Yulia and Satiabudhi, Gregorius and HENDRATHA, STEFANI NATALIA (2018) Odoo Data Mining Module Using Market Basket Analysis. [UNSPECIFIED]
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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: | 29 Apr 2018 21:15 |
| Last Modified: | 27 Aug 2019 04:52 |
| URI: | https://repository.petra.ac.id/id/eprint/17803 |
