Implementasi Algoritma Apriori Terhadap Data Penjualan di Toko Roti Ganda Pematangsiantar


Authors

  • Tri Ayu Lestari STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Ratih Ramadhanti STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Agus Perdana Windarto STIKOM Tunas Bangsa, Pematangsiantar, Indonesia

DOI:

https://doi.org/10.47065/bulletincsr.v1i2.106

Keywords:

Apriori; Data Mining; Consumer Interest; Sales Data; Ganda Bakery

Abstract

The tight market competition, especially for the sale of bread in Pematang Siantar City, makes all bakeries in that city have to maximize the quality of goods to increase sales and adjust consumer interest in the amount of goods produced. This research took place at the double bakery shop because this shop was the most popular. It aims to build a sales system by applying the apriopri algorithm data mining method in calculating sales data and turnover income from consumers through selecting the products that consumers are most interested in. Sources of data from this study were obtained through interviews and direct observation of consumers.

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References

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ARTICLE HISTORY

Published: 2021-04-30

Abstract View: 472 times
PDF Download: 516 times

How to Cite

Lestari, T. A., Ramadhanti, R., & Windarto, A. P. (2021). Implementasi Algoritma Apriori Terhadap Data Penjualan di Toko Roti Ganda Pematangsiantar. Bulletin of Computer Science Research, 1(2), 37-41. https://doi.org/10.47065/bulletincsr.v1i2.106

Issue

Vol. 1 No. 2 (2021): April 2021

Page: 37-41

Section

Articles

Copyright (c) 2021 Tri Ayu Lestari, Ratih Ramadhanti, Agus Perdana Windarto

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