Mengoptimalkan Lalu-Lintas Perbelanjaan dengan Mengatur Derajat Kepentingan Antar Etalase

Authors

  • Hendy Tannady Tan Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v3i1.2449

Keywords:

retail, layout, association

Abstract

The high rate of retail industry growth absolutely needs good attention and well-constructive improvement. We often see that the consumer waste their time to shop in super market. With Data Mining and its relation with association function, it is expected to give inputs and contribution for the revolution of placing procedure of display case layout in every retail businesses, either in big supermarket or the small one. The result of this research is that the association pattern was gained among several display-case objects, and the distance between display cases is the determined variable of the implementation of association tabulation.

Dimensions

Plum Analytics

References

Berry, M.W. & Browne, M. (2006). Lecture Notes in Data Mining. Singapore: World Scientific.

Fitzsimmons, James A. & Fitzsimmons, Mona J. (2001). Service Management: Operations, Strategy, Information Technology (3rd edition). New York: McGraw-Hill.

Larose, D.T. (2005). Discovering Knowledge in Data: an Introduction to Data Mining. New Jersey: John Wiley & Sons.

Lovelock, C.H. and Wright, L. (1999). Principles of Service Management and Marketing. New Jersey: Prentice-Hall.

Susanto, S. (2007). Data Mining: Mengenal Fungsi Utama dalam Klasifikasi, Clustering dan Association Rule. Bandung: Parahyangan Catholics University.

Veronika, S. M. (2002). Data mining sebagai solusi bisnis. Jurnal Integral, 7(1). Parahyangan Catholics University, Bandung, Indonesia.

Downloads

Published

2012-06-01

Issue

Section

Articles
Abstract 217  .
PDF downloaded 153  .