Implementation of The Apriori Algorithm Method to Analyze the Pattern of Motorcycle Sales at PT. Alpha Scorpio

Authors

  • Oloan Sihombing Universitas Prima Indonesia
  • Veronica T. D. Simamora Universitas Prima Indonesia
  • Vivian P. Leo Universitas Prima Indonesia
  • Petrus Kristian P. Marpaung Universitas Prima indonesia

DOI:

https://doi.org/10.31294/paradigma.v24i2.1279

Keywords:

Inventory Pattern, Apriori Method, Sale

Abstract

This study discusses how to make a pattern in the motorcycle sales process, where every month the sales of each type of motorcycle must be different. So that every employee is overwhelmed in classifying the types of items that will be recommended in adding stock. The goal is to keep consumer demand met every month. Based on the research that has been done, this study concludes: the results of research with a minimum support limit of 30% and a minimum confidence of 70%, form 20 rules every year. One of the rules established is that if a 2X4 motorcycle is sold, the Yamaha A 90 type is sold with a support value of 45% and a confidence value of 74.46%.This study discusses how to make a pattern in the motorcycle sales process, where every month the sales of each type of motorcycle must be different. So that every employee is overwhelmed in classifying the types of items that will be recommended in adding stock. The goal is to keep consumer demand met every month. Based on the research that has been done, this study concludes: the results of research with a minimum support limit of 30% and a minimum confidence of 70%, form 20 rules every year. One of the rules established is that if a 2X4 motorcycle is sold, the Yamaha A 90 type is sold with a support value of 45% and a confidence value of 74.46%.

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Published

2022-09-02

How to Cite

Sihombing, O., Simamora, V. T. D., Leo, V. P., & Marpaung, P. K. P. (2022). Implementation of The Apriori Algorithm Method to Analyze the Pattern of Motorcycle Sales at PT. Alpha Scorpio. Paradigma, 24(2), 139-143. https://doi.org/10.31294/paradigma.v24i2.1279

Issue

Vol. 24 No. 2 (2022): September 2022 Period

Section

Articles

License

Copyright (c) 2022 Oloan Sihombing, Veronica T. D. Simamor, Vivian P. Leo, Petrus Kristian P. Marpaung

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