Jurnal Teknik Komputer
Vol 4, No 1 (2018): JURNAL TEKNIK KOMPUTER AMIK BSI

KLASIFIKASI PELANGGAN PRODUK INDIHOME MENGGUNAKAN NAIVE BAYES CLASSIFIER DENGAN SELEKSI FITUR ALGORITMA GENETIK

Sari, Indah Purnama (Unknown)



Article Info

Publish Date
12 Jan 2018

Abstract

Classification is a method of data mining used to organize data systematically or according to some rules or rules that have been established. PT. TELKOM as a state-owned company engaged in telecommunications and its development has a variety of telecommunications products that need to be marketed. Marketing strategies are intended to market the companys products for profit especially when it comes to offering new products. However, too many inappropriate offers to customers will only make marketing inefficient and effective. To simplify the marketing strategy of PT. TELKOM then made the classification of telephone subscribers and speedy that already exist in PT. TELKOM Jakarta which has the potential to become a new product customer of Indihome so that the marketing done by PT. TELKOM becomes more effective and efficient. This research uses data mining classification with Naive Bayes Classifier with genetic algorithm as feature selection . This is because Naive Bayes Classifier tends to perform well and can learn quickly in various classification problems, as evidenced by the results of classification accuracy in this study included in the category of good classification.  

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Journal Info

Abbrev

jtk

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknik Komputer merupakan jurnal ilmiah yang diterbitkan oleh LPPM Universitas Bina Sarana Informatika. Jurnal ini berisi tentang karya ilmiah hasil penelitian yang bertemakan: Networking, Embedded System, Aplikasi Sains, Animasi Interaktif, Pengolahan Citra, Sistem Pakar, Sistem ...