Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara

Authors

  • Stendy Budi Hartono Sakur Politeknik Negeri Nusa Utara
  • Miske Silangen Politeknik Negeri Nusa Utara
  • Desmin Tuwohingide Politeknik Negeri Nusa Utara

DOI:

https://doi.org/10.33020/saintekom.v14i1.528

Keywords:

k-means cluster, distance measure, aquaculture, julia programming language

Abstract

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.

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Published

31-03-2024

How to Cite

Sakur, Stendy Budi Hartono, Miske Silangen, and Desmin Tuwohingide. 2024. “Penerapan Algoritma K-Means Untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara”. Jurnal Saintekom : Sains, Teknologi, Komputer Dan Manajemen 14 (1):38-47. https://doi.org/10.33020/saintekom.v14i1.528.

Issue

Vol. 14 No. 1 (2024): March 2024

Section

Articles

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Copyright (c) 2024 Stendy Budi Hartono Sakur, Miske Silangen, Desmin Tuwohingide

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