APRIORI DATA MINING ALGORITHM TO DETERMINE RESTAURANT MENU ASSOCIATIONS

Authors

  • Riama Sibarani Universitas Satya Negara Indonesia
  • Akmal Kurniawan Universitas Satya Negara Indonesia

Keywords:

Apriori Algorithm, Association, Combination, Menu Package

Abstract

Data mining is a process to dig or mine data from piles of data that have been for years. The pile of data that is considered waste can be used and used to provide an added value for the company. Some data mining algorithms include Apriori Algorithms. The Ariori algorithm is done by integrating the market basket analysis fiture and generating a list of menu packets from existing transactions into an application by analyzing a set of data stored in the transaction data. The combination of the menu on the transaction will result in the association menu which is a new menu package. This analysis is expected to be utilized by restaurant owners as a tool to support culinary business at Soto Ngawi Restaurant DepokJawa Barat.

References

Kusrini. (2007). Penerapan Algoritma Apriori Pada Data Mining Untuk Mengelompokkan Barang Berdasarkan Kecenderungan Kemunculan Bersama Dalam Suatu Transaksi.

Kusrini, A. T. (2009). Algoritma Data Mining, 149-157.

Larose, Daniel T. (2005). Discovering Knowladge in Data : An Introduction to Data Mining, John Willey and Sons : Inc.

Leni, Metty. (2006). Aplikasi Data Mining Menggunakan Asosiasi Untuk Analisa Keranjang Pasar Pada Data Transaksi Penjualan Apotek.

Rumbaugh, J. J. (2005). The Unified Modeling Language User Guide.

Sunarfrihantono, B. (2002). PHP dan MySQL untuk Web.

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Published

2023-11-02

How to Cite

Sibarani, R., & Kurniawan, A. (2023). APRIORI DATA MINING ALGORITHM TO DETERMINE RESTAURANT MENU ASSOCIATIONS. Jurnal Ilmiah Universitas Satya Negara Indonesia, 1(1), 27–33. Retrieved from https://ejournal.usni.ac.id/index.php/jisni/article/view/36