NURISNAINI, MUHAMMAD PARSTA (2014) Analisa Data Mining Menggunakan Algoritma Apriori Untuk Menentukan Relasi Pembelian Produk Pada Restoran Tengger Malang Brebes. Skripsi, Fakultas Ilmu Komputer.
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Abstract
Data mining is a process to analyze a set of data that can generate a new knowledge or information as a decision support tool. In the preparation of this thesis Association Rule authors apply the method as a function of data mining to discover patterns and rules (rules) of a series of data sets using the Apriori algorithm. This method is applied to the Tengger Malang Restaurant Brebes by analyzing a set of data that is stored in the transaction data. The application of this method is done by integrating the features of market basket analysis into an application. Determination of patterns and rules on Association rule method is done by determining the value of support and confidence resulting from the introduction of the transaction data. The results of this analysis are expected to be used by managers as a tool to support business decision on the Tengger Malang Restaurant Brebes.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > Teknik Informatika > INF Informatika Universitas Dian Nuswantoro > Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika Semantik 2013 > INF Informatika |
| Divisions: | Library of Congress Subject Areas > T Technology > Teknik Informatika > INF Informatika Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika Semantik 2013 > INF Informatika |
| Depositing User: | Psi Udinus |
| Date Deposited: | 08 Sep 2014 13:37 |
| Last Modified: | 22 Nov 2014 07:05 |
| URI: | http://eprints.dinus.ac.id/id/eprint/5342 |
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