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

ANISA, IDAH NUR and Maiyanti, Sri Indra and Irmeilyana, Irmeilyana (2025) PENGELOMPOKAN BAHAN MAKANAN HEWANI BERDASARKAN VARIABEL KANDUNGAN GIZI MENGGUNAKAN K-MEANS CLUSTER. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_44201_08011382126116_cover.JPG] Image
RAMA_44201_08011382126116_cover.JPG - Cover Image
Available under License Creative Commons Public Domain Dedication.

Download (939kB)
[thumbnail of RAMA_44201_08011382126116.pdf] Text
RAMA_44201_08011382126116.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (994kB) | Request a copy
[thumbnail of RAMA_44201_08011382126116_TURNITIN.pdf] Text
RAMA_44201_08011382126116_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (5MB) | Request a copy
[thumbnail of RAMA_44201_08011382126116_0004077205_0017057403_01_front_ref.pdf] Text
RAMA_44201_08011382126116_0004077205_0017057403_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (550kB)
[thumbnail of RAMA_44201_08011382126116_0004077205_0017057403_02.pdf] Text
RAMA_44201_08011382126116_0004077205_0017057403_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (288kB) | Request a copy
[thumbnail of RAMA_44201_08011382126116_0004077205_0017057403_03.pdf] Text
RAMA_44201_08011382126116_0004077205_0017057403_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (204kB) | Request a copy
[thumbnail of RAMA_44201_08011382126116_0004077205_0017057403_04.pdf] Text
RAMA_44201_08011382126116_0004077205_0017057403_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (503kB) | Request a copy
[thumbnail of RAMA_44201_08011382126116_0004077205_0017057403_05.pdf] Text
RAMA_44201_08011382126116_0004077205_0017057403_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (171kB) | Request a copy
[thumbnail of RAMA_44201_08011382126116_0004077205_0017057403_06_ref.pdf] Text
RAMA_44201_08011382126116_0004077205_0017057403_06_ref.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (193kB) | Request a copy
[thumbnail of RAMA_44201_08011382126116_0004077205_0017057403_07_lamp.pdf] Text
RAMA_44201_08011382126116_0004077205_0017057403_07_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (817kB) | Request a copy

Abstract

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.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: K-Means cluster, kandungan gizi, kelompok bahan makanan hewani
Subjects: Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions: 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User: Idah Nur Anisa
Date Deposited: 19 Sep 2025 08:36
Last Modified: 19 Sep 2025 08:36
URI: http://repository.unsri.ac.id/id/eprint/184271

Actions (login required)

View Item View Item