Analysis of Factors Affecting Non-Performing Loan at PT Xyz Financing Company Before and During Covid-19 (2018-2022)

Non-Performing Loan is a situation where the ratio of the volume of non-performing loans (arrears >30 days) to total loans. This study aims to analyse the factors that influence the amount of credit (total loans) and the factors that influence Non-Performing Loan at PT XYZ in the range of 2018-2022. This study aims to analyse the factors that influence the amount of credit (total loans) at PT XYZ measured using multiple linear regression methods, while the factors that influence Non-Performing Loan at PT XYZ are measured using Binary Logistic Regression. The data in this study uses secondary data from PT XYZ in 2018-2022. The results of this study indicate that the factors that affect the amount of credit are Vehicle Price, Effective Rate, Installment Value per month, amount of downpayment (DP), total financing, tenor, age, education, gender, marital status, occupation and unit type, while the factors that affect the chances of customers becoming NPF are inflation, customer area and covid-19 pandemic and the Sumatra area is an area that needs special attention because it has a 121.4% higher chance of becoming an NPL.

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Publication Details

Journal
Transekonomika Akuntansi Bisnis dan Keuangan
Published
2024-12-31
DOI
https://doi.org/10.55047/transekonomika.v5i1.846
Primary Topic
Islamic Finance and Communication
Type
article
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article

Analysis of Factors Affecting Non-Performing Loan at PT Xyz Financing Company Before and During Covid-19 (2018-2022)

Bayu Bandono, Hermanto Siregar, Aditya Sajudi
Transekonomika Akuntansi Bisnis dan Keuangan
Islamic Finance and Communication
article

Analysis of Factors Affecting Non-Performing Loan at PT Xyz Financing Company Before and During Covid-19 (2018-2022)

Bayu Bandono, Hermanto Siregar, Aditya Sajudi
article en

Abstract

Non-Performing Loan is a situation where the ratio of the volume of non-performing loans (arrears >30 days) to total loans. This study aims to analyse the factors that influence the amount of credit (total loans) and the factors that influence Non-Performing Loan at PT XYZ in the range of 2018-2022. This study aims to analyse the factors that influence the amount of credit (total loans) at PT XYZ measured using multiple linear regression methods, while the factors that influence Non-Performing Loan at PT XYZ are measured using Binary Logistic Regression. The data in this study uses secondary data from PT XYZ in 2018-2022. The results of this study indicate that the factors that affect the amount of credit are Vehicle Price, Effective Rate, Installment Value per month, amount of downpayment (DP), total financing, tenor, age, education, gender, marital status, occupation and unit type, while the factors that affect the chances of customers becoming NPF are inflation, customer area and covid-19 pandemic and the Sumatra area is an area that needs special attention because it has a 121.4% higher chance of becoming an NPL.

Transekonomika Akuntansi Bisnis dan KeuanganVol. 5(1)
Decent work and economic growth
Openalex Percentile: Top 59%
Islamic Finance and Communication
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Analysis of Factors Affecting Non-Performing Loan at PT Xyz Financing Company Before and During Covid-19 (2018-2022) — Bayu Bandono, Hermanto Siregar, et al. · Transekonomika Akuntansi Bisnis dan Keuangan (2024) | TGRS Research Map | TGRS