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dc.contributor.advisorNurdiati, Sri
dc.contributor.advisorKustiyo, Aziz
dc.contributor.authorVutaco, Radhen Inthan Leothriansari
dc.date.accessioned2014-04-24T01:12:21Z
dc.date.available2014-04-24T01:12:21Z
dc.date.issued2014
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/68631
dc.description.abstractFungi are one of the many cultivated crops by farmers in upland areas. Fungi are beings who are heterotrophic eukaryotes, which absorbs organic matter from the environment so that his life is parasitic and saprophyte. Diversity of these fungi cause difficulty to distinguish between one type and another. Before identifying fungi taxa Asterinaceae Australia, a grouping or clustering method is required to recognize the fungi by their characteristics. In grouping these fungi, characteristics possessed are first converted into binary form. K-Means clustering method is then utilized. There are three main stages for the clustering purpose, namely normalization, K-Means method, and Davies Bouldin Index calculation. The results show that the best clustering is obtained with 10 clusters.en
dc.language.isoid
dc.titleClustering Jamur Asterinaceae Menggunakan Metode K-Meansen
dc.subject.keywordK-Means.en
dc.subject.keywordfungi Asterinaceaeen
dc.subject.keywordDavies Bouldin Indexen


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