PENERAPAN DATA MINING UNTUK PEMESANAN PEMESANAN PERCETAKAN BAHAN AJAR DENGAN ALGORITMA APRIORI (STUDI KASUS PERCETAKAN WENDY)

Nurmawaty Hutabarat, J. Sagala
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Abstract

Wendy's printing is one of the printing presses in collaboration with the University of Santo Thomas, especially in the field of computer science, the printing of Wendy is located on the faithful road of the UNIKA campus intersection. Print leaders and employees sometimes have difficulty finding out how much teaching material has been printed in one transaction so that the leader of Wendy's printing press is still manual/speculating in teaching material. The application of data mining for ordering the teaching of teaching materials at the computer science faculty of the University of Saint Thomas is designed to produce this rule can produce rules/rules of association that can be seen and analyzed the results, so that the printing leader can see a frequency of teaching materials that often occur in each transaction. Therefore, analysis and testing are carried out, it is hoped that it can provide information about the transaction patterns of teaching materials that often appear. So that it can help the owner in making decisions to order and print teaching materials.
数据挖掘应用于四月的教学算法(温迪的印刷案例研究)
Wendy’s printing是与圣托马斯大学合作的印刷机之一,特别是在计算机科学领域,Wendy’s printing位于UNIKA校园十字路口的忠实路。印刷领导和员工有时很难知道一次印刷了多少教材,因此Wendy's印刷厂的领导仍然在手工/推测教材。在圣托马斯大学计算机科学系应用数据挖掘对教材进行排序教学,旨在产生这种规则可以产生可以看到和分析结果的规则/关联规则,使印刷负责人可以看到每次交易中经常出现的教材的频率。因此,进行了分析和测试,希望能对经常出现的教材交易模式提供信息。这样就可以帮助业主做出订购和印刷教材的决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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