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Odoo Data Mining Module Using Market Basket Analysis

Yulia, and Satiabudhi, Gregorius and HENDRATHA, STEFANI NATALIA (2018) Odoo Data Mining Module Using Market Basket Analysis. [UNSPECIFIED]

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        Official URL: http://jicce.org/

        Abstract

        Odoo is an enterprise resource planning information system providing modules to support the basic business function in companies. This research will look into the development of an additional module at Odoo. This module is a data mining module using Market Basket Analysis (MBA) using FP-Growth algorithm in managing OLTP of sales transaction to be useful information for users to improve the analysis of company business strategy. The FP-Growth algorithm used in the application was able to produce multidimensional association rules. The company will know more about their sales and customers� buying habits. Performing sales trend analysis will give a valuable insight into the inner-workings of the business. The testing of the module is using the data from X Supermarket. The final result of this module is generated from a data mining process in the form of association rule. The rule is presented in narrative and graphical form to be understood easier.

        Item Type: UNSPECIFIED
        Uncontrolled Keywords: Data mining, FP-Growth, Market Basket Analysis, Odoo
        Subjects: Q Science > QA Mathematics > QA76 Computer software
        Divisions: Faculty of Industrial Technology > Informatics Engineering Department
        Depositing User: Admin
        Date Deposited: 30 Apr 2018 04:15
        Last Modified: 27 Aug 2019 11:52
        URI: http://repository.petra.ac.id/id/eprint/17803

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