all non-ASN employees based on the highest score. Where the CM suitability level
of 81.1% has been gained so that the ranking of 37 non-ASN employees can be revealed. The study indicates that both methods
can be implemented as alternative models in assessing the performance of non-ASN employees. Therefore, these methods are
quite effective, efficient, and relatively easy to use.
Creator
Haviluddin1
, Edy Budiman2
, Nurfaizi Amin3
, Edy Budiman2
, Nurfaizi Amin3
Publisher
Department of Informatics, Faculty of Engineering, Universitas Mulawarman. East Kalimantan, Indonesia
Date
29-04-2022
Contributor
Fajar bagus W
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
Haviluddin1
, Edy Budiman2
, Nurfaizi Amin3, “A Model of Non-ASN Employee Performance Assessment Based on the
ROC and MOORA Methods,” Repository Horizon University Indonesia, accessed June 25, 2025, https://repository.horizon.ac.id/items/show/9161.
ROC and MOORA Methods,” Repository Horizon University Indonesia, accessed June 25, 2025, https://repository.horizon.ac.id/items/show/9161.