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A Decision Support System for “De Joglo” Restaurant Using Frequent Pattern Tree Data Mining

Handojo, Andreas and Budhi, Gregorius S. and Dwiyono, Nadia Andreani (2010) A Decision Support System for “De Joglo” Restaurant Using Frequent Pattern Tree Data Mining. The 2nd Makassar International conference on Electrical Engineering and Informatics 2010.

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    Abstract

    Now days, the technology developments in Indonesia is increasing fast. There’s so many companies that use computer technology to obtain information, this is including on the restaurants that use computer technology to recording sales transactions and data storage system. For a small restaurant, such technology may be sufficient for managers to making decisions. But, unlike on the quite large restaurant, which has more variety menu and many different models of customers. This will make managers will have more difficulty to decide anything because the data that must be consider and processed is quite a lot. So a system that can assist managers on making decisions that needed. Therefore in this research, will be build a computer based system that process sales data using Frequent Pattern tree data mining to create a decision support system for the restaurant manager. For example, if customers order food A, usually customers will order food B. So, the restaurant can increase sales of food A and food B by made it a food package that contains both of the food. But, even though the system can issue a correlation between sales order, expertise from the manager is still needed, for example to predict whether the decision is appropriate to be applied or not.

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Industrial Technology > Informatics Engineering Department
    Depositing User: Gregorius Satiabudhi
    Date Deposited: 24 Aug 2011 11:19
    Last Modified: 24 Aug 2011 11:19
    URI: http://repository.petra.ac.id/id/eprint/15107

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