Unveiling Culinary Patterns: Implementation Of K-Means Clustering Algorithm on Food Products in Cafes

Lasmi Lasmini Gumelar, Ruuhwan Ruuhwan, Missi Hikmatyar


Barcode Se'i and Coffee is one of the cafes on JL. Major Utarya, No. 48, Empangsari, District. Tawang, Tasikmalaya. Barcode Se'i and Coffee is quite famous because the concept of the place is nice, comfortable, and instagrammable. Not only that, but the Barcode café was also the first to create cow sei in Tasikmalaya. By analyzing the cafe menu groupings, information can be found regarding the level of menu sales. This type of analysis, capable of assessing sales levels, involves the use of data mining techniques such as clustering. Data mining is a data processing stage that aims to identify and extract patterns from a certain set of data. One of the methods included in data mining is the clustering technique. Reclassification techniques are used to group objects into several groups based on observed indicators, ensuring that all objects have a significant level of similarity compared to objects placed in different groups. With Rapidminer software and using the k-means algorithm with sales data for 11 months with the calculations carried out producing 5 clusters. Based on the comparison results of 3 K-Means algorithms with different K values, namely 3, 4, 5, the result from Davies Bouldin with a value close to 0 is a value with K 5, with the result from Davies Bouldin being - 0.912.

Full Text:

PDF (71-76)


J. Mikha Barus, M. Zunaidi, and F. Sonata, “Implementasi Data Mining Untuk Klasterisasi Penjualan Makanan Dan Minuman Menggunakan Metode K-Means,†Jurnal CyberTech, vol. 3, no. 6, pp. 1195–1207, 2020 [Online]. Available: https://ojs.trigunadharma.ac.id/

M. A. Jassim and S. N. Abdulwahid, “Data Mining preparation: Process, Techniques and Major Issues in Data Analysis,†IOP Conference Series: Materials Science and Engineering, vol. 1090, no. 1, p. 012053, Mar. 2021. DOI: 10.1088/1757-899X/1090/1/012053

T. Rak and R. Żyła, “Using Data Mining Techniques for Detecting Dependencies in the Outcoming Data of a Web-Based System,†Applied Sciences, vol. 12, no. 12, p. 6115, Jun. 2022. DOI: 10.3390/app12126115

F. Zuha and G. Achuthan, “Analysis of Data Mining Techniques and its Applications,†International Journal of Computer Applications, vol. 140, no. 3, pp. 6–14, Apr. 2016. DOI: 10.5120/ijca2016909249

T. Hidayat and B. E. Putro, “Analisis Karakteristik Konsumen Hotel ‘X’ dengan Menggunakan Metode K-Means Clustering,†Jurnal Media Teknik dan Sistem Industri, vol. 4, no. 2, p. 53, Sep. 2020. DOI: 10.35194/jmtsi.v4i2.995

N. Astuti, J. N. Utamajaya, and A. Pratama, “Penerapan Data Mining Pada Penjualan Produk Digital Konter Leppangeng Cell Menggunakan Metode K-Means Clustering,†JURIKOM (Jurnal Riset Komputer), vol. 9, no. 3, p. 754, Jun. 2022. DOI: 10.30865/jurikom.v9i3.4351

R. Askia Kurniawan, M. Siddik Hasibuan, R. Syahrul Ramadhan, I. Komputer, and U. Islam Negeri Sumatera Utara, “Application of the K-Means algorithm for clustering places to eat in Batubara,†COSIE (JOURNAL OF COMPUTER SCIENCE AND INFORMATICS ENGINEERING, vol. 01, no. 1, pp. 10–18, 2022.

D. Triyansyah and D. Fitrianah, “Analisis Data Mining Menggunakan Algoritma K-Means Clustering Untuk Menentukan Strategi Marketing,†Jurnal Telekomunikasi dan Komputer, vol. 8, no. 3, p. 163, Oct. 2018. DOI: 10.22441/incomtech.v8i3.4174

N. Normah, S. Nurajizah, and A. Salbinda, “Penerapan Data Mining Metode K-Means Clustering Untuk Analisa Penjualan Pada Toko Fashion Hijab Banten,†Jurnal Teknik Komputer, vol. 7, no. 2, pp. 158–163, Jul. 2021. DOI: 10.31294/jtk.v7i2.10553

K. Fatmawati and A. P. Windarto, “Data Mining: Penerapan Rapidminer Dengan K-Means Cluster Pada Daerah Terjangkit Demam Berdarah Dengue (DBD) Berdasarkan Provinsi,†Computer Engineering, Science and System Journal, vol. 3, no. 2, p. 173, Aug. 2018. DOI: 10.24114/cess.v3i2.9661

T. Amalina, D. Bima, A. Pramana, and B. N. Sari, “Metode K-Means Clustering Dalam Pengelompokan Penjualan Produk Frozen Food,†Jurnal Ilmiah Wahana Pendidikan, vol. 8, no. 15, pp. 574–583, 2022 [Online]. DOI: 10.5281/zenodo.7052276

W. Romadhona, “Implementasi Data Mining Pemilihan Pelanggan Potensial Menggunakan Algoritma K-Means,†KOMPUTEK, vol. 6, no. 2, p. 83, Oct. 2022. DOI: 10.24269/jkt.v6i2.1328


  • There are currently no refbacks.