Abyakta Wibisono, . (2026) PENERAPAN ALGORITMA FP-GROWTH UNTUK MENGANALISIS POLA PEMBELIAN KONSUMEN SEBAGAI DASAR REKOMENDASI STRATEGI PENJUALAN PADA BERLARIS CAFE. Tugas Akhir thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Sales transaction data generated by cafes contain valuable information that can be utilized to identify customer purchasing patterns and support business decision-making. However, in many cases, these transaction records are only stored as operational archives without being further analyzed to obtain meaningful insights. This study aims to implement the FP-Growth algorithm to analyze customer purchasing patterns at Berlaris Cafe and to generate association rules that can be used as the basis for developing effective sales strategy recommendations. The research employed a quantitative approach using sales transaction data extracted from the cafe's Point of Sale (POS) database. Prior to the analysis, the collected data underwent a preprocessing stage to ensure consistency and suitability for the mining process. The FP-Growth algorithm was then applied to discover frequent itemsets and generate association rules based on a minimum support value of 30% and a minimum confidence value of 100%. The analysis successfully identified several purchasing patterns that indicate strong relationships among menu items frequently purchased together by customers. These findings provide valuable insights into customer purchasing behavior and can assist the cafe management in designing more effective marketing strategies, including product bundling, promotional package development, and product placement optimization. The implementation of the FP-Growth algorithm demonstrates its effectiveness in extracting meaningful knowledge from transaction data and transforming historical sales records into useful information that supports data-driven decision-making. Therefore, this research contributes to the practical application of data mining techniques in the food and beverage industry, particularly in improving sales performance and enhancing business competitiveness through customer purchasing pattern analysis.
| Item Type: | Thesis (Tugas Akhir) |
|---|---|
| Additional Information: | [No.Panggil: 2010511119] [Pembimbing 1: Neny Rosmawarni, S.Kom., M.Kom.] [Pembimbing 2: Dr. Ridwan Raafi'udin, M.Kom.] [Penguji 1: Dr. Widya Cholil, M.I.T] [Penguji 2: Kharisma Wiati Gusti, M.T.] |
| Uncontrolled Keywords: | Keywords: Data Mining, FP-Growth, Association Rule, Customer Purchasing Patterns, Sales Strategy. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | ABYAKTA WIBISONO |
| Date Deposited: | 01 Sep 2026 01:31 |
| Last Modified: | 01 Sep 2026 01:31 |
| URI: | http://repository.upnvj.ac.id/id/eprint/52088 |
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