Skripsi

KLASIFIKASI KARAKTERISTIK CUSTOMER CHURN DI TELEKOMUNIKASI INDUSTRI UNTUK MENINGKATKAN RETENSI PELANGGAN MENGGUNAKAN ALGORITMA DECISION TREE ID3

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Penilaian

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Ignorance of telecommunications companies regarding the reasons and characteristics of customer churn causes telecommunications companies to suffer huge losses. This makes customer churn a big problem for telecommunications companies. This study uses data mining with classification techniques as a solution to analyze customer churn characteristics. This research will use Rapid Miner and the ID3 algorithm to carry out the data mining process. . The purpose of this research is to find out what are the characteristics of customer churn so that companies can make policies that can retain customers and increase customer retention. This research is based on CRISP-DM. Data taken from kaggle.com with 21 attributes and 7034 rows of data and data preparation will be carried out. From the research results it is known that there are 5 attributes that have a considerable influence on customer churn, namely contracts, InternetService, TotalChares, tenure, PaperlessBilling, MultipleLines, StreamingMovies. And from the results of this study has an accuracy rate of 79.53%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407000583	T138006	T1380062023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1380062023

Publisher

Inderalaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Sriwijaya., 2023

Collation

xiv, 30 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.507

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Informasi
Program Aplikasi dengan Kegunaan Khusus

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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