DEVELOPMENT OF A SOFTWARE SYSTEM FOR PREDICTING EMPLOYEE RATINGS

Gulnar Balakayeva


Al-Farabi Kazakh National University (Kazakhstan)
https://orcid.org/0000-0001-9440-2171

Dauren Darkenbayev

dauren.kadyrovich@gmail.com
Al-Farabi Kazakh National University (Kazakhstan)
https://orcid.org/0000-0002-6491-8043

Mukhit Zhanuzakov


Al-Farabi Kazakh National University (Kazakhstan)
https://orcid.org/0000-0003-0001-8422

Abstract

The article deals with the problems of increasing the efficiency of enterprises and developing a system for assessing the rating of employees of an enterprise. Aspects of motivation for compliance with standards by employees and structural divisions are also considered; they were studied because employees are the main driving force of any enterprise. In order to properly evaluate it, many companies need rating systems. In this article, the authors conducted a study and developed a software package for assessing employees of an enterprise. This article describes how to develop a ranking prediction system. MongoDB is used as a database, as the fastest way to innovate, providing the flexibility and ease of use of a database.


Keywords:

employee ratings, employee evaluation system, Python, MongoDB

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Published
2023-09-30

Cited by

Balakayeva, G., Darkenbayev, D., & Zhanuzakov, M. (2023). DEVELOPMENT OF A SOFTWARE SYSTEM FOR PREDICTING EMPLOYEE RATINGS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 13(3), 121–124. https://doi.org/10.35784/iapgos.3723

Authors

Gulnar Balakayeva 

Al-Farabi Kazakh National University Kazakhstan
https://orcid.org/0000-0001-9440-2171

Authors

Dauren Darkenbayev 
dauren.kadyrovich@gmail.com
Al-Farabi Kazakh National University Kazakhstan
https://orcid.org/0000-0002-6491-8043

Authors

Mukhit Zhanuzakov 

Al-Farabi Kazakh National University Kazakhstan
https://orcid.org/0000-0003-0001-8422

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