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PENGELOMPOKAN BAHAN MAKANAN HEWANI BERDASARKAN VARIABEL KANDUNGAN GIZI MENGGUNAKAN K-MEANS CLUSTER

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Humans obtain nutrients from various sources, including animal meat and plants. Nutrients contained in animal meat include protein, fat, carbohydrates, calcium, sodium, and potassium. This study aims to group animal food ingredients based on nutritional content using the K-Means clustering method. This method was applied to group 65 unprocessed animal food ingredients based on nutritional content variables such as energy (calories), protein, fat, carbohydrates, calcium, sodium, and potassium. The results showed that the application of the K-Means clustering method resulted in grouping. In the two-cluster grouping, Group 1 consisted of 21 animal foods was characterized by relatively higher carbohydrate, calcium, and sodium content. Group 2, consisting of 44 animal foods, was predominantly characterized by higher energy, fat, and protein content, as well as higher potassium. Furthermore, in the three-cluster grouping, Group 1, consisting of 28 animal foods, is characterized by high protein and moderate potassium content. Group 2, consisting of 15 animal foods, is characterized by high carbohydrate, calcium, and sodium content. Group 3, consisting of 22 animal foods, is characterized by very high energy, fat, and potassium content. Each grouping result, whether 2 or 3 clusters, is successfully illustrated distinct nutritional patterns in animal food ingredients. However, further analysis indicated that the two-cluster grouping provided more appropriate representation and information.

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Detail Information

Series Title

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Call Number

T1842712025

Publisher

Indralaya : Prodi Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2025

Collation

viii, 45 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

519.07

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

-

Subject(s)

Matematika Terapan
Prodi Matematika

Specific Detail Info

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Statement of Responsibility

SEW

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