ANALISIS DATA TRANSAKSI UNTUK MENENTUKAN POLA PEMBELIAN KONSUMEN DI TAMKEN RESTO & CAFE DENGAN ALGORITMA FP-GROWTH

NILSEN, FELIXIUS and Arsalan, Osvari and Rizki, M.Qurhanul (2024) ANALISIS DATA TRANSAKSI UNTUK MENENTUKAN POLA PEMBELIAN KONSUMEN DI TAMKEN RESTO & CAFE DENGAN ALGORITMA FP-GROWTH. Other thesis, Sriwijaya University.

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Abstract

Penelitian ini menerapkan algoritma FP-Growth untuk menganalisis Pola Pembelian Konsumen di Tamken Resto & Cafe di Palembang. Dengan fokus pada FP-Tree dan Association Rules, analisis dilakukan pada 9.371 data transaksi, menghasilkan 341 pola pembelian dengan minimum support 0,25% dan minimum confidence 50%. Pentingnya FP-Tree dan Association Rules terlihat dalam kemampuannya memberikan keterkaitan antaritem yang kompleks, seperti hubungan dengan support 20,01%, confidence 50,83%, dan lift ratio 1,24. Berdasarkan hasil tersebut dapat memberikan wawasan mendalam mengenai pola pembelian spesifik, berkontribusi pada perancangan strategi pemasaran dan penjualan. Hasil penelitian ini menjadi panduan berharga bagi pengambil keputusan di industri kuliner dengan pemahaman yang lebih mendalam terkait preferensi konsumen. Penekanan pada pemilihan nilai kriteria minimum support yang tepat menegaskan urgensi mendapatkan aturan asosiasi yang relevan dan signifikan. Penelitian ini berkontribusi pada dimensi teoretis dan praktis dalam pengembangan wawasan mengenai Pola Pembelian Konsumen melalui FP-Growth di sektor kuliner.

Item Type: Thesis (Other)
Uncontrolled Keywords: Pola Pembelian Konsumen, Data Mining, Association Rules, FP�Tree, FP-Grow
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Felixius Nilsen
Date Deposited: 22 Mar 2024 07:21
Last Modified: 22 Mar 2024 07:21
URI: http://repository.unsri.ac.id/id/eprint/142237

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