windayani, Ni komang and Yuliawati, Dona (2023) MENENTUKAN POLA PENJUALAN PRODUK DI TOKO OMEGA DENGAN ALGORITMA APRIORI. Skripsi thesis, Institut Informatika dan Bisnis Darmajaya.
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HALAMAN PERSETUJUAN.pdf Download (1MB) |
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HALAMAN PENGESAHAN.pdf Download (985kB) |
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ABSTRACT.pdf Download (553kB) |
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DAFTAR ISI.pdf Download (740kB) |
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BAB II.pdf Download (4MB) |
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BAB IV.pdf Download (5MB) |
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Abstract
To face economic competition in the trade sector, the right strategy is needed. Omega store is a grocery store that currently does not utilize its transaction data. So some of the stock items expired and the calculations were not correct when picking up the goods from the distributor. This research aimed to determine associative patterns of product transaction data that are often purchased simultaneously. The algorithm used to overcome this problem is Apriori with the KDD (Knowledge Discovery in Database) research method: Selection, preprocessing, transformation, data mining, and evaluation. The research results obtained that there were four products (Sunslik Shampoo, Days Croissant Chocolate, LifeBouy, Frisian Flag) in four combinations that met the minimum support of 30% and formed 61 Associationrules patterns that met the minimum confidence of 90% to be purchased simultaneously.
Item Type: | Thesis (Skripsi) |
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Subjects: | Ilmu Komputer eSkripsi |
Divisions: | Skripsi/TA & PKPM/KP - Fakultas Ilmu Komputer > Sistem Informasi |
Depositing User: | Mrs Ni Komang Windayani |
Date Deposited: | 14 Dec 2023 02:58 |
Last Modified: | 14 Dec 2023 02:58 |
URI: | http://repo.darmajaya.ac.id/id/eprint/14378 |
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