Complex Data Analysis For Products Bundling

Peneliti

Apriani Puti Purfini, S.Kom.,M.T.

Deskripsi/Abstrak

This research is meant to analyze product bundling involving complex data composed of consumer reviews and selling transaction numerical data. One of the Association rule implementations is by-product bundling analysis. Textual data extraction used sentiment analysis. Bundling analysis involving the corresponding complex data used Association Rule and K-Means Clustering method for data sorting used to form transaction data as input to the Association Rules. Result from this research the products to be bundled are products that have qualified characteristics taking into account buyer reference and sales data. It is expected that the proposed method to find the bundle of products can increase the potential of sales.