CD Skripsi

Penerapan Algoritma Apriori Untuk Data Mining Pada Data Transaksi Penjualan Toko Angkasa Mart

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ABSTRACT
Data Mining is a method of extracting information that has the potential to reveal new insights from previously unknown data. In this context, Angkasa Mart Store faces the challenge of declining sales for underperforming products. To address this issue, the store employs a data mining approach by implementing the Apriori algorithm, which is also known as association rules. The adopted solution to tackle the sales problem of underperforming products is the creation of bundled packages that combine the less popular items with popular product combinations based on the generated association rules. The research methodology utilized in this study is CRISP-DM (Cross-Industry Standard Process for Data Mining), providing a structured framework for data analysis. The sales transaction data used encompasses the period from June to July 2022, involving a total of 65,892 purchased items. After data processing, 10 useful association rules are derived as products for the bundled packages. The research findings yield two recommendations for package bundle composition. The first recommendation involves two suggestions for bundling products that are mutually relevant. These recommendations are obtained through the conducted data mining analysis and have received positive feedback from the store. Additionally, the second recommendation consists of 21 bundled packages comprising irrelevant products. Despite lacking a strong relationship between the items, these recommendations are also considered effective in the context of sales strategy development.
Keywords: Data Mining, Apriori Algorithm, Bundle, Association Rule

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1907111436

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1907111436

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

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