Analisis Market Basket Berbasis Web Menggunakan Algoritma FP-Growth untuk Bundling Produk

Toga Micolasdo Sitanggang; Dede Sahrul  Bahri

doi:10.69693/jesa.v3i2.45

Authors

Toga Micolasdo Sitanggang Universitas Pamulang
Dede Sahrul Bahri Universitas Pamulang

DOI:

https://doi.org/10.69693/jesa.v3i2.45

Keywords:

FP-Growth, Association Rule Mining, Product Bundling, Market Basket Analysis, Web-Based System

Abstract

PT Aqualuxe Perkasa Abadi merupakan perusahaan manufaktur produk home care skala kecil yang belum memanfaatkan data transaksi harian untuk strategi pemasaran. Penelitian ini bertujuan mengimplementasikan algoritma FP-Growth (Frequent Pattern Growth) untuk menganalisis pola penjualan dan merancang sistem informasi berbasis web multi-role yang menghasilkan rekomendasi bundling produk secara otomatis. Pengembangan sistem menggunakan model Waterfall, meliputi analisis kebutuhan, praproses data, serta implementasi FP-Growth melalui library mlxtend Python yang dipanggil dari backend PHP melalui mekanisme subprocess. Sistem membedakan dua peran pengguna, yaitu Admin dan Owner, yang diatur melalui Role-Based Access Control. Pengujian terhadap data transaksi aktual selama satu bulan (7.994 transaksi unik, 36 SKU) dengan minimum support 0,05, minimum confidence 0,5, dan minimum lift 1,0 menghasilkan 10 frequent itemset dan 3 rekomendasi bundling yang valid. Rule terkuat, Rubber Sealant Spray ke Lem Anti Bocor 1kg, memiliki confidence 0,87 dan lift 1,84. Pengujian black box pada tujuh modul fungsional membuktikan sistem berjalan sesuai kebutuhan. Temuan ini menunjukkan bahwa FP-Growth dapat memberikan landasan berbasis data bagi perusahaan skala kecil untuk merancang strategi bundlingnya.

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