
Application of the KNN Algorithm for Predicting Data Card Sales at PT. XL Axiata Makassar
Author(s) -
Medy Wisnu Prihatmono,
Sitti Arni,
Johar Nur Iin,
Dikwan Moeis
Publication year - 2022
Publication title -
adi international conference series
Language(s) - English
Resource type - Journals
eISSN - 2774-9576
pISSN - 2747-2981
DOI - 10.34306/conferenceseries.v4i1.692
Subject(s) - product (mathematics) , service (business) , order (exchange) , computer science , the internet , k nearest neighbors algorithm , algorithm , database , business , world wide web , mathematics , marketing , artificial intelligence , finance , geometry
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%.