Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Pada Toko Dimsum Madani Menggunakan Algoritma Apriori
DOI:
https://doi.org/10.59581/jusiik-widyakarya.v2i3.3805Keywords:
Data Mining, Market Basket Analysis, Association Method, Apriori AlgorithmAbstract
Data mining is a technique for extracting new information from data warehouses, information is seen as very important and valuable because by mastering information it is easy to achieve a goal, this makes everyone compete to obtain information, as is the case with the Dimsum business at Dimsum Madani.toko. This is located on Jalan Lampu gg. Pelita 4, Brayan Bengkel, East Medan, the location is close to many Brayan Resident's Houses. This of course affects sales levels. Increasing daily sales activity results in an accumulation of sales transaction data that continues to increase, thereby burdening data storage. Unfortunately, this data is only stored without further processing. In fact, this data collection holds valuable information.This research uses Market Basket Analysis with the Apriori Algorithm to find association patterns based on consumer shopping behavior. The goal is to identify items that are often purchased together. The research results showed that the combination of Seaweed Dimsum with Tofu Skin Spring Rolls had the highest support value (50%) and the highest confidence (75%).
References
Buulolo, E. (2017). ImplementasiI Algoritma Apriori Pada Sistem Persediaan Obat ( Studi Kasus : Apotik Rumah Sakit Estomihi ).
Fauzy, M., & Asror, I. (2016). Penerapan Metode Association Rule Menggunakan Algoritma Apriori Pada Simulasi Prediksi Hujan Wilayah Kota Bandung, II(2).
Gamarra, C., Guerrero, J. M., & Montero, E. (2016). A knowledge discovery in databases approach for industrial microgrid planning. Renewable and Sustainable Energy Reviews, 60, 615–630.
Gunadi, G., & Sensuse, D. I. (2012). Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Buku Dengan Menggunakan Algoritma Apriori Dan Frequent Pattern Growth ( FP-GROWTH ), 4(1).
Jiawei Han And Micheline Kamber. (2006). “ Data Mining : Concepts and Techiques ”. San Fransisco : Morgan Kaufmann Publishers
Putro, A. N. S., Ernawati, & Wisnubhadra, I. (2016). Market Basket Analysis Pada Magister Teknik Informatika , Universitas Atma Jaya Yogyakarta, 978–979
Santony, J. (2012). IMPLEMENTASI DATA MINING DENGAN METODE MARKET BASKET ANALYSIS Julius Santony 1, 5(2), 56–63
Santoso, H., Hariyadi, I. P., & Prayitno. (2016). Data Mining Analisa Pola Pembelian Produk. Teknik Informatika, (1), 19– 24.
Subarsono, D. (2014). Perbedaan Pelayanan Pada Ritel Tradisional Dengan Ritel Modern Di Kota Cirebon ., 2(2).
Wulandari, H. N. (2014). Pemanfaatan Algoritma Apriori untuk Perancangan Ulang Tata Letak Barang di Toko Busana.
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