Human resources development strategy use Backpropagation Artificial Neural Networks

Authors

  • Erwin Panggabean STMIK Pelita Nusantara Medan, Sumatera Utara, Indonesia
  • Arjon Samuel Sitio STMIK Pelita Nusantara Medan, Sumatera Utara, Indonesia
  • Yulianto Lase STMIK Pelita Nusantara Medan, Sumatera Utara, Indonesia
  • Diana Junita STMIK Pelita Nusantara Medan, Sumatera Utara, Indonesia

DOI:

10.33395/sinkron.v8i3.12684

Keywords:

Recruitment strategy for new workers,Artificial neural networks, Backpropagation, Human resources , and Artificial intelligence.

Abstract

The strategy for developing human resources for recruitment so that at the same time becoming a reliable workforce as expected is the goal of personnel in certain offices or agencies. This step must be taken by the management of companies or institutions, both public and private, in order to improve human resources (HR). Until now, there has never been any research on the conventional acceptance of prospective employees to test how accurate their performance is. In this study the conventional selection system for prospective employees will be used as a basic concept to find methods for analyzing the performance of prospective employees using computer media with an artificial neural network system approach with the backpropagation method. So that the accuracy of the predictive patterns of prospective new employees is obtained. So that finally the personnel of government and private agencies obtain actual information about the performance of prospective employees who will be accepted as workers. The results of the study using hidden layers and learning constants obtained the fastest convergent value at 3377, and the final results of this study will be published in a national journal accredited SINTA 4 or better.

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Author Biographies

Erwin Panggabean, STMIK Pelita Nusantara Medan, Sumatera Utara, Indonesia

 

 

Arjon Samuel Sitio, STMIK Pelita Nusantara Medan, Sumatera Utara, Indonesia

 

 

Yulianto Lase , STMIK Pelita Nusantara Medan, Sumatera Utara, Indonesia

 

 

Diana Junita , STMIK Pelita Nusantara Medan, Sumatera Utara, Indonesia

 

 

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How to Cite

Panggabean, E., Sitio, A. S. ., Lase , Y. ., & Junita , D. . (2023). Human resources development strategy use Backpropagation Artificial Neural Networks. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(3), 1782-1791. https://doi.org/10.33395/sinkron.v8i3.12684

Issue

Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023

Section

Articles

License

Copyright (c) 2023 Erwin Panggabean, Arjon Samuel Sitio, Yulianto Lase , Diana Junita

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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