Jurnal ULTIMA InfoSys
Vol 16 No 1 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi

Use of the K-Medoids Algorithm for Food Clustering Using Nutritional Value and Evaluation of the Elbow Method and the Davies Bouldin Index Method

Wildani Eko Nugroho (Unknown)
Dwi Kurniawan, Safar (Unknown)
Febrian Sabanise, Yerry (Unknown)
Prayoga, Prayoga (Unknown)



Article Info

Publish Date
30 Jun 2025

Abstract

The six categories of necessary nutrients water, minerals, vitamins, carbs, proteins, and fats must be present in the food that people eat on a daily basis. Humans require nutrition since it will enable them to do everyday duties and maintain their health. The pupose of this study is to classify foods with comparable nutritional values. Foods with high, medium, and low nutritional levels are grouped into three clusters. This study applies the K-Medoids algorithm optimization to the clustering approach. The study’s clustering results can be utilized to choose and consume foods that will meet nutritional needs and help delay the onset of food related disorders. For instance, if you wish to gain weight, you can choose foods in cluster 0. Cluster 2 foods can be picked if you wish to diet or lose weight, while Cluster 1 meals can serve as a benchmark if taken in excess, as this can lead to obesity.

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Journal Info

Abbrev

SI

Publisher

Subject

Computer Science & IT

Description

Jurnal ULTIMA InfoSys merupakan Jurnal Program Studi Sistem Informasi Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang Sistem Informasi, serta isu-isu teoritis dan praktis yang terkini, mencakup sistem basis data, sistem informasi manajemen, analisis ...