Index Kepuasan Pelanggan Informa dengan Menggunakan Algoritma C.45
DOI:
https://doi.org/10.30865/jurikom.v8i6.3686Keywords:
Customers, Information, Data Mining, C.45 Algorithm, SatisfactionAbstract
The company's success in marketing its products is largely determined by the accuracy of the strategy used. In determining a marketing strategy, marketers need to examine every characteristic of consumer behavior that is implemented into their hopes and desires. By knowing the basic reasons why consumers make purchases, it can be seen the right strategy to be used, in other words, the marketing party must actualize every consumer expectation into a satisfaction for the services provided. This study uses 6 (six) criteria and 21 (twenty one) sub-criteria with details as follows: Staff, Product, Store Convenience, Security, Delivery and Installation. The purpose of this research is to evaluate the management in improving research. The research stages refer to Knowladge Discovery Data, namely Data, Data Selection, Data Transformation, Data mining Model, Interpretation. Accuracy results obtained are 84.16% with the following details. Prediction Results Satisfied and turns out to be True Satisfied with 80 Data, Prediction Results Satisfied and turns out to be True Very Satisfied with 15 Data, Prediction Results Satisfied and turns out to be True Sufficiently Satisfied with 0 Data, The Prediction Result is Very Satisfied and turns out to be True Satisfied with 0 Data, Prediction Result is Very Satisfied and turns out to be True Very Satisfied with 0 Data, Prediction Result is Very Satisfied and turns out to be True Quite Satisfied with 0 Data.
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