Aji, Saputra (2022) Penerapan Algoritma Apriori Untuk Penentuan Strategi Promosi Pada Toko Friend Sport. S1 Sistem Informasi thesis, STMIK Widya Cipta Dharma.
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Abstract
Melalui promosi penjualan, perusahaan dapat menarik konsumen baru, mendorong konsumen membeli lebih cepat, lebih banyak, lebih sering, meningkatkan impulse buying (konsumen tanpa rencana sebelumnya) yang bermanfaat baru produsen ataupun pengecer yang menawarkan promosi penjualan. Aturan asosiasi dapat digunakan sebagai pertimbangan kebijakan promosi sesuai dengan parameter minimum support dan minimum confidence yang diinginkan. Algoritma apriori termasuk jenis aturan asosiasi pada data mining. Apriori adalah algoritma yang diusulkan metode ini di gunakan untuk mendapatkan itemset yang sering di beli oleh pelanggan pada Friend Sport. Informasi ini dapat digunakan sebagai dasar promosi, seperti menempatkan Celana Bola sebagai produk andalan utama yang akan dipromosikan oleh Friend Sport. =========================================================================================== Through sales promotions, companies can attract new consumers, encourage consumers to buy faster, more, and more often, and increase impulse buying (consumers without prior plans) that benefit new manufacturers or retailers who offer sales promotions. Association rules can be used as promotional policy considerations following the desired minimum support and minimum confidence parameters. The a priori algorithm is a type of association rule in data mining. Apriori is the proposed algorithm, this method is used to get the itemsets that are often purchased by customers at Friend Sport. This information can be used as a basis for promotion, such as placing Football Pants as the main flagship product that will be promoted by Friend Sport.
| Item Type: | Thesis (S1 Sistem Informasi) |
|---|---|
| Additional Information: | Pembimbing 1 : Dr. Heny Pratiwi S.Kom., M.Pd., M.TI Pembimbing 2 : Bartolomius Harpad S.Kom., M.Kom |
| Uncontrolled Keywords: | Data mining, Apriori, Support, Confidence, RapidMiner |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Sistem Informasi |
| Depositing User: | Mr Aji Saputra |
| Date Deposited: | 21 Jul 2022 06:18 |
| Last Modified: | 21 Jul 2022 06:18 |
| URI: | http://repository.wicida.ac.id/id/eprint/4162 |
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