PENERAPAN ALGORITMA APRIORI PADA USAHA THRIFTING

Authors

  • Alifia Azzahra Universitas Nusa Putra
  • Dudih Gustian Universitas Nusa Putra

DOI:

https://doi.org/10.66865/5mg9q652

Keywords:

Data mining, Algoritma apriori, Rappidminer, Thrifting, Assosiation rule

Abstract

Dalam penelitian ini, algoritma Apriori digunakan pada platform e-commerce Random Thrift untuk mengevaluasi jumlah produk fashion bekas yang dijual. Ada penurunan yang signifikan dalam pendapatan bulanan dari Mei hingga Juli 2023. Analisis pola transaksi menemukan kombinasi produk terlaris, seperti jaket & hoodie dan tracktop & hoodie, yang sangat laris. Aturan asosiasi yang mendukung strategi pemasaran dibuat melalui penggunaan algoritma Apriori melalui RapidMiner. Seperti yang ditunjukkan oleh hasil penelitian, memahami pola asosiasi konsumen dapat meningkatkan penjualan. Untuk mengatasi penurunan pendapatan dan mendukung perkembangan perusahaan, Random Thrift disarankan untuk menerapkan strategi pemasaran yang didasarkan pada temuan ini.

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Published

2024-02-29

Issue

Vol. 1 No. 2 (2024): Februari 2024

Section

Articles

License

Copyright (c) 2024 Alifia Azzahra, Dudih Gustian

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How to Cite

PENERAPAN ALGORITMA APRIORI PADA USAHA THRIFTING. (2024). Jurnal Komputer Dan Sistem Informasi, 1(2), 68-75. https://doi.org/10.66865/5mg9q652