Clustering Key Performance Indicators using Convolutional Neural Networks

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Published Jun 30, 2025
https://doi.org/10.37339/e-komtek.v9i1.2322
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Vol. 9 No. 1 (2025)

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Dimas Arditya Pinandhito
Institut Teknologi PLN
Herman Bedi Agtriadi
Institut Teknologi PLN
Luqman
Institut Teknologi PLN

Abstract

Performance assessment based on Key Performance Indicators (KPI) is a crucial aspect in making strategic decisions in various industrial fields. Along with the development of artificial intelligence, the Convolutional Neural Network (CNN) method is starting to be applied to increase accuracy in KPI clustering. This research aims to analyze and compare the CNN approach in the KPI clustering process based on literature reviews from various scientific journals. The study results show that CNN is able to increase efficiency in KPI grouping with a better level of accuracy than conventional methods. This study is expected to provide deeper insight into the implementation of CNN in KPI analysis and open opportunities for further development in the future.

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Creative Commons License

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

How to Cite
Dimas Arditya Pinandhito, Herman Bedi Agtriadi, & Luqman. (2025). Clustering Key Performance Indicators using Convolutional Neural Networks. Jurnal E-Komtek (Elektro-Komputer-Teknik), 9(1), 333-339. https://doi.org/10.37339/e-komtek.v9i1.2322

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