Application of the KNN Algorithm for Predicting Data Card Sales at PT. XL Axiata Makassar

Authors

  • Medy STMIK Profesional
  • Sitti Arni STMIK Profesional
  • Iin STMIK Profesional
  • Dikwan STMIK Profesional

DOI:

https://doi.org/10.34306/conferenceseries.v4i1.692

Keywords:

Card, Prediction, K-Nearest Neighbor

Abstract

XL Axiata Company, TBK. Is an internet access service provider from the many operators in Indonesia and has to provide the best service in communication in the ease of communication services. The mainstay of communication service products owned by XL Axiata, TBK for the wider community is XL Prioritas Unlimited which includes three types of packages, namely silver, gold and platinum. People using these three packages have different levels of demand. Order the number of products ordered every month by the company, should be made based on the prediction of the number of previous sales. This study was conducted to assess product sales in the form of K-Nearest Neighbor (KNN) classification modeling. The number of datasets used is 500 records with details of 90% training and 10% testing. The results obtained are predictions of 0.98%.

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Published

2022-01-25

How to Cite

Prihatmono, M. W. ., Arni, S., Iin, J. N. ., & Moeis, D. (2022). Application of the KNN Algorithm for Predicting Data Card Sales at PT. XL Axiata Makassar. Conference Series, 4(1), 59–64. https://doi.org/10.34306/conferenceseries.v4i1.692