Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Pada Toko Dimsum Madani Menggunakan Algoritma Apriori

Authors

  • Ahmad Syah Lubis Universitas Potensi Utama
  • Shella Alivia Ahmad Siahaan Universitas Potensi Utama
  • Nurul Nazli Universitas Potensi Utama
  • Nita Syahputri Universitas Potensi Utama

DOI:

https://doi.org/10.59581/jusiik-widyakarya.v2i3.3805

Keywords:

Data Mining, Market Basket Analysis, Association Method, Apriori Algorithm

Abstract

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

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Published

2024-07-05

How to Cite

Ahmad Syah Lubis, Shella Alivia Ahmad Siahaan, Nurul Nazli, & Nita Syahputri. (2024). Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Pada Toko Dimsum Madani Menggunakan Algoritma Apriori. Jurnal Sistem Informasi Dan Ilmu Komputer, 2(3), 126–136. https://doi.org/10.59581/jusiik-widyakarya.v2i3.3805

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