Nurrahman, Sintya Fadillah (2026) Analisis Pola Pembelian Pelanggan Menggunakan Algoritma Optimasi Tabu Search Pada Algoritma Asosiasi Frequent Pattern Growth. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Technological developments enable business owners to collect and store large volumes of data. A major challenge for companies and business owners is how to transform large volumes of data into information and insights that can be used to make profitable improvements. This study proposes "Customer Purchase Pattern Analysis Using the tabu search Optimization Algorithm on the Frequent Pattern Growth Association Algorithm". FP-Growth information and valuable insights are obtained by generating association rules. The tabu search algorithm is used to pre-process data so that the results of the tabu search algorithm are optimized data before the data is processed in the next process. The FP-Growth association algorithm is used to search for association rules. The results of this study indicate that tabu search optimization carried out on FP-Growth can significantly reduce the number of itemsets, reaching 94.7% at a minimum support of 0.001 with a result of 614 itemsets. Although the addition of tabu search has a fairly long time from an average of 0.55 to 16.2 seconds on large data, the addition of tabu search has been proven to provide higher quality results for business owners.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T58.6-58.62 Management Information Systems |
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| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | Sintya Fadillah Nurrahman | ||||||||||||
| Date Deposited: | 26 Feb 2026 07:55 | ||||||||||||
| Last Modified: | 27 Feb 2026 02:43 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/49916 |
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