Issue |
E3S Web Conf.
Volume 359, 2022
The 7th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2022)
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Article Number | 05002 | |
Number of page(s) | 14 | |
Section | Information System Management and Environment | |
DOI | https://doi.org/10.1051/e3sconf/202235905002 | |
Published online | 31 October 2022 |
Key Performance Indicator for Multi Branch Employee Performance Assessment Based on Simple Additive Weighting
Institut Teknologi Telkom Purwokerto, 53147 D.I Panjaitan Street No. 128, Indonesia
* Corresponding author: author@email.org
The success of the company in managing human resources is very crucial, especially companies that have different locations. Different locations are termed multi-branch, which is management of human resource performance based on clear and anti-subjective assessment parameters and carried out regularly. The performance parameters of employees in a company can be influenced by various factors including motivation, competence, and perceived organizational support. Futhermore, the company parameters will concern about the cost and benefits. Managing a business with one building location will be different from managing a business in many locations, especially with the number of subsidiaries reaching 13 locations. The complexity of corporate governance will be higher, therefore a mechanism is needed to simplify this complexity from point of view of the Simple Additive Weighting Method where the determinant of the variable is initiated as Ci-Cn to obtain a normalized matrix of R for Benefit (B) and Cost (C) values. This research, the Benefit values are C1,C3,C4 while the Cost values are C2,C5,C6. The normalization for Benefit is initiated as Rij = (Xij/XijMax) and Rij = (XijMin/Xij)for the initiation of the Cost of calculating normalization R. The results obtained are then processed into a normal matrix with the initiation W = [(C1),(C2),(C3),(C4),(C5),(C6)].
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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