Implementasi Algoritma Hierarchical Clustering dan Non-Hierarchical Clustering untuk Pengelompokkan Pengguna Media Sosial

Alamtaha, Zulkifli; Djakaria, Ismail; Yahya, Nisky Imansyah

doi:10.20956/ejsa.vi.24830

Jurnal

Implementasi Algoritma Hierarchical Clustering dan Non-Hierarchical Clustering untuk Pengelompokkan Pengguna Media Sosial

ESTIMASI: Journal of Statistics and Its Application · Vol. 4 No. 1 (2023) · pp. 33–43

DOI: 10.20956/ejsa.vi.24830
ISSN: 2721-379X, 2721-3803
Published: 2023-02-14
Publisher: Hasanuddin University
Language: en

Abstract

Social media is a means to interact with other people through sentences, pictures and videos online. Excessive use of social media has a negative impact on mental health. The grouping process in this study was carried out to see the level of social media use in Bone Bolango Regency. Before grouping, data pre-processing is carried out and the optimal number of clusters is determined using the Silhoutte index. The optimal cluster results obtained are two clusters for all methods. After that, grouping is done using Hierarchical Clustering and Non-Hierarchical Clustering Algorithms. The Hierarchical Clustering algorithm consists of two methods, namely the single linkage method and the complete linkage method. The Non-Hierarchical Clustering Algorithm consists of two methods, namely the K-Means and K-Medoids methods. The next step is to determine the best method using the Davies-Bouldin Index (DBI). The smaller the DBI value, the better the method used. The smallest DBI value is obtained in the complete linkage method. The grouping results for cluster 1 consisted of 70 respondents and cluster 2 consisted of 80 respondents.

Keywords

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19 authors · 46 co-authorship links

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Co-author	Organisation	Joint articles
Mohamad Rivaldi Koni	Affiliation unknown	2
Muhammad Rezky Friesta Payu	Affiliation unknown	2
Nurwan Nurwan	Affiliation unknown	1
Salmun K. Nasib	Affiliation unknown	1
Ainun Fatmawati	Affiliation unknown	1
Sri Endang Saleh	Affiliation unknown	1
Debyyansa Pakaya	Affiliation unknown	1
Irsan K. Hasan	Affiliation unknown	1
Lailany Yahya	Affiliation unknown	1
La Ode Nashar	Affiliation unknown	1
Amanda Adityaningrum	Affiliation unknown	1
Sri Indriani Ladjali	Affiliation unknown	1
Herlina Jusuf	Affiliation unknown	1
Melisa Huntala	Affiliation unknown	1
Lisnawati R. Hunowu	Affiliation unknown	1
Armayani Arsal	Affiliation unknown	1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en">Implementasi Algoritma Hierarchical Clustering dan Non-Hierarchical Clustering untuk Pengelompokkan Pengguna Media Sosial</dc:title>
	<dc:creator xml:lang="en">Alamtaha, Zulkifli</dc:creator>
	<dc:creator xml:lang="en">Djakaria, Ismail</dc:creator>
	<dc:creator xml:lang="en">Yahya, Nisky Imansyah</dc:creator>
	<dc:subject xml:lang="en">Davies-Bouldin Index</dc:subject>
	<dc:subject xml:lang="en">Hierarchical Clustering</dc:subject>
	<dc:subject xml:lang="en">Non-Hierarchical Clustering</dc:subject>
	<dc:subject xml:lang="en">Silhoutte Index</dc:subject>
	<dc:subject xml:lang="en">Social Media</dc:subject>
	<dc:description xml:lang="en">Social media is a means to interact with other people through sentences, pictures and videos online. Excessive use of social media has a negative impact on mental health. The grouping process in this study was carried out to see the level of social media use in Bone Bolango Regency. Before grouping, data pre-processing is carried out and the optimal number of clusters is determined using the Silhoutte index. The optimal cluster results obtained are two clusters for all methods. After that, grouping is done using Hierarchical Clustering and Non-Hierarchical Clustering Algorithms. The Hierarchical Clustering algorithm consists of two methods, namely the single linkage method and the complete linkage method. The Non-Hierarchical Clustering Algorithm consists of two methods, namely the K-Means and K-Medoids methods. The next step is to determine the best method using the Davies-Bouldin Index (DBI). The smaller the DBI value, the better the method used. The smallest DBI value is obtained in the complete linkage method. The grouping results for cluster 1 consisted of 70 respondents and cluster 2 consisted of 80 respondents.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2023-02-14</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/24830</dc:identifier>
	<dc:identifier>10.20956/ejsa.vi.24830</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 4, No. 1, Januari, 2023 : Estimasi; 33-43</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/24830/9331</dc:relation>
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