KURNIAWATI, VIVI (2020) IMPLEMENTASI DATA MINING UNTUK MENGANALISA POLA PENJUALAN BARANG DI TOKO ELENDA HIJAB KALIWUNGU MENGGUNAKAN ALGORITMA APRIORI. Undergraduate thesis, Universitas Stikubank.
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Abstract
Elenda Hijab merupakan sebuah toko yang bergerak pada bidang fashion dengan menyediakan berbagai kebutuhan muslimah yang beralamat di Perum. Kaliwungu Indah Blok A2 No. 1, RT. 02/10, Protomulyo, Kaliwungu Selatan, Kendal. Dari berbagai macam kebutuhan muslimah, pemilik usaha terkadang mengalami kesulitan dalam menyediakan stok yang optimal agar customer senang dengan pelayanan Elenda Hijab karena kebutuhannya selalu terpenuhi. Pemilik usaha memerlukan langkah baru dalam mengembangkan strategi pemasarandengan meninjau pola hubungan antar barang dalam transaksi penjualan yang dibeli secara bersamaan. Implementasi data mining pada Elenda Hijab menggunakan algoritma apriori ini dapat menghasilkan aturan asosiasi yang bisa membantu dalam proses analisa pola penjualan barang untuk menemukan barang yang sering dibeli oleh customer. Dengan mendapatkan pengetahuan dari algoritma ini, aturan asosiasi yang dihasilkan dapat digunakan sebagai referensi dalam pengembangan strategi pemilik usaha. Elenda Hijab is one of the shops that engage in fashion sectors by providing any Muslim Women’s needs that located in Perum. Kaliwangu Indah, Block A2 No. 1, RT 02/10, Protomulyo, South Kaliwangu, Kendal. From any various Muslim Women’s needs, the owner sometimes finds difficulty to supply optimal stocks in order to make the customers pleased with Elenda Hijab services because their needs are satisfied. The owner shall require new steps to develop a marketing strategy through observing patterns among the items in the sales transaction that are simultaneously bought. Data mining implementation on Elenda Hijab that applied this apriori algorithm can establish association regulation that can help the process of pattern analysis in selling items for finding items that are mostly bought by the customers. By obtaining knowledge from this algorithm, association regulation that has been produced can be used as references to improve the owner's strategies.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | 16.01.53.0170 SKR.I.05.01.1900 |
| Uncontrolled Keywords: | Data mining, Asosiasi, Algoritma Apriori Data mining, Association, Apriori Algorithm |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty / Institution: | Fakultas Teknologi Informasi > Program Studi Teknik Informatika |
| Depositing User: | H Hayati |
| Date Deposited: | 10 Sep 2020 06:37 |
| Last Modified: | 10 Sep 2020 06:37 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/7067 |
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