Perancangan dan Pembuatan Modul Data Mining Market Basket Analysis pada Odoo dengan Studi Kasus Supermarket X

Stefani Natalia Hendratha(1*), Yulia Yulia(2), Gregorius Satia Budhi(3),


(1) Progam Studi Teknik Informatika
(2) Program Studi Teknik Informatika
(3) Program Studi Teknik Informatika
(*) Corresponding Author

Abstract


Odoo Enterprise Resource Planning (ERP) system storing company’s transaction data. However, Odoo doesn't have a module for managing data. It takes a module for managing data into useful information.

Based on the above problems, a module for data mining Market Basket Analysis is being designed. This module uses FP-Growth algorithm by utilizing the sales transaction data.

For the testing, this module using data from X Supermarket. The final result of this module is an association rule from data mining process. The rule is shown in the form of narrative and graphics making them easier to understand

Keywords


Odoo; FP-Growth; Data Mining; Market Basket Analysis

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References


Han, J., Kamber, M., & Pei, J. (2012). Data Mining: Concepts and Techniques (3rd ed.). San Fransisco: Morgan Kaufman.

Han, J., Pei, J., Yin, Y., & Mao, R. (2004). Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. Data Mining and Knowledge Discovery 8, 53-87.

Larose, D. T. (2005). Discovering Knowledge in Data: An Introduction to Data Mining. Hoboken: Wiley-Interscience, Jogn Wiley & Sons, Inc.

Moss, G. (2013). Working with OpenERP. Brimingham: Packt Publishing Ltd

Reis, D. (2015). Odoo Development Essentials. Brimingham: Packt Publishing.

Riggs, S., & Krossing, H. (2010). PostgreSQL 9 Administration Cookbook. Brimingham: Packt Publishing Ltd.

Susanto, S., & Suraydi, D. (2010). Pengantar Data Mining Menggali Pengetahuan dan Bongkahan Data. Yogyakarta: Andi.

Tan, P. T., Steinbach, M., & Kumar, V. (2005). Introduction to Data Mining. New York: Pearson.

Wu, X. D., & Kumar, V. (2009). The Top Ten Algorithms in Data Mining. Boca Raton: Chapman and Hall/CRC.

Zheng, Z., Kohavi, R., & Mason, L. (2001). Real World Performance of Association Rule Algorithms. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 7, 401-405.


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