| dc.contributor |
Fakultas Matematika dan Ilmu Pengetahuan Alam |
|
| dc.creator |
Salsabila, Salsabila |
|
| dc.creator |
Kudus, Abdul |
|
| dc.date |
2020-08-25 |
|
| dc.date.accessioned |
2021-03-15T03:45:35Z |
|
| dc.date.available |
2021-03-15T03:45:35Z |
|
| dc.identifier |
http://karyailmiah.unisba.ac.id/index.php/statistika/article/view/23342 |
|
| dc.identifier |
10.29313/.v6i2.23342 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/28875 |
|
| dc.description |
Abstract. The discrete time logistic model is an alternative solution to the survival analysis which assumes proportionality all the time for each covariate. Therefore, this model can be used for various conditions where the time dependent variables and time independent variables. Discrete time logistic model has easy to analyse because it uses logistic regression analysis with converting survival data from person oriented to person period. Parameters in the discrete time logistic model are estimated using the maximum likelihood method through the Fisher Scoring iteration. The application of the discrete time logistic model to the history data of telecommunications customers of Telco Companies with events where the customer is a churn or not. From this research, it can be concluded that the substantive covariates that influence the occurrence of churn are for demographic information is partners, for customer account information is contracts every one year, contracts every two years, paperless billing, payment methods by post and e-check and the services provided to customers is multiplelines, online security, online backup, device protection and tech support.Keywords: Discrete Time Logistic, Logistic Regression, Fisher Scoring, Survival, ChurnAbstrak. Model discrete time logistic merupakan alternatif penyelesaian dari analisis survival yang mengasumsikan bahwa kovariat prediktor yang digunakannya proporsional secara konstan dari waktu ke waktu. Oleh karena itu, model ini dapat digunakan untuk kondisi dimana kovariat prediktor yang digunakannya terdiri dari time dependent variable mapun time independent variable. Pemodelan discrete time logistic memiliki kemudahan dalam proses pengolahan datanya karena menggunakan analisis regresi logistik dengan mengperluas data survival tiap individu menjadi data person period. Parameter parameter dalam model discrete time logistic diestimasi menggunakan metode kemungkinan maksimum melalui iterasi Fisher Scoring. Penerapan model discrete time logistic dilakukan pada data riwayat pelanggan telekomunikasi Perusahaan Telco dengan event dimana pelanggan mengalami kejadian churn atau tidak. Dari penelitian ini, dapat diketahui bahwa kovariat substantif yang memengaruhi terjadinya kejadian churn adalah untuk informasi demografi yaitu status perkawinan, untuk informasi akun pelanggan berupa kontrak setiap tahun sekali, kontrak setiap dua tahun sekali, paperless billing, metode pembayaran melalui pos dan e-check dan untuk layanan yang diberikan pada pelanggan terdiri dari multiplelines, online security, device protection dan tech support.Kata Kunci: Discrete Time Logistic, Regresi Logistik, Fisher Scoring, Survival, Churn. |
|
| dc.language |
id |
|
| dc.publisher |
Universitas islam Bandung |
|
| dc.rights |
Copyright (c) 2020 Prosiding Statistika |
|
| dc.source |
Prosiding Statistika; Vol 6, No 2, Prosiding Statistika (Agustus, 2020); 156-166 |
|
| dc.source |
Prosiding Statistika; Vol 6, No 2, Prosiding Statistika (Agustus, 2020); 156-166 |
|
| dc.source |
2460-6456 |
|
| dc.source |
10.29313/.v6i2 |
|
| dc.subject |
Statistika |
|
| dc.subject |
Discrete Time Logistic, Logistic Regression, Fisher Scoring, Survival, Churn |
|
| dc.title |
Penerapan Model Discrete Time Logistic pada Kasus Pelanggan Telekomunikasi |
|
| dc.type |
info:eu-repo/semantics/article |
|
| dc.type |
info:eu-repo/semantics/publishedVersion |
|
| dc.type |
Peer-reviewed Article |
|
| dc.type |
kuantitatif |
|