relation: http://eprints.unpak.ac.id/8103/
title: Sistem Rekomendasi Menu Makanan dan Minuman dengan   Metode K- MEANS dan FP-GROWTH
creator: Yudiansyah, Yudiansyah
creator: Anggraeni, Irma
creator: Denih, Asep
subject: Ilmu Komputer
description: Sistem Rekomendasi Menu Makanan dan Minuman dengan   Metode K- MEANS dan FP-GROWTH pada Cafe Milarian  Asep Denih1)  , Irma Anggraeni 2)  , Yudiansyah3)  1,2,3 Program Studi Ilmu Komputer, Fakultas Matematika dan Ilmu Pengetahuan Alam,   Universitas Pakuan  1,2,3 Jl. Pakuan No.1, Ciheuleut, Bogor, 16143  Email: 1asep.denih@unpak.ac.id,   2  irma.anggraeni@unpak.ac.id,   3  yudiansyah04@gmail.com  Research aims to enhance operational efficiency and customer experience in a cafe   through the implementation of data mining-based technology. The two main methods used   in this study are K-Means Clustering and the FP-Growth Algorithm. K-Means is   employed to group customers based on their menu preferences and purchasing behavior,   while FP-Growth is used to analyze frequently occurring purchase patterns. The   implementation of K-Means enables the cafe to devise more targeted marketing   strategies, adjusting menus and promotions to meet customer needs. Additionally, FP�Growth aids in identifying relationships between frequently co-purchased menu items,   allowing the cafe to create more enticing bundled offers and boost cross-menu sales. The   implementation of this technology is expected to have a positive impact on customer   satisfaction, increase sales, and optimize inventory management in the cafe. By   combining these two methods, cafes can improve operational efficiency, provide a better   customer experience, and compete effectively in the increasingly competitive cafe   industry.  Keyword : Caffe Technology Efficiency, K-Means, FP-Growth, Product   Recommendation
date: 2024-01-28
type: Thesis
type: NonPeerReviewed
format: text
language: en
identifier: http://eprints.unpak.ac.id/8103/1/LAPORAN%20SIDANG%20SKRIPSI%20-%20065117089%20-%20Yudiansyah.pdf
format: text
language: en
identifier: http://eprints.unpak.ac.id/8103/2/HALAMAN%20PENGESAHAN%20%281%29.pdf
identifier:   Yudiansyah, Yudiansyah and Anggraeni, Irma and Denih, Asep  (2024) Sistem Rekomendasi Menu Makanan dan Minuman dengan Metode K- MEANS dan FP-GROWTH.  Skripsi thesis, Universitas Pakuan.