Analisis Segmentasi dengan Metode K-Means Cluster  

Oleh:

Triyanti, Vivi

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI - atma jaya
Dalam koleksi: Metris: Jurnal Mesin, Elektro, Industri dan Sains vol. 2 no. 2 (Jun. 2001), page 39-46.
Topik: cluster; Tabulasi Silang; Thrustone Case V; Segmentasi; K-Means Cluster
Fulltext: MM42.2 2(2) 0601 39-46.pdf (154.23KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: MM42.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The problem of cluster- based or market segmentation consist of determining segment by partitioning buyers according to their similarities across several selected (behavioral, psychographic, or socio-demographic) segmentation criteria. The number of segments (cluster), their size, and description are not known before completing the analysis. The method we used in this paper are K-means Cluster Method to identify the members of segment, Thrustone Case V Method to identify preferences structures of each segment, and Crosstab Method to identify characteristics of each segment. Also, we use some other methods to complete the analysis.

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