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

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...

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Bibliographic Details
Main Authors: Stendy Budi Hartono Sakur, Miske Silangen, Desmin Tuwohingide
Format: Article
Language:Indonesian
Published: STMIK Palangkaraya 2024-03-01
Series:Jurnal Saintekom
Subjects:
k-means cluster
distance measure
aquaculture
julia programming language
Online Access:https://ojs.stmikplk.ac.id/index.php/saintekom/article/view/528
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