ANALISIS KAIDAH ASOSIASI ANTAR ITEM DALAM TRANSAKSI PEMBELIAN MENGGUNAKAN DATA MINING DENGAN ALGORITMA APRIORI (STUDI KASUS: MINIMARKET GUN BANDUNGAN, JAWA TENGAH)

Authors

  • Adyawangkara Katon Prasidya Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana
  • Charitas Fibriani Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana
Views: 1006 Downloads: 1446 DOI: https://doi.org/10.12962/j24068535.v15i2.a629

Abstract

Data-data transaksi pembelian di minimarket yang selama ini hanya disimpan sebagai arsip dapat dimanfaatkan untuk menjawab masalah pengadaan stok barang, penentuan strategi promosi, dan penataan barang. Solusi pemecahan masalah-masalah tersebut dapat diperoleh menggunakan algoritma apriori, yang dapat digunakan untuk membantu menemukan kaidah asosiasi dalam pembelian item di minimarket. Informasi mengenai kaidah asosiasi dalam transaksi pembelian konsumen dapat dimanfaatkan untuk melakukan pengadaan stok barang yang lebih tepat guna dengan melakukan pengadaan stok barang yang berimbang pada item-item yang sering dibeli secara bersamaan, membuat strategi promosi yang lebih potensial untuk mendongkrak penjualan dengan mengacu pada kombinasi item yang sering dibeli secara bersamaan, dan menata barang di minimarket dengan berorientasi pada item-item yang sering dibeli secara bersamaan. Penelitian ini bertujuan menemukan kaidah asosiasi dalam pembelian item-item di minimarket untuk memecahkan masalah pengadaan stok barang, penentuan strategi promosi, dan penataan barang di minimarket.

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References

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Published

2017-07-01

Issue

Vol 15, No. 2, Juli 2017

Section

Articles

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How to Cite

[1]
A. K. Prasidya and C. Fibriani, “ANALISIS KAIDAH ASOSIASI ANTAR ITEM DALAM TRANSAKSI PEMBELIAN MENGGUNAKAN DATA MINING DENGAN ALGORITMA APRIORI (STUDI KASUS: MINIMARKET GUN BANDUNGAN, JAWA TENGAH)”, JUTI, vol. 15, no. 2, pp. 173–184, Jul. 2017, doi: 10.12962/j24068535.v15i2.a629.