Rekomendasi Strategi Penjualan Bundling Di Cafe Sz Point Menggunakan Algoritma Frequent Pattern Growth

Harby, Muhammad Faiz (2024) Rekomendasi Strategi Penjualan Bundling Di Cafe Sz Point Menggunakan Algoritma Frequent Pattern Growth. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

This research aims to produce recommendations for effective bundling sales strategies for Cafe SZ Point, an SME located on Jalan Sambikerep No.25, Sambikerep, Kec. Sambikerep, Surabaya, East Java. Cafe SZ Point just started its business on March 11 2023. Previously, this cafe had carried out bundling promotions that were less effective, resulting in losses and a decrease in income. This happens because the cafe has not maximized the use of sales data from Lunapos to identify consumer trends, purchasing patterns and customer preferences. Without optimal use of sales data, targeted marketing strategies are difficult to design. This research uses the Frequent Pattern Growth (FP-Growth) algorithm using the CRISP-DM (Cross-Industry Standard Process for Data Mining) method approach to analyze transaction data from Cafe SZ Point and find customer purchasing patterns that frequently appear. The analysis results show that it can be applied to determine menu purchasing patterns by forming association rules that can be used for sales strategies. It is hoped that the bundling strategy recommendations resulting from this research will help Cafe SZ Point in finding promotional strategies for its sales performance.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorWahyuni, Eka DyarNIDN0001128406ekadyar.w@gmail.com
Thesis advisorWibowo, Nur CahyoNIDN0717037901nurcahyo.si@upnjatim.ac.id
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QA Mathematics > QA76.6 Computer Programming
Q Science > QA Mathematics > QA76.625 Internet Programming
T Technology > T Technology (General)
T Technology > T Technology (General) > T58.6-58.62 Management Information Systems
Divisions: Faculty of Computer Science > Departemen of Information Systems
Depositing User: Muhammad Faiz Harby
Date Deposited: 30 Jul 2024 06:22
Last Modified: 30 Jul 2024 06:22
URI: https://repository.upnjatim.ac.id/id/eprint/28008

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