Ardiansyah, Rikanda (2013) Sequential Pattern Mining Pada Data Transaksi Penjualan Menggunakan Algoritma Sequential Pattern Discovery Using Equivalent Classes (Spade). Sarjana thesis, Universitas Brawijaya.
Abstract
Semakin meningkatnya kebutuhan masyarakat menyebabkan semakin bertumbuhnya usaha ritel. Data transaksi yang dihasilkan dari usaha ritel ini dapat dimanfaatkan untuk mencari pola belanja konsumen. Salah satu pola yang dapat dicari adalah sequential pattern , dimana dicari pola urutan belanja konsumen. Algoritma Sequential Pattern Discovery Using Equivalent Classes (SPADE) adalah salah satu algoritma dalam sequential pattern mining, algoritma ini mencari frequent sequence dari data transaksi penjualanmenggunakan vertical database dan proses join sequence . Hasil dari algoritma SPADE ini adalah frequent sequence yang kemudian digunakan untuk membentuk rule. Rule ini diuji kekuatannya menggunakan nilai lift rasio. Berdasarkan hasil percobaan, algoritma SPADE akuratdandapat diterapkan pada data transaksi penjualan. Dari keseluruhanujicoba, hanyaditemukan 11 rule yang memilikinilai lift rasio di bawah 1. Kekuatan rule yang dihasilkan terpengaruh pada input nilai minimum support danjumlah data transaksi, sedangkan nilai minimum confidencetidakberpengaruhterhadapkekuatan rule.
Item Type: | Thesis (Sarjana) |
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Identification Number: | SKR/FTIK/2013/139/051307427 |
Subjects: | 000 Computer science, information and general works > 005 Computer programming, programs, data |
Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
Depositing User: | Endang Susworini |
Date Deposited: | 22 Aug 2013 10:12 |
Last Modified: | 23 Oct 2021 09:26 |
URI: | http://repository.ub.ac.id/id/eprint/145773 |
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