Data Mining Application for the Spread of Endemic Butterfly Cenderawasih Bay using the K-Means Clustering Algorithm

نویسندگان

چکیده

The superfamily Papilionoidea day butterfly, which is endemic to the Cenderawasih Bay islands (Numfor, Supiori, Biak and Yapen), consists of 6 family species: Papilionidae, Hesperiidae, Pieridae, Riodinidae, Lycaenidae Nymphalidae families. This study aims analyze grouping butterflies Cendrawasih based on wings colours in 4 Clusters, namely Numfor, Yapen Islands, by applying function K-Means Clustering algorithm data mining method. selection was carried out 7 times with conclusion that Numfor had 13 types Endemic Butterfly species, Papuan Species, Supiori 9 11 Species. analysis results were then retested an application built using Waterfall system development method PHP MySQL programming languages. In addition for butterflies, created produces a butterfly distribution map displays information family.

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ژورنال

عنوان ژورنال: International journal of online and biomedical engineering

سال: 2023

ISSN: ['2626-8493']

DOI: https://doi.org/10.3991/ijoe.v19i09.40907