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All Journal BAKI (Berkala Akuntansi dan Keuangan Indonesia) Profita : Komunikasi Ilmiah dan Perpajakan Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum Jurnal Mantik Management Studies and Entrepreneurship Journal (MSEJ)
Cindy Cindy
Universitas Prima Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Jurnal Mantik

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Customer Churn’s Analysis In Telecomunications Company Using Fp-Growth Algorithm: Customer Churn’s Analysis In Telecomunications Company Using Fp-Growth Algorithm Kelvin Kelvin; Cindy Cindy; Charles Charles; Denny Peter Leonardo; Yennimar Yennimar
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.933.pp1285-1290

Abstract

Nowadays the competition between companies is increasing. Companies need to predict their customers to find out the level of customer loyalty. One way is to analyze customer data by doing Customer Churn Prediction. In this study the method used is the FP-Growth Algorithm. The FP-Growth algorithm is an algorithm that uses the association rules technique to determine the data that appears most frequently. The data used in this study are secondary data and have 7,403 data from customers. The data has 21 variables. By using a minimum support of 1.2% and confidence at 80%, the associative rules generated are 60. The variable of the type of internet the customer has is strong enough to predict churn. It can be seen that of the 60 associative rules, there are 36 associative rules that have this variable. Testing associative rules on test data yields an accuracy of 71%.
Co-Authors Angelie Aprilia Chandra Annisa Nauli Sinaga Antonius KAP Simbolon Charles Charles Chelsy Lorenza Christine Go Cynthia Cynthia Denny Peter Leonardo Erika Erika Karlina Chandra kelvin kelvin Merlinvia Rezcintami Mesrawati Mesrawati Nina Purnasari Nuraini Nuraini Ronald Hasudungan Rajagukguk Sherryn Sherryn Silvia Silvia Tasya Lonika Winda Winda Yennimar Yennimar Yosemarine Tiosandy