Sistem Aplikasi Untuk Menentukan Kelayakan Area Distribusi Majalah Dengan Metode Naive Bayes Classifier Pada PT. Media Komunitas Serpong

Authors

  • Nurfiqih Nurfiqih universitas Pamulang
  • Shandi Noris universitas Pamulang

Keywords:

Area Distribution, Data Mining, Application of Naive Bayes Classifier method

Abstract

Data mining is a very useful technology to help companies to find the most important information from their data warehouse, data mining forecast trends and traits business behavior is very useful to support critical decision making. Data mining can answer business questions that the traditional way takes a lot of time to answer. Naive Bayes classifier algorithm is one part of the data mining technique that uses a simple probabilistic-based prediction based on the Bayes rule, or statistical classification also can be used to predict the probability of membership of a class.

Determination of decisions made by PT. Media Komunitas Serpong in an effort to improve the new area necessary decisions that need to be filled, for the Naive Bayes classifier method is a more effective way is done to determine the feasibility of new areas quickly and accurately. 

Vol.3 No.1 : Kontribusi Matematika dalam Teknologi Informasi

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Published

2018-06-30

Issue

Vol. 3 No. 1 (2018): Vol.3 No.1 : Kontribusi Matematika dalam Teknologi Informasi

Section

Article

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