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CLUSTERING STATUS GIZI BALITA DI PUSKESMAS TALANG BULUH MENGGUNAKAN KOMBINASI METODE K-MEANS DAN HIERARCHICAL CLUSTERING

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Penilaian

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Malnutrition is one of the health problems that often afflicts toddlers in Indonesia, one of which is caused by the consumption of food given to toddlers. Therefore, it is necessary to strive for grouping the nutritional status of toddlers with the aim of getting the status of excessive, good, and bad nutrition by using a combination method of the K-means algorithm and Hierarchical Clustering. The K-means method has the ability to group large amounts of data in a fast time. However, the disadvantage is that it depends on the initial center of the cluster. Therefore, a hierarchical method was used to determine the initial center of the cluster. The results of the grouping are then evaluated using the Davies Bouldin Index (DBI) and the Silhouette Index (SI) so that after the test the results of the lowest DBI evaluation value are 0.622 with the K-Cluster value being in the 2nd K-Cluster and the highest SI at 0.906 with a K value. -The cluster is in the 2nd K-Cluster from K-Cluster 2 to 10 clustering.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207000047	T62051	T620512022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T620512022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xvii, 56 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.730 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Teknik Informatika
Struktur Data

Specific Detail Info

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Statement of Responsibility

SEPTA

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