CLUSTERING DATA BLOOD TRANSFUSION METHOD FUZZY C-MEANS

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Published: Oct 20, 2020
Keywords:
Clustering, Fuzzy K-Means, Silhouette, Blood Donation
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Nikolaus Rio Saputra

Abstract

This study uses the clustering method to describe the behavior of blood donors. The purpose of this clustering is to provide the ability to determine the segmentation of blood donors to improve the prediction accuracy of managers. We use the Fuzzy k-means algorithm for the number of clusters 2, 3, 4, and 5 then we use the silhouette method to determine the quality of a cluster. The silhouette results show that the optimal cluster is 3 which is confirmed through the testing phase. The results of blood donor clustering illustrate that men have a tendency to donate blood.

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Vol. 15 No. 2 (2020): Jurnal Komputer dan Informatika
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Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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References

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