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Data Mining untuk Nasabah Bank Telemarketing Menggunakan kombinasi Algoritm Naïve Bayes Dan Algoritma Genetik

Main Authors: Aqham, Ahmad Ashifuddin, Hartomo, Kristoko Dwi
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Universitas Islam Sumatera Utara , 2019
Subjects:
telemarketing
naïve bayes
algoritma genetika
Online Access: https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/1574
https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/1574/pdf
ctrlnum --jurnal.uisu.ac.id-index.php-index-oai:article-1574
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Data Mining untuk Nasabah Bank Telemarketing Menggunakan kombinasi Algoritm Na&#xEF;ve Bayes Dan Algoritma Genetik</title><creator>Aqham, Ahmad Ashifuddin</creator><creator>Hartomo, Kristoko Dwi</creator><subject lang="en-US">telemarketing, na&#xEF;ve bayes, algoritma genetika</subject><description lang="en-US">The strategy used for telemarketing by conducting promotional media, this strategy is a marketing method used by banks, in offering products to customers, banks, one of the products that will be offered is time deposits, the bank has difficulty in knowing the obstacles experienced by customers in making a decision to make deposits against the bank, so that later it will have the effect of a financial crisis at the bank. Telemarketing banks must have targets for customers, where customers have the potential to join one of the bank's products, namely deposits by looking at existing customer data.With the existing problems will be overcome by the datamining technique that will be used for this research is the Na&#xEF;ve Bayes algorithm and genetic algorithm which aims to predict the Telemarketing customers' sources sourced from public UCI Repsitory data so that the bank offers a product to the customer right at the target. Na&#xEF;ve Bayes test with experimental results of 86.71% accuracy while cross validation testing using Genetic algorithm produces high accuracy 90.27%, Root proves the prediction of time series data Na&#xEF;ve Bayes method and Genetics produces an accuracy of 90.27%, so it can be concluded that using the Naive Bayes algorithm and Genetics can optimize in predicting Telemarketing client decisions right in the deposit offer.</description><publisher lang="en-US">Universitas Islam Sumatera Utara</publisher><contributor lang="en-US"/><date>2019-09-06</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/1574</identifier><identifier>10.30743/infotekjar.v4i1.1574</identifier><source lang="en-US">InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan; Vol 4, No 1 (2019): InfoTekJar September; 47-56</source><source>2540-7600</source><source>2540-7597</source><source>10.30743/infotekjar.v4i1</source><language>eng</language><relation>https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/1574/pdf</relation><rights lang="en-US">Copyright (c) 2019 Ahmad Ashifuddin Aqham, Kristoko Dwi Hartomo</rights><rights lang="en-US">https://creativecommons.org/licenses/by/4.0</rights><recordID>--jurnal.uisu.ac.id-index.php-index-oai:article-1574</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
File:application/pdf
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Journal:eJournal
author Aqham, Ahmad Ashifuddin
Hartomo, Kristoko Dwi
title Data Mining untuk Nasabah Bank Telemarketing Menggunakan kombinasi Algoritm Naïve Bayes Dan Algoritma Genetik
publisher Universitas Islam Sumatera Utara
publishDate 2019
topic telemarketing
naïve bayes
algoritma genetika
url https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/1574
https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/1574/pdf
contents The strategy used for telemarketing by conducting promotional media, this strategy is a marketing method used by banks, in offering products to customers, banks, one of the products that will be offered is time deposits, the bank has difficulty in knowing the obstacles experienced by customers in making a decision to make deposits against the bank, so that later it will have the effect of a financial crisis at the bank. Telemarketing banks must have targets for customers, where customers have the potential to join one of the bank's products, namely deposits by looking at existing customer data.With the existing problems will be overcome by the datamining technique that will be used for this research is the Naïve Bayes algorithm and genetic algorithm which aims to predict the Telemarketing customers' sources sourced from public UCI Repsitory data so that the bank offers a product to the customer right at the target. Naïve Bayes test with experimental results of 86.71% accuracy while cross validation testing using Genetic algorithm produces high accuracy 90.27%, Root proves the prediction of time series data Naïve Bayes method and Genetics produces an accuracy of 90.27%, so it can be concluded that using the Naive Bayes algorithm and Genetics can optimize in predicting Telemarketing client decisions right in the deposit offer.
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collection InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan)
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subject_area Computer Modeling and Simulation/Model dan Simulasi Komputer
Computer Communications Networks/Jaringan Komunikasi Komputer
Algorithms/Algoritma
Computer Security, Data Security/Keamanan Komputer, Keamanan Data
city KOTA MEDAN
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first_indexed 2019-09-23T21:31:47Z
last_indexed 2020-02-05T04:14:55Z
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