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Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering

Agriculture is one of the main pillars of economic growth in Indonesia. Failure in this sector can result in faltering economic stability of the country. Thus, to minimize these failures, mapping of areas with particular commodity potential is needed. One of the main factors affecting the growth of...

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Main Authors: Ahdika, Atina, Mujiati Dwi Kartikasari,, Sekti Kartika Dini,, Ramadhani, Intan
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/18073/1/24.pdf
http://journalarticle.ukm.my/18073/
https://www.ukm.my/jsm/malay_journals/jilid50bil9_2021/KandunganJilid50Bil9_2021.html
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spelling my-ukm.journal.180732022-02-18T00:59:39Z http://journalarticle.ukm.my/18073/ Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering Ahdika, Atina Mujiati Dwi Kartikasari, Sekti Kartika Dini, Ramadhani, Intan Agriculture is one of the main pillars of economic growth in Indonesia. Failure in this sector can result in faltering economic stability of the country. Thus, to minimize these failures, mapping of areas with particular commodity potential is needed. One of the main factors affecting the growth of crops is rainfall. Therefore, this paper aims to model the potential distribution of commodity growth based on rainfall precipitation using dynamic copula. The modeling results are then used as a basis for grouping the potential of food crop commodities in Indonesia. The determination of the group was carried out using the k-means clustering method. We expect that the result of the modeling can provide an overview for farmers or the government to make policies related to the optimization of Indonesia’s agricultural sector. This result will enable the government to offer facilities that can minimize agricultural losses, such as superior seeds that are resistant to weather changes and the provision of training for enhancing farming skills. In addition, it is also suggested to diversify farm areas to reduce the failures due to dependence on a single agricultural product. Penerbit Universiti Kebangsaan Malaysia 2021-09 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18073/1/24.pdf Ahdika, Atina and Mujiati Dwi Kartikasari, and Sekti Kartika Dini, and Ramadhani, Intan (2021) Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering. Sains Malaysiana, 50 (9). pp. 2791-2817. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid50bil9_2021/KandunganJilid50Bil9_2021.html
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Agriculture is one of the main pillars of economic growth in Indonesia. Failure in this sector can result in faltering economic stability of the country. Thus, to minimize these failures, mapping of areas with particular commodity potential is needed. One of the main factors affecting the growth of crops is rainfall. Therefore, this paper aims to model the potential distribution of commodity growth based on rainfall precipitation using dynamic copula. The modeling results are then used as a basis for grouping the potential of food crop commodities in Indonesia. The determination of the group was carried out using the k-means clustering method. We expect that the result of the modeling can provide an overview for farmers or the government to make policies related to the optimization of Indonesia’s agricultural sector. This result will enable the government to offer facilities that can minimize agricultural losses, such as superior seeds that are resistant to weather changes and the provision of training for enhancing farming skills. In addition, it is also suggested to diversify farm areas to reduce the failures due to dependence on a single agricultural product.
format Article
author Ahdika, Atina
Mujiati Dwi Kartikasari,
Sekti Kartika Dini,
Ramadhani, Intan
spellingShingle Ahdika, Atina
Mujiati Dwi Kartikasari,
Sekti Kartika Dini,
Ramadhani, Intan
Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering
author_facet Ahdika, Atina
Mujiati Dwi Kartikasari,
Sekti Kartika Dini,
Ramadhani, Intan
author_sort Ahdika, Atina
title Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering
title_short Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering
title_full Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering
title_fullStr Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering
title_full_unstemmed Diversification of agricultural areas in Indonesia using dynamic copula modeling and K-means clustering
title_sort diversification of agricultural areas in indonesia using dynamic copula modeling and k-means clustering
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/18073/1/24.pdf
http://journalarticle.ukm.my/18073/
https://www.ukm.my/jsm/malay_journals/jilid50bil9_2021/KandunganJilid50Bil9_2021.html
_version_ 1725973507129475072
score 13.211869

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