Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara
Capture fisheries production is decreasing due to natural resources or weather conditions, so other resources are needed to support fisheries production. One alternative is to increase the production of aquaculture commodities through seawater, freshwater, or brackish water cultivation. Various pote...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Indonesian |
| Published: |
STMIK Palangkaraya
2024-03-01
|
| Series: | Jurnal Saintekom |
| Subjects: | |
| Online Access: | https://ojs.stmikplk.ac.id/index.php/saintekom/article/view/528 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850199994940784640 |
|---|---|
| author | Stendy Budi Hartono Sakur Miske Silangen Desmin Tuwohingide |
| author_facet | Stendy Budi Hartono Sakur Miske Silangen Desmin Tuwohingide |
| author_sort | Stendy Budi Hartono Sakur |
| collection | DOAJ |
| description | Capture fisheries production is decreasing due to natural resources or weather conditions, so other resources are needed to support fisheries production. One alternative is to increase the production of aquaculture commodities through seawater, freshwater, or brackish water cultivation. Various potentials for developing aquaculture have been developed in various regions, including the North Sulawesi region. Grouping aquaculture commodity production according to container type is very important to maintain and increase aquaculture production. This research aims to cluster aquaculture production in the North Sulawesi area using the K-Means method using Euclidean, Manhattan, and Minkowsky distances. The results of the research obtained three clusters, namely the first cluster, the region with the highest production of pond container types, namely the Sitaro Islands, and for second cluster consisting of 13 regions that have variations in production ranging from low to high for the types of floating net containers and ponds, while third cluster is the region Bitung with moderate production for pond types. It is hoped that this research can help related agencies to create policies to increase the production potential of aquaculture. |
| format | Article |
| id | doaj-art-a0bde701bead4597a18c79fd2014b6b7 |
| institution | OA Journals |
| issn | 2088-1770 2503-3247 |
| language | Indonesian |
| publishDate | 2024-03-01 |
| publisher | STMIK Palangkaraya |
| record_format | Article |
| series | Jurnal Saintekom |
| spelling | doaj-art-a0bde701bead4597a18c79fd2014b6b72025-08-20T02:12:29ZindSTMIK PalangkarayaJurnal Saintekom2088-17702503-32472024-03-01141384710.33020/saintekom.v14i1.528474Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi UtaraStendy Budi Hartono Sakur0Miske Silangen1Desmin Tuwohingide2Politeknik Negeri Nusa UtaraPoliteknik Negeri Nusa UtaraPoliteknik Negeri Nusa UtaraCapture fisheries production is decreasing due to natural resources or weather conditions, so other resources are needed to support fisheries production. One alternative is to increase the production of aquaculture commodities through seawater, freshwater, or brackish water cultivation. Various potentials for developing aquaculture have been developed in various regions, including the North Sulawesi region. Grouping aquaculture commodity production according to container type is very important to maintain and increase aquaculture production. This research aims to cluster aquaculture production in the North Sulawesi area using the K-Means method using Euclidean, Manhattan, and Minkowsky distances. The results of the research obtained three clusters, namely the first cluster, the region with the highest production of pond container types, namely the Sitaro Islands, and for second cluster consisting of 13 regions that have variations in production ranging from low to high for the types of floating net containers and ponds, while third cluster is the region Bitung with moderate production for pond types. It is hoped that this research can help related agencies to create policies to increase the production potential of aquaculture.https://ojs.stmikplk.ac.id/index.php/saintekom/article/view/528k-means clusterdistance measureaquaculturejulia programming language |
| spellingShingle | Stendy Budi Hartono Sakur Miske Silangen Desmin Tuwohingide Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara Jurnal Saintekom k-means cluster distance measure aquaculture julia programming language |
| title | Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara |
| title_full | Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara |
| title_fullStr | Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara |
| title_full_unstemmed | Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara |
| title_short | Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara |
| title_sort | penerapan algoritma k means untuk klasterisasi produksi budidaya perikanan provinsi sulawesi utara |
| topic | k-means cluster distance measure aquaculture julia programming language |
| url | https://ojs.stmikplk.ac.id/index.php/saintekom/article/view/528 |
| work_keys_str_mv | AT stendybudihartonosakur penerapanalgoritmakmeansuntukklasterisasiproduksibudidayaperikananprovinsisulawesiutara AT miskesilangen penerapanalgoritmakmeansuntukklasterisasiproduksibudidayaperikananprovinsisulawesiutara AT desmintuwohingide penerapanalgoritmakmeansuntukklasterisasiproduksibudidayaperikananprovinsisulawesiutara |