A IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISIS POLA KONSUMEN PADA TOKO KIMIA OMEGA BERBASIS WEBSITE
Abstract
Toko Kimia Omega merupakan usaha yang bergerak di bidang penjualan bahan kimia dan bibit parfum laundry dengan jumlah data transaksi yang besar. Namun, data transaksi tersebut hanya disimpan sebagai arsip sehingga rekomendasi produk masih dilakukan menggunakan Microsoft Excel tanpa memanfaatkan pola pembelian pelanggan. Penelitian ini bertujuan untuk membangun sistem berbasis website guna menganalisis pola pembelian konsumen menggunakan algoritma Apriori untuk menemukan aturan asosiasi antar produk.
Algoritma Apriori diterapkan untuk mencari frequent itemsets berdasarkan nilai minimum support dan minimum confidence yang telah ditentukan. Hasil penelitian menunjukkan bahwa sistem berhasil menghasilkan aturan asosiasi 2-itemset tertinggi, yaitu SULFAT => GARAM/NACL dengan nilai confidence sebesar 92,98%. Selain itu, aturan asosiasi 3-itemset tertinggi yang diperoleh adalah {GARAM/NACL, SULFAT} => TEXAPON dengan nilai confidence sebesar 96,23%. Informasi tersebut dapat digunakan oleh pemilik Toko Kimia Omega dalam menentukan tata letak produk, strategi bundling, strategi cross-selling, serta manajemen stok yang lebih efektif.
Kata Kunci: Algoritma Apriori; Pola Pembelian; Association Rules; Data Mining; Website
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