Penentuan Menu Potensial Menggunakan Algoritma K-Means Pada Titiksetara Coffee Bekasi

Penulis

  • Mohammad Alviansyah Jurnal
  • Prima Dina Atika Universitas Bhayangkara Jakarta Raya

DOI:

https://doi.org/10.58776/jriti.v2i2.161

Kata Kunci:

data mining, k-means clustering, menu potensial, RapidMiner

Abstrak

This study aims to identify potential customers and help local coffee entrepreneurs compete by offering products that customers desire, as well as address challenges in determining high‑potential menu items using the K‑Means algorithm. The data consist of TitikSetara Coffee’s revenue records from October 2023 through January 2024. RapidMiner software was used to perform clustering via the K‑Means algorithm. The sales data were grouped into three clusters: Cluster 0 for high‑potential menu items, Cluster 1 for medium‑potential menu items, and Cluster 2 for low‑potential menu items. Out of the 26 records analyzed, Cluster 0 contains 4 menu items, Cluster 1 contains 14 menu items, and Cluster 2 contains 8 menu items, with a Davies–Bouldin Index of 0.374. The identified high‑potential menu items can serve as a reference for TitikSetara Coffee, and it is expected that these recommendations will be well‑targeted.

Referensi

N. P. E. Marliana, Ernawati and J. Santoso, "Analisa penentuan jumlah cluster terbaik pada metode k-means clustering," 2015.

H. Syahputra, L. Mayola and D. Guswandi , "Clustering tingkat penjualan menu (food and beverage)menggunakan algoritma k-means," Jurnal KomtekInfo, vol. 9, no. 1, pp. 29-33, 2022.

N. Ye, Data mining theories, algorithms and examples, Boca Raton: CRC Press, 2013.

W. S. Aziz and D. D. Atmajaya, "Pengelompokkan minat baca mahasiswa menggunakan metode k-means," ILKOM Jurnal Ilmiah, vol. 8, no. 2, 2016.

S. Retno, "Peningkatan akurasi algoritma k-means dengan clustering purity sebagai titik pusat cluster awal (centroid)," Universitas Sumatera Utara, 8 Juli 2019.

D. A. Rahmayanti, R. Juita and C. D. Suhendra, "Penerapan metode k-means untuk clustering data anak berdasarkan kepemilikan akta kelahiran dan KIA," Informatics Journal, vol. 7, no. 3, pp. 210-219, 2022.

Trianasari, Buku ajar : manajemen makanan dan minuman, Jakarta: CV. PLC, 2021.

A. P. Riani, A. Voutama and T. Ridwan, "Penerapan k-means clustering dalam pengelompokan hasil belajar peserta didik dengan metode elbow," Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD, vol. 6, no. 1, pp. 164-172, 2023.

Unduhan

Diterbitkan

28-02-2025

Cara Mengutip

Alviansyah, M., & Atika, P. D. (2025). Penentuan Menu Potensial Menggunakan Algoritma K-Means Pada Titiksetara Coffee Bekasi. Jurnal Riset Informatika Dan Teknologi Informasi, 2(2), 187–194. https://doi.org/10.58776/jriti.v2i2.161

Terbitan

Vol 2 No 2 (2025): Desember 2024 - Maret 2025

Bagian

Volume 2 Nomor 2, Desember 2024 - Maret 2025

Lisensi

Hak Cipta (c) 2025 Mohammad Alviansyah, Prima Dina Atika

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Artikel ini berlisensiCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.