Analisi Status Pelanggan Menggunakan Metode Decision Tree Dengan Algoritma C45 Studi Kasus Pada PT.Wisanamitra Argakarya

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Akhmad Budi

Abstract

Along with the development of information technology related to business development that
provides a lot of choice of alternative solutions to the organization's use of information technology and
the company has become one of the main requirements as a means to increase the value added in the
business process. Use of Data Mining can be interpreted as a method of how to improve the quality of
business decisions based on data-related systems. Data Mining processes data into information, and then
they are processed more further into knowledge that will help the process of analysis of the company
effectively. This research used C4.5 algorithm to form a decision tree. The decision tree is a
classification and prediction methods. Decision tree method changes the very large fact into a decision
tree that represents the rules. The purpose of this research is analyzing the customers of PT. Wisanamitra
Argakarya.

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How to Cite
Budi, A. (2016). Analisi Status Pelanggan Menggunakan Metode Decision Tree Dengan Algoritma C45 Studi Kasus Pada PT.Wisanamitra Argakarya. Jurnal Informatika Dan Bisnis, 3(2), 1–10. Retrieved from https://jurnal.kwikkiangie.ac.id/index.php/JIB/article/view/124
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Author Biography

Akhmad Budi, Institut Bisnis dan Informatika Kwik Kian Gie

Program Studi Teknik Informatika

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