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Penerapan Metode Median Clustering Untuk Clusterisasi Peternakan di Provinsi Maluku

ESTIMASI: Journal of Statistics and Its Application · Vol. 4 No. 1 (2023) · hlm. 1–9

DOI
10.20956/ejsa.vi.24452
ISSN
2721-379X, 2721-3803
Terbit
2023-02-14
Penerbit
Hasanuddin University
Bahasa
en

Abstrak

Livestock in Maluku Province is one of the sectors that is the main priority in the context of increasing people's welfare. The potential for livestock in Maluku Province is increasing every year. However, there needs to be integrated processing and identification of potential commodities in each region. One method that is a reliable statistical method is to use the median clustering method. Median clustering is a method of grouping based on the median value. The median clustering algorithm selects K cluster centers with the aim of minimizing the sum of the measurement distances between each point cluster and the closest cluster center. The data used in this study came from the Maluku Province Central Bureau of Statistics (BPS) in 2022. The results of this research were that there were 3 clusters formed in livestock clusterization in regencies and cities in Maluku Province. Clus ter 1 consists of Southwest Maluku Regency. Cluster 2 consists of the Regencies of Central Maluku, Buru and West Seram. Furthermore, Cluster 3 consists of the Tanimbar Islands, Southeast Maluku, Aru Islands, Eastern Seram, South Buru, Ambon and Tual City.

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  • Universitas Pattimura
  • Institut Teknologi Sepuluh Nopember
  • Bandung Institute of Technology
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Rekan penulisOrganisasiArtikel bersama
Lexy Janzen SinayUniversitas Pattimura1
Meilin Imelda TilukayUniversitas Pattimura1
Shelma Maharani PeluBandung Institute of Technology1
Santi Wulan PurnamiInstitut Teknologi Sepuluh Nopember1
Bambang Widjanarko OtokInstitut Teknologi Sepuluh Nopember1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, pertama di-harvest 2 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Penerapan Metode Median Clustering Untuk Clusterisasi Peternakan di Provinsi Maluku </dc:title>
	<dc:creator xml:lang="en">M. Y. Matdoan</dc:creator>
	<dc:creator xml:lang="en">A. M. Balami</dc:creator>
	<dc:creator xml:lang="en">F. Kondolembang</dc:creator>
	<dc:creator xml:lang="en">S. J. Latupeirissa</dc:creator>
	<dc:subject xml:lang="en">Animal Husbandr</dc:subject>
	<dc:subject xml:lang="en">Maluku</dc:subject>
	<dc:subject xml:lang="en">Median Clustering</dc:subject>
	<dc:description xml:lang="en">Livestock in Maluku Province is one of the sectors that is the main priority in the context of increasing people's welfare. The potential for livestock in Maluku Province is increasing every year. However, there needs to be integrated processing and identification of potential commodities in each region. One method that is a reliable statistical method is to use the median clustering method. Median clustering is a method of grouping based on the median value. The median clustering algorithm selects K cluster centers with the aim of minimizing the sum of the measurement distances between each point cluster and the closest cluster center. The data used in this study came from the Maluku Province Central Bureau of Statistics (BPS) in 2022. The results of this research were that there were 3 clusters formed in livestock clusterization in regencies and cities in Maluku Province. Clus ter 1 consists of Southwest Maluku Regency. Cluster 2 consists of the Regencies of Central Maluku, Buru and West Seram. Furthermore, Cluster 3 consists of the Tanimbar Islands, Southeast Maluku, Aru Islands, Eastern Seram, South Buru, Ambon and Tual City.</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/24452</dc:identifier>
	<dc:identifier>10.20956/ejsa.vi.24452</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 4, No. 1, Januari, 2023 : Estimasi; 1-9</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/24452/9328</dc:relation>
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