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Pengelompokan Kabupaten/Kota Berdasarkan Produksi Tanaman Pangan Sumatera Utara Tahun 2020 Menggunakan Pengelompokan Hirarki Aglomeratif

KUBIK: Jurnal Publikasi Ilmiah Matematika · Vol. 6 No. 2 (2022) · pp. 61–70

DOI
10.15575/kubik.v6i2.16157
ISSN
2686-0341, 2338-0896
Published
2022-04-25
Publisher
Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung
Language
ind

Abstract

Food plants are one of the basic needs of humans as a source of energy because they contain carbohydrates and proteins that are important for the human body. North Sumatra is one of the provinces in Indonesia, known for high potential in the agricultural sector, such as food crops. However, each district/city has a very diverse amount of food crop production in North Sumatra, so it is necessary to grouping in districts/cities based on the high and low of food crop production commodities in North Sumatra with the aim of assisting government in improving and optimizing government programs that engaged in agriculture. The grouping used agglomerative hierarchical cluster analysis methods, namely single linkage, average linkage, complete linkage, ward's, and centroid methods. Based on the highest cophenetic correlation value (close to 1), it was found that average linkage was the best cluster method. The results of this study that North Sumatra Province is divided into 4 clusters, consisting of regencies/cities, which can be seen from each food crop production in the very high category, the production of food crops in the high category, the production of food crops in the low category, and the production of food crops in the very low category.

Keywords

Collaboration network of the authors

11 authors · 17 co-authorship links

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Co-authorOrganisationJoint articles
Muhammad Bohari RahmanAffiliation unknown1
Listari ListariAffiliation unknown1
Munaffidzul IhsanAffiliation unknown1
Eky Roza ParadistiacAffiliation unknown1
Eli SurianiAffiliation unknown1
Gita Evi KusumandariAffiliation unknown1
Rahma Yuliati KashiAffiliation unknown1

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.uinsgd.ac.id/index.php/kubik/oai, first harvested 7 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="id-ID">Pengelompokan Kabupaten/Kota Berdasarkan Produksi Tanaman Pangan Sumatera Utara Tahun 2020 Menggunakan Pengelompokan Hirarki Aglomeratif</dc:title>
	<dc:creator>Riadhoh, Afdhah Nur</dc:creator>
	<dc:creator>Puspita, Galuh Eka</dc:creator>
	<dc:creator>Rafidah, Inas</dc:creator>
	<dc:creator>Widodo, Edy</dc:creator>
	<dc:subject xml:lang="id-ID">Agglomerative</dc:subject>
	<dc:subject xml:lang="id-ID">Cluster Analysis</dc:subject>
	<dc:subject xml:lang="id-ID">Food Crops</dc:subject>
	<dc:description xml:lang="id-ID">Food plants are one of the basic needs of humans as a source of energy because they contain carbohydrates and proteins that are important for the human body. North Sumatra is one of the provinces in Indonesia, known for high potential in the agricultural sector, such as food crops. However, each district/city has a very diverse amount of food crop production in North Sumatra, so it is necessary to grouping in districts/cities based on the high and low of food crop production commodities in North Sumatra  with the aim of assisting government in improving and optimizing government programs that engaged in agriculture. The grouping used agglomerative hierarchical cluster analysis methods, namely single linkage, average linkage, complete linkage, ward's, and centroid methods. Based on the highest cophenetic correlation value (close to 1), it was found that average linkage was the best cluster method. The results of this study that North Sumatra Province is divided into 4 clusters, consisting of regencies/cities, which can be seen from each food crop production in the very high category, the production of food crops in the high category, the production of food crops in the low category, and the production of food crops in the very low category.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung</dc:publisher>
	<dc:date>2022-04-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
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	<dc:identifier>https://journal.uinsgd.ac.id/index.php/kubik/article/view/16157</dc:identifier>
	<dc:identifier>10.15575/kubik.v6i2.16157</dc:identifier>
	<dc:source xml:lang="en-US">KUBIK: Jurnal Publikasi Ilmiah Matematika; Vol. 6 No. 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika; 61-70</dc:source>
	<dc:source xml:lang="id-ID">KUBIK; Vol 6 No 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika; 61-70</dc:source>
	<dc:source>2686-0341</dc:source>
	<dc:source>2338-0896</dc:source>
	<dc:source>10.15575/kubik.v6i2</dc:source>
	<dc:language>ind</dc:language>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/kubik/article/view/16157/7058</dc:relation>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/kubik/article/view/16157/13021</dc:relation>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/kubik/article/view/16157/13022</dc:relation>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/kubik/article/view/16157/13023</dc:relation>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/kubik/article/view/16157/13025</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Afdhah Nur Riadhoh, Galuh Eka Puspita, Inas Rafidah, Edy Widodo</dc:rights>
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