Evaluasi Metode Deteksi Financial Distress pada Perusahaan LQ45
Abstract
Objectives: This study aims to evaluate the accuracy of three financial distress prediction models (Springate, Zmijewski, Grover) on LQ45 companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2023 period. The focus is to assess the models' effectiveness in addressing contemporary financial challenges such as debt restructuring and financial distress indicators amidst dynamic global economic conditions.
Design/method/approach: This quantitative research utilizes secondary data from 37 LQ45 companies selected through purposive sampling, resulting in 148 financial statements for the 2020–2023 observation period. The analysis employs financial ratios and prediction scores from each model using Microsoft Excel for computation.
Results/findings: The Grover model demonstrates the highest accuracy rate (95%) with a type error of 6%, outperforming Zmijewski (accuracy 89%, type error 11%) and Springate (accuracy 59%, type error 41%). This suggests that the Grover model is superior in detecting financial distress.
Theoretical contribution: This study identifies the Grover model as the most accurate method for predicting financial distress in Indonesia. It contributes to the development of more relevant financial distress prediction models for the capital market.
Practical contribution: The findings provide critical insights for shareholders and stakeholders to detect financial risks in LQ45 companies.
Limitations: The study is limited by its reliance on classical prediction models, focus on LQ45 companies, and analysis restricted to the 2020–2023 period. Modern approaches like machine learning, which could enhance prediction accuracy, are not explored.
Type: empirical, review (conceptual and viewpoints).
Keywords
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Ambarwati, K. F., & Sriwardany. (2021). Analisis perbandingan model Springate dan model Zmijewski dalam mengukur tingkat kesehatan perusahaan pada PT. Bintang Persada Satelit. Indonesian Journal of Business Analytics, 1(2), 261–270. https://doi.org/10.54259/ijba.v1i2.81
Aryani, E. M. (2022). Analisis komparasi model Altman Z-Score, Springate, dan Zmijewski untuk memprediksi financial distress pada perusahaan subsektor properti dan real estate yang terdaftar di ISSI periode 2018–2020. Skripsi, Institut Agama Islam Negeri Kudus, 1–14.
Aswirah, Mas’uid, M., & Budiandriani. (2024). Analisis perbandingan Z-Score, Springate, Grover, dan Zmijewski sebagai alat untuk memprediksi financial distress pada perusahaan sektor. Movere Journal, 6(1), 120–132. http://ojs.stiei-tdn.ac.id/index.php/mv
Azizah, F. (2017). Analisis perbandingan model Altman Z-Score dan Springate dalam memprediksi financial distress pada perusahaan tekstil yang terdaftar di Bursa Efek Indonesia. Jurnal Ilmiah Mahasiswa Fakultas Ekonomi dan Bisnis Universitas Brawijaya, 8(1).
Hariadi, F. A. (2021). Perbandingan model Altman (Z-Score) dan Springate (S-Score) untuk memprediksi potensi kebangkrutan pada perusahaan food and beverage. Skripsi. https://repository.dinamika.ac.id/id/eprint/5910/
Hastuti, R. T. (2018). Analisis komparasi model prediksi financial distress Altman, Springate, Grover, dan Ohlson pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode 2011–2013. Jurnal Ekonomi, 20(3), 446. https://doi.org/10.24912/jei.v20i3.405
Islamiyati, D., & Meilandri, D. (2023). Mendeteksi financial distress dengan metode Z-Score dan Springate (Studi pada perusahaan LQ45 yang terdaftar di BEI tahun 2021–2023). JIRHIM: Jurnal Humaniora, 23–36. https://jirhim.uimkaba.ac.id/index.php/jamhi
Julian Smith, A. W. (2023). Bisnis Indonesia – Restrukturisasi utang: Babak baru GIAA & KRAS. PwC Indonesia. https://www.pwc.com/id/en/media-centre/infrastructure-news/january-2023/debt-restructuring-a-new-chapter-for-giaa-kras
Keimbi, L. D., Morasa, J., & Wokas, H. R. N. (2024). Comparative analysis of models (Altman, Grover, Zmijewski, Springate) in predicting company bankruptcy potential in the non-cyclical consumer sector. The Contrarian: Finance, Accounting, and Business Research, 3(2), 180–191. https://doi.org/10.58784/cfabr.165
Kusdiana, Y., Tinaria, L., & Nusyirwan, M. (2023). Model Altman’s Z-Score dan Springate memprediksi financial distress (Studi kasus perusahaan sub migas yang tercatat di BEI tahun 2017–2020). Jurnal Akuntansi, Manajemen, Bisnis, dan Teknologi (AMBITEK), 3(1), 127–135. https://doi.org/10.56870/ambitek.v3i1.78
Kuistianto, F. I., Joyo, R., & Octavianus, N. (2016). Grover terhadap perusahaan manufaktur di Indonesia periode 2013–2016.
Meiliawati, A., & Isharijadi, I. (2017). Analisis perbandingan model Springate dan Altman Z-Score terhadap potensi financial distress (Studi kasus pada perusahaan sektor kosmetik yang terdaftar di Bursa Efek Indonesia). Assets: Jurnal Akuntansi dan Pendidikan, 5(1), 15. https://doi.org/10.25273/jap.v5i1.1183
Meirien Olivia, L. P., Wangsih, I. C., & Kalbuiana, N. (2023). The effect of profitability and board size on financial distress in LQ45 companies. Management Studies and Entrepreneurship Journal, 4(4), 3748–3754. http://journal.yrpipku.com/index.php/msej
Oktaviani, P. (2024). Analisis komparatif model Altman, Ohlson, Taffler, Fulmer, dan Grover dalam memprediksi financial distress (Studi pada perusahaan farmasi yang terdaftar di BEI periode 2019–2022). Skripsi, Fakultas Ekonomi dan Bisnis Universitas Islam Negeri Syarif Hidayatullah Jakarta.
Panai, R. S. H. H., & Bailusy, M. N. (2023). Analisis perbandingan ketepatan prediksi financial distress perusahaan menggunakan metode Altman, Springate, Zmijewski, dan .... JIMAT (Jurnal Ilmiah ...), 66–80. https://ejournal.undiksha.ac.id/index.php/S1ak/article/view/20543
Ramly, R., & Amilia, A. A. (2023). Perbandingan ketepatan prediksi financial distress antara model Altman Z-Score dengan model Zmijewski X-Score. Tangible Journal, 8(1), 55–63. https://doi.org/10.53654/tangible.v8i1.340
Rosana, F. C. (2021). Restrukturisasi utang Garuda diklaim tak segampang Waskita, mengapa? Tempo.co. https://www.tempo.co/ekonomi/restrukturisasi-utang-garuda-diklaim-tak-segampang-waskita-mengapa-456037
Springate, G. L. V. (1978). Predicting the possibility of failure in a Canadian firm. Unpublished MBA Research Project, Simon Fraser University, Canada.
Supriati, D., Bawono, I. R., & Anam, K. C. (2019). Analisis perbandingan model Springate, Zmijewski, dan Altman dalam memprediksi financial distress. Journal of Business Administration, 3(2), 2548–9909. www.okezone.com
Wahyuni EDT, R., & Seriska, H. (2022). Altman Z-Score dan Springate: Metode komparasi dalam memprediksi kemungkinan kebangkrutan suatu perusahaan. Akuntabilitas, 15(2), 229–240. https://doi.org/10.15408/akt.v15i2.28600
Zmijewski, M. E. (1984). Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research, 22, 59–82
DOI: https://doi.org/10.24853/jago.5.2.166-181
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