Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19
Covid-19 outbreak that scours the world nowadays is affecting all sectors, including food security. Therefore it needs to restructuring the food security policies to ensure that every people obtains adequate and nutritious food. However, the society in each province have different conditions. Thus t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Indonesian |
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Universitas Yudharta Pasuruan
2021-03-01
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| Series: | Teknologi Pangan: Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian |
| Subjects: | |
| Online Access: | https://jurnal.yudharta.ac.id/v2/index.php/Teknologi-Pangan/article/view/2179 |
| _version_ | 1818597800191983616 |
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| author | Audi Ramadhan Kinanti Prawita M. Andik Izzudin Gitta Amandha |
| author_facet | Audi Ramadhan Kinanti Prawita M. Andik Izzudin Gitta Amandha |
| author_sort | Audi Ramadhan |
| collection | DOAJ |
| description | Covid-19 outbreak that scours the world nowadays is affecting all sectors, including food security. Therefore it needs to restructuring the food security policies to ensure that every people obtains adequate and nutritious food. However, the society in each province have different conditions. Thus the clusterization of food security level per province is indispensable to support strategic and policy decision in order to face the Covid-19 pandemic. This research aimed to clustering food security level of each province in Indonesia. Furthernore, this research also compare several clustering methods. The clustering method that used as a comparison in this study is K-means, DBSCAN, Louvain and Self organizing maps methods. Method with the highest silhouette coefficient value in this research will represent the results of food security clustering. The resul of the research show that K-means achieve highest silhouette coefficient value (0.568). Therefore the clusterization result of K-means chosen to represent the level of food security in this research. Further, it followed by self organizing maps with silhouette coefficient 0.559, louvain 0.312 and DBSCAN 0.15. The clusterization result show there are 7 provinces with high food security index, 24 provinces with medium food security index and 3 provinces with low food security index. This research also propose policies strategy and recommendation related to regional food security condition in order to face the Covid-19 pandemic. This research is expected to be a consideration of Indonesian government in making policies on national food security. |
| first_indexed | 2024-12-16T11:53:33Z |
| format | Article |
| id | doaj.art-02b3a3d881ff4e0fb29fa548efc77ce0 |
| institution | Directory Open Access Journal |
| issn | 2087-9679 2597-436X |
| language | Indonesian |
| last_indexed | 2024-12-16T11:53:33Z |
| publishDate | 2021-03-01 |
| publisher | Universitas Yudharta Pasuruan |
| record_format | Article |
| series | Teknologi Pangan: Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian |
| spelling | doaj.art-02b3a3d881ff4e0fb29fa548efc77ce02022-12-21T22:32:37ZindUniversitas Yudharta PasuruanTeknologi Pangan: Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian2087-96792597-436X2021-03-0112111012210.35891/tp.v12i1.21792179Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19Audi Ramadhan0Kinanti Prawita1M. Andik Izzudin2Gitta Amandha3UIN Sunan Ampel SurabayaProgram Studi Sistem Informasi, Univeristas Islam Negeri Sunan Ampel SurabayaProgram Studi Sistem Informasi, Univeristas Islam Negeri Sunan Ampel SurabayaProgram Studi Agroteknologi, Universitas Bangka BelitungCovid-19 outbreak that scours the world nowadays is affecting all sectors, including food security. Therefore it needs to restructuring the food security policies to ensure that every people obtains adequate and nutritious food. However, the society in each province have different conditions. Thus the clusterization of food security level per province is indispensable to support strategic and policy decision in order to face the Covid-19 pandemic. This research aimed to clustering food security level of each province in Indonesia. Furthernore, this research also compare several clustering methods. The clustering method that used as a comparison in this study is K-means, DBSCAN, Louvain and Self organizing maps methods. Method with the highest silhouette coefficient value in this research will represent the results of food security clustering. The resul of the research show that K-means achieve highest silhouette coefficient value (0.568). Therefore the clusterization result of K-means chosen to represent the level of food security in this research. Further, it followed by self organizing maps with silhouette coefficient 0.559, louvain 0.312 and DBSCAN 0.15. The clusterization result show there are 7 provinces with high food security index, 24 provinces with medium food security index and 3 provinces with low food security index. This research also propose policies strategy and recommendation related to regional food security condition in order to face the Covid-19 pandemic. This research is expected to be a consideration of Indonesian government in making policies on national food security.https://jurnal.yudharta.ac.id/v2/index.php/Teknologi-Pangan/article/view/2179food securitymachine learningcovid-19clustering method |
| spellingShingle | Audi Ramadhan Kinanti Prawita M. Andik Izzudin Gitta Amandha Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19 Teknologi Pangan: Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian food security machine learning covid-19 clustering method |
| title | Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19 |
| title_full | Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19 |
| title_fullStr | Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19 |
| title_full_unstemmed | Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19 |
| title_short | Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19 |
| title_sort | analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid 19 |
| topic | food security machine learning covid-19 clustering method |
| url | https://jurnal.yudharta.ac.id/v2/index.php/Teknologi-Pangan/article/view/2179 |
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