Evaluation of the Accuracy of the Bankometer Model in Predicting Financial Distress of Rural Banks Whose Business Licenses Have Been Revoked by the OJK
DOI:
https://doi.org/10.65310/8hm8z625Keywords:
Bankometer, Financial Distress, BPR, Bankruptcy Prediction, Banking StabilityAbstract
This study aims to evaluate the accuracy of the Bankometer model in predicting financial distress in 22 rural banks (BPR) and rural bank cooperatives (BPRS) whose business licenses were revoked by the Financial Services Authority (OJK) during the period 2022–2024. The background of this study stems from the increasing number of failed rural banks, which indicates that the conventional ratio-based supervisory approach has not been fully effective in detecting early signs of performance decline. The method used is quantitative descriptive analysis using quarterly financial reports as secondary data and applying the Bankometer S-score calculation to classify the level of bank health. The results show that one year before the revocation of licenses, only a small portion of BPRs were in the distress category, while more than half were classified as very healthy. Two years earlier, the entire sample was even in the super sound category, so the model was unable to provide early signals of deteriorating efficiency and asset quality. These findings indicate that Bankometer is less sensitive to the operational dynamics of rural banks. This study concludes that the model needs to be revised to be more adaptive to the characteristics of microbanking risk
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References
Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4), 589–609. https://doi.org/10.1111/j.1540-6261.1974.tb00057.x
Antaranews. (2025). “LPS tangani 26 bank bermasalah dalam setahun dan likuidasi 23 bank”, tersedia di https://www.antaranews.com/berita/5217661/lps-tangani-26-bank-bermasalah-dalam-setahun-dan-likuidasi-23-bank, diakses pada 27 November 2025.
Barodawala, A. Y. A. (2024). Weighing Up the Financial Soundness of Public Sector Banks with Bankometer Analysis. 10(1), 87–91.
Beaver, W. H. (1966). Financial Ratios As Predictors of Failure. Journal of Accounting Research, 4(1966), 71–111. https://doi.org/10.2307/2490171.
Çalış, N., Kevser, M., & Sakarya, Ş. (2022). Katılım Bankalarının Finansal Sağlamlığının Bankometer ve Z-Skor Yöntemleriyle Analizi. Adam Akademi Sosyal Bilimler Dergisi, 12(2), 301–321. https://doi.org/10.31679/adamakademi.
Detik.com. (2024). “137 Bank di Indonesia Tutup, Paling Banyak BPR”, tersedia di https://www.detik.com/sumbagsel/bisnis/d-7648102/137-bank-di-indonesia-tutup-paling-banyak-bpr, diakses pada 27 November 2025.
Fadilah, A. N., Ros, M., & Rikawati. (2024). Prediksi Financial Distress Bank Menggunakan Metode Bankometer. Jurnal Akuntansi Trisakti, 11(1), 129–140. https://doi.org/10.25105/jat.v11i1.19538.
Indryani, R. I., & Nadila, L. (2025). Pengaruh Tingkat AI Augmented Decision Tools dan Kecepatan Respons Organisasi terhadap Tingkat Adaptabilitas Strategis Startup. Journal of Economics, Management, and Accounting, 1(1), 30-38. https://doi.org/10.65310/t8c51b13.
International Monetary Fund. (2000). Macroprudential Indicators of Financial System Soundness. IMF Occasional Papers, 192, 45–47.
Kristina, L., Kusimaningati, I. D., Global, P. P., & Stibisnis, P. (2025). Analisis Financial Distress pada Bank Perkreditan Rakyat Artha Kramat. Monex - Journal of Accounting Research, 14(1).
Lembaga Penjamin Simpanan. (2024). Daftar Bank yang Dilikuidasi LPS, tersedia di https://lps.go.id/bank-yang-dilikuidasi/, diakses pada 27 November 2025.
LPS. (2025). “Laporan Tahunan LPS 2024”, tersedia di https://lps.go.id/laporan-tahunan-lps-2024/, diakses pada 28 November 2025.
Miskak, S. (2020). Kegagalan Analisis Laporan Keuangan Dalam Memprediksi Kebangkrutan BPR/BPRS di Indonesia. Kajian Ekonomi Dan Keuangan, 3(3), 161–181. https://doi.org/10.31685/kek.v3i3.476.
Nurrochmah, A., Tan, A. W., & Rahayuningsih, S. (2025). Peran Transparansi Keuangan dalam Memediasi Pengaruh Penyajian Kas terhadap Kualitas Laporan Keuangan pada Usaha Mikro di Kalianak Morokrembangan. Journal of Economics, Management, and Accounting, 1(2), 102-112. https://doi.org/10.65310/wt2jna85.
Oseni, E. (2024). Evaluation of Nigerian Deposit Money Banks’ Soundness: Bankometer Model. Asian Journal of Economics, Business and Accounting, 24(7), 30–50. https://doi.org/10.9734/ajeba/2024/v24i71390.
Otoritas Jasa Keuangan. (2016). Buku Saku Otoritas Jasa Keuangan. Jakarta: OJK.
Pranata, N. A., Christyasari, D., & Rahayuningsih, S. (2025). Transformasi Digital dan Manajemen Persediaan sebagai Determinan Likuiditas UMKM Eco Enzyme di Surabaya. Journal of Economics, Management, and Accounting, 1(2), 134-141. https://doi.org/10.65310/4fctsq27.
Pratiwi, A., Verani, T., & Rayhan, A. (2023). The Comparative Analysis of Financial Distress Precipitating Factors in Islamic Banking in Indonesia and Malaysia Based on Bankometer Variables. Falah: Jurnal Ekonomi Syariah, 8(2), 32–46. https://doi.org/10.22219/jes.v8i2.27973.
Republik Indonesia. (2011). Undang-Undang Republik Indonesia Nomor 21 Tahun 2011 tentang Otoritas Jasa Keuangan.
Shakbutova, A., & Shopasheva, A. (2020). Assessment of the Probability of Kazakhstan Banks Bankruptcy on the Basis of the Bankometer Model. Central Asian Economic Review, 3(132), 175--188.
Shar, A. H., Shah, M. ali, & Jamali, H. (2010). Performance Evaluation of Banking Sector in Pakistan: An Application of Bankometer. International Journal of Business and Management, 5(9), 113–118. https://doi.org/10.5539/ijbm.v5n9p81.
Yavuz, A. E. (2023). Finansal Sağlamlık: Türk Bankacılık Sektörünün Bankometer ile İncelenmesi. Uluslararası Akademik Birikim Dergisi, 6(Special Issue), 317–331. https://doi.org/10.5281/zenodo.10004531.
Zmijewski, M. E. (1984). Methodological Issues Related to the Estimation of Financial Distress Prediction Models. Journal of Accounting Research, 22, 59–82. https://doi.org/10.2307/2490859.
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Copyright (c) 2025 Siti Atika Azzahrah, Tri Joko Prasetyo (Author)
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