Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method

The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile (demography) and historical payment consisting of 2...

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Main Authors: Vitri Aprilla Handayani*, Widya Reza, Andini Setyo Anggraeni, Garry Rusmadi
Format: Article
Language:English
Published: Program Studi Keuangan dan Perbankan, Fakultas Ekonomi dan Bisnis, Universitas Komputer Indonesia 2022-12-01
Series:Jurnal Ilmu Keuangan dan Perbankan
Online Access:https://ojs.unikom.ac.id/index.php/jika/article/view/7194
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author Vitri Aprilla Handayani*
Widya Reza
Andini Setyo Anggraeni
Garry Rusmadi
author_facet Vitri Aprilla Handayani*
Widya Reza
Andini Setyo Anggraeni
Garry Rusmadi
author_sort Vitri Aprilla Handayani*
collection DOAJ
description The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile (demography) and historical payment consisting of 25 observed variables. The Cox regression model used in this study is a proportional hazard Cox regression model. Based on the description of the data, it shows that there is a risk of defaulting debtors who have been past due compared to never past due. Cox proportional hazard regression model with the semiparametric method can be used to identify factors that affect debtor resilience. Of the 25 variables observed, there is one variable, namely the X16 (Age) variable which does not significantly affect the debtor's endurance. Keywords: Debtor Resistance; Historical Payment; Semiparametric; Cox Regression; Proportional Hazard   Penelitian ini bertujuan untuk mengetahui faktor yang berpengaruh terhadap daya tahan debitur kredit mobil di suatu wilayah. Metode penelitian yang digunakan pada penelitian ini adalah semiparametric regresi cox pada data sekunder, warehouse yang terdiri profil (demographi) customer dan historycal payment terdiri atas 25 varibel yang diamati. Model regresi Cox yang digunakan pada penelitian ini adalah model regresi Cox hazard proporsional. Berdasarkan deskripsi data menunjukkan adanya risiko debitur gagal bayar yang Pernah Past Due dibandingkan Never Past Due. Model regresi cox proportional hazard dengan metode semiparametrik dapat digunakan untuk mengedentifikasi faktor-faktor yang mempengaruhi daya tahan debitur. Dari 25 variable yang diamati ada 1 (satu) variable yaitu peubah X16 (Age) yang tidak signifikan berpengaruh terhadap daya tahan debitur. Kata Kunci: Daya Tahan Debitur; Riwayat Pembayaran; Semiparametrik; Regresi Cox; Proporsi Hazard
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spelling doaj.art-4c2b6f6eb1544f7280183b37ec6de6a92022-12-30T08:41:24ZengProgram Studi Keuangan dan Perbankan, Fakultas Ekonomi dan Bisnis, Universitas Komputer IndonesiaJurnal Ilmu Keuangan dan Perbankan2089-28452655-92342022-12-0112110.34010/jika.v12i1.7194Analysis of The Debtor's Endurance using Cox Regression Semiparametric MethodVitri Aprilla Handayani*0Widya Reza1Andini Setyo Anggraeni2Garry Rusmadi3Institut Teknologi BatamInstitut Teknologi BatamInstitut Teknologi BatamInstitut Teknologi Batam The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile (demography) and historical payment consisting of 25 observed variables. The Cox regression model used in this study is a proportional hazard Cox regression model. Based on the description of the data, it shows that there is a risk of defaulting debtors who have been past due compared to never past due. Cox proportional hazard regression model with the semiparametric method can be used to identify factors that affect debtor resilience. Of the 25 variables observed, there is one variable, namely the X16 (Age) variable which does not significantly affect the debtor's endurance. Keywords: Debtor Resistance; Historical Payment; Semiparametric; Cox Regression; Proportional Hazard   Penelitian ini bertujuan untuk mengetahui faktor yang berpengaruh terhadap daya tahan debitur kredit mobil di suatu wilayah. Metode penelitian yang digunakan pada penelitian ini adalah semiparametric regresi cox pada data sekunder, warehouse yang terdiri profil (demographi) customer dan historycal payment terdiri atas 25 varibel yang diamati. Model regresi Cox yang digunakan pada penelitian ini adalah model regresi Cox hazard proporsional. Berdasarkan deskripsi data menunjukkan adanya risiko debitur gagal bayar yang Pernah Past Due dibandingkan Never Past Due. Model regresi cox proportional hazard dengan metode semiparametrik dapat digunakan untuk mengedentifikasi faktor-faktor yang mempengaruhi daya tahan debitur. Dari 25 variable yang diamati ada 1 (satu) variable yaitu peubah X16 (Age) yang tidak signifikan berpengaruh terhadap daya tahan debitur. Kata Kunci: Daya Tahan Debitur; Riwayat Pembayaran; Semiparametrik; Regresi Cox; Proporsi Hazard https://ojs.unikom.ac.id/index.php/jika/article/view/7194
spellingShingle Vitri Aprilla Handayani*
Widya Reza
Andini Setyo Anggraeni
Garry Rusmadi
Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
Jurnal Ilmu Keuangan dan Perbankan
title Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
title_full Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
title_fullStr Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
title_full_unstemmed Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
title_short Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
title_sort analysis of the debtor s endurance using cox regression semiparametric method
url https://ojs.unikom.ac.id/index.php/jika/article/view/7194
work_keys_str_mv AT vitriaprillahandayani analysisofthedebtorsenduranceusingcoxregressionsemiparametricmethod
AT widyareza analysisofthedebtorsenduranceusingcoxregressionsemiparametricmethod
AT andinisetyoanggraeni analysisofthedebtorsenduranceusingcoxregressionsemiparametricmethod
AT garryrusmadi analysisofthedebtorsenduranceusingcoxregressionsemiparametricmethod