A Model of Non-ASN Employee Performance Assessment Based on the ROC and MOORA Methods

  • Haviluddin Haviluddin Universitas Mulawarman
  • Edy Budiman Universitas Mulawarman
  • Nurfaizi Amin Universitas Mulawarman
Keywords: Pegawai non ASN, ROC, MOORA, Penilaian Kinerja, Confusion Matrix, Ranking

Abstract

This study aims to assess the performance of non-ASN employees at the Human Resources Development Agency (BPSDM), East Kalimantan Province, Indonesia, 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 based on 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 for assessing the performance of non-ASN employees. Therefore, these methods are pretty effective, efficient, and relatively easy to use.

 

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Author Biographies

Haviluddin Haviluddin, Universitas Mulawarman

Program Studi Informatika,
Fakultas Teknik

Edy Budiman, Universitas Mulawarman

Program Studi Informatika,
Fakultas Teknik

Nurfaizi Amin, Universitas Mulawarman

Program Studi Informatika,
Fakultas Teknik

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Published
2022-04-29
How to Cite
Haviluddin, H., Budiman, E., & Amin, N. (2022). A Model of Non-ASN Employee Performance Assessment Based on the ROC and MOORA Methods. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 6(2), 315 - 321. https://doi.org/10.29207/resti.v6i2.3961
Section
Information Technology Articles