How Effective Is Credit Analysis in New Car Financing? Insights from PT Clipan Finance Indonesia – Bekasi Branch

Authors

  • A. Putri Djohar Tenri Waru Faculty of Economics and Business, Bina Sarana Informatics University, Jakarta
  • Mutiara Sukmawati Faculty of Economics and Business, Bina Sarana Informatics University, Jakarta

https://doi.org/10.33476/jobs.v6i2.5806

Keywords:

Credit Analysis, Financing, Procedures

Abstract

The growth of the financing industry in Indonesia has increased the need for effective credit analysis to maintain service quality and manage credit risk. Previous studies mainly emphasize quantitative risk assessment, while limited attention has been given to evaluating the effectiveness of credit analysis procedures at the operational branch level. This study aims to analyze the process and effectiveness of credit analysis procedures for new car financing at PT Clipan Finance Indonesia, Bekasi Branch. The research adopts a descriptive qualitative approach, with data collected through observation, interviews, and documentation. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The findings reveal that the credit analysis process involves debtor data collection, field surveys, creditworthiness assessment by credit analysts, and layered managerial approval based on internal policies. During January–May 2025, 83 financing applications were processed, with 67% approved and 33% rejected due to failure to meet eligibility criteria. Overall, the credit analysis procedures were effective in assessing debtor capability and eligibility. However, challenges remain in document verification and interdepartmental coordination. The study suggests strengthening document validation and improving coordination to enhance credit analysis effectiveness

References

Caurel Natasya, A., & Rachmawati, T. (2025). Analisis terhadap Penerapan Manajemen Risiko Kredit dalam Meminimalisir Kredit Bermasalah pada Bank Jatim (Studi pada PT. Bank JatimTbk Kantor Pusat Surabaya). Jurnal Masharif Al-Syariah: Jurnal Ekonomi Dan Perbankan Syariah, 10(1), 230–239. https://doi.org/10.30651/jms.v10i1.25256

Hairullah, N. I., Sobarsyah, M., & Aswan, A. (2022). The Analysis of Risk Level Effect on Credit Decision Making. JEKPEND: Jurnal Ekonomi Dan Pendidikan, 5(1), 46. https://doi.org/10.26858/jekpend.v5i1.30931

Hamonangan. (2020). Analisis Penerapan Prinsip 5C dalam Penyaluran Pembiayaan pada Bank Muamalat KCU Padangsidempuan. Jurnal Ilmiah MEA (Manajemen, Ekonomi, Dan Akuntansi), 4(2), 454–466.

Maulani, A., Norisanti, N., & Ramadan, A. M. (2024). Analisis Penyaluran Kredit, dan Kredit Macet terhadap Profitabilitas: Studi Keuangan Pada Sektor Perbankan yang Terdaftar di Bursa Efek Indonesia Periode 2023. Al-Kharaj : Jurnal Ekonomi , Keuangan & Bisnis Syariah, 6(2), 2547–2562. https://doi.org/10.47467/alkharaj.v6i11.3596

Nisa, E. C., Rosiyah, N., & Try Octavia, R. (2024). Manajemen Resiko Kredit pada Perbankan Syariah Credit Risk Management In Islamic Banking. Analisis Ekonomi Syariah, 1(4), 19–24.

Omune, M. O., & Abuga, I. M. (2023). Analysis of Credit Management Techniques on the Financial Performance of Logistics Firms in Mombasa County Kenya. Asian Journal of Economics, Business and Accounting, 23(11), 1–14. https://doi.org/10.9734/ajeba/2023/v23i11974

Jamaluddin. (2024). Pengantar Credit Analyst. Wawasan Ilmu.

Kasmir. (2022). Dasar - Dasar Perbankan. Raja Grafindo Persada.

Sugiyono. (2023). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Alfabeta.

Saputra, F. (2025). Piutang Pembiayaan Multifinance Hanya Tumbuh 6,82% per Desember 2024. Kontan.co.id. https://keuangan.kontan.co.id/news/piutang-pembiayaan-multifinance-hanya-tumbuh-682-per-desember-2024?utm_source=chatgpt.com#google_vignette

Statistik, B. P. (2024). Pertumbuhan Ekonomi Jawa Barat Sepanjang Tahun 2023 Menunjukkan Kinerja Positif. Open Data Jabar. https://opendata.jabarprov.go.id/id/infografik/pertumbuhan-ekonomi-jawa-barat-sepanjang-tahun-2023-menunjukkan-kinerja-positif

Sánchez, José Francisco Martínez., Lechuga, Gilberto Pérez. (2016). Assessment of a credit scoring system for popular bank savings and credit. Contaduria Administraction. 61(2) 221-264

Chang, Victor., Xu Qianwen., Akinloye, Shola Habib.(2024). Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study. Annals of Operations Research 354(1):247-271. DOI: https://doi.org/10.1007/s10479-024-06134-x

Alfiana., Judijonto, Loso., Amin, A. (2024). Credit Risk Management Strategies For Financial Stability inThe Banking Sector. COSMOS: Journal of Education, Economics, and Technology. 1(5)

Sukma, Aini. (2019). Analisis Tingkat Resiko Kredit Pada Pt. Bank RakyatIndonesia (Persero) Tbk Cabang Soppeng. Jurnal Ilmiah METANSI ”Manajemen dan Akuntansi” 2(2).

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Published

2025-12-29

How to Cite

Waru, A. P. D. T., & Sukmawati, M. (2025). How Effective Is Credit Analysis in New Car Financing? Insights from PT Clipan Finance Indonesia – Bekasi Branch. Jurnal Orientasi Bisnis Dan Entrepreneurship (JOBS), 6(2), 116–124. https://doi.org/10.33476/jobs.v6i2.5806