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

Authors

  • Nurmawaty Hutabarat STMIK Pelita Nusantara
  • Jijon Raphita Sagala STMIK Pelita Nusantara

DOI:

https://doi.org/10.46880/mtk.v4i2.66

Keywords:

Data Mining, Wendy Printing, Apriori Algorithm, Association

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 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 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 is
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.

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Published

10-09-2018

How to Cite

[1]
N. . Hutabarat and J. R. . Sagala, “PENERAPAN DATA MINING UNTUK PEMESANAN PEMESANAN PERCETAKAN BAHAN AJAR DENGAN ALGORITMA APRIORI (STUDI KASUS : PERCETAKAN WENDY)”, METHODIKA, vol. 4, no. 2, pp. 25–32, Sep. 2018.