IMPLEMENTATION OF ECLAT ALGORITHM FOR THE INVENTORY MANAGEMENT PROCESS

  • Alfian Fatkhul Huda
  • Arief Jananto
Keywords: Keyword : Implementation, Food Sales, Eclat

Abstract

 Abstract - Tokokita is a mini market that sells groceries, stationery and others. Stores We have used barcodes for the sale of all items that exist. But TokoKita often finds obstacles in the inventory of goods because they do not have guidelines for benchmarking in the preparation of the next inventory. TokoKita transaction data from November 2016 to October 2017 is used to explore information on the relationship of an item. The research method used in this study is CRISP-DM which consists of business understanding, data understanding, data preparation, modeling, evaluation, and deployment.

References

DAFTAR PUSTAKA
[1]. Arinda, dan Sulastri. (2017). Implementasi Data Mining Menggunakan Algoritma Eclat.
[2]. Larose, D.T. (2005) Discovering Knowledge in Data: An Introduction to Data Mining, John Wiley & Sons, Indianapolis
[3] Lubis, (2017), Analisa Algoritma Data Mining Eclat Dan Hui Miner.
[4]. Samodra, (2015), Implementasi algoritma eclat untuk fruent pattern mining pada penjualan barang.
[5]. Toomey,Dan.(2014).R for Data Science–R DataScienceTips,SolutionsandStrategies,packtPublishing.
Published
2018-12-11
How to Cite
Fatkhul Huda, A., & Jananto, A. (2018). IMPLEMENTATION OF ECLAT ALGORITHM FOR THE INVENTORY MANAGEMENT PROCESS. Information Technology and Telematics, 8(2). Retrieved from https://unisbank.ac.id/ojs/index.php/fti3/article/view/6632
Section
Articles