PREDICTING EMPLOYEE PRODUCTIVITY AT BHAYANGKARA HOSPITAL LAMPUNG USING ARTIFICIAL NEURAL NETWORKS

Authors

  • Silvia Ningsih Institut Teknologi dan Bisnis Ahmad Dahlan Author

Keywords:

Artificial Neural Network, Employee Productivity, Lampung Hospital,

Abstract

In recent decades, computer-based applications have been developed to assist in predicting problems by representing them as mathematical models and solving them through iterations that leverage computational speed. To ensure the resulting predictions are precise and accurate, these applications must incorporate intelligent systems—such as Artificial Neural Networks—capable of modeling complex problems by learning data relationship patterns.An Artificial Neural Network is an information processing paradigm inspired by biological neural systems—much like the way the human brain processes information. The fundamental element of this paradigm is a novel information processing system structure. Like humans, artificial neural networks learn from examples. They are designed to solve specific problems, such as pattern recognition or classification, through the learning process

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References

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Juszczyk, M. (2021). Analysis of Labour Efficiency Supported by the Ensembles of Neural Networks on the Example of Steel Reinforcement Works.

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Published

2026-07-31

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Section

Articles

How to Cite

Silvia Ningsih. (2026). PREDICTING EMPLOYEE PRODUCTIVITY AT BHAYANGKARA HOSPITAL LAMPUNG USING ARTIFICIAL NEURAL NETWORKS. Interdisciplinary Journal of Global and Multidisciplinary, 2(3), 729-737. https://jurnal-ijgam.or.id/index.php/IJGAM/article/view/376

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