Model for Optimizing Human Resources Performance in the Banking: Analytical Hierarchy Process Method

Authors

  • Satria Abadi Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA Cawangan Perak, Kampus Tapah, 35400 Tapah, Perak, Malaysia
  • Muhammad Idris Fakultas Ekonomi dan Bisnis, Universitas Muhammadiyah Palembang, Kota Palembang, Sumatera Selatan 30116, Indonesia
  • Suhazlan Suhaimi Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA Cawangan Perak, Kampus Tapah, 35400 Tapah, Perak, Malaysia
  • Deshinta Arrova Dewi Faculty of Data Science and Information Technology, INTI International University, 71800 Nilai, Negeri Sembilan, Malaysia

DOI:

https://doi.org/10.37934/araset.54.2.133142

Keywords:

AHP, Resources efficacy, Employee, Human resources

Abstract

Human resources are one of the factors that greatly influence a company's success, for this reason this research was conducted, namely building a model for measuring human resources in the banking sector. This research uses a qualitative method with random judgment sampling, namely selecting samples with criteria that are appropriate to the banking sector, data processing methods using the Analytical Hierarchy Process, namely looking for weights and rankings of criteria and sub-criteria, from this research four main criteria and twelve sub-criteria, and the sub-criterion with the highest weight is the Training Instruction sub-criterion 0.395, while the lowest weight sub-criteria is People Orientation with a value of 0.247. By creating this model, it is hoped that banks can fulfil decent work and increase economic growth.

Downloads

Download data is not yet available.

Author Biography

Satria Abadi, Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA Cawangan Perak, Kampus Tapah, 35400 Tapah, Perak, Malaysia

satriaabadi@meta.upsi.edu.my

Downloads

Published

2024-10-04

How to Cite

Abadi, S., Idris, M., Suhaimi, S., & Dewi, D. A. . (2024). Model for Optimizing Human Resources Performance in the Banking: Analytical Hierarchy Process Method. Journal of Advanced Research in Applied Sciences and Engineering Technology, 133–142. https://doi.org/10.37934/araset.54.2.133142

Issue

Section

Articles

Most read articles by the same author(s)