Analisis Potensi Kebangkrutan Pada Perusahaan Konstruksi yang Terdaftar di Bursa Efek Indonesia (BEI) untuk Periode 2019-2023
DOI:
https://doi.org/10.35870/emt.v9i4.4600Keywords:
Bankruptcy Potential, Construction, Altman Z-Score, Springate, Zmijewski, GroverAbstract
This study aims to analyze the potential for bankruptcy in construction companies listed on the Indonesia Stock Exchange (IDX) during the period 2019 to 2023 by employing four bankruptcy prediction models: Altman Z-Score, Springate, Zmijewski, and Grover. The construction industry plays a vital role in national infrastructure development, yet it remains vulnerable to economic pressures, project financing challenges, and cash flow volatility, all of which may lead to financial instability. This research uses a quantitative approach with secondary data derived from annual financial statements of 16 construction companies collected over five years. Each model is applied to assess the level of bankruptcy risk, followed by the Kruskal-Wallis test to examine significant differences among the models, and further evaluated through accuracy and Type II error tests to determine each model’s reliability. The results indicate classification variations among the models in identifying companies within the Distress Zone. The Altman Z-Score model proves to be the most sensitive in detecting bankruptcy risk, while the Grover model demonstrates the highest accuracy rate at 93.75% and the lowest Type II error rate at 6.25%. Conversely, the Springate model records the lowest accuracy. The study concludes that companies with healthier capital structures and efficient financial management tend to remain more stable, whereas those burdened with high debt and low liquidity are more prone to financial distress.
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Buele, I., Mora, A., & Santiago, S. (2021). Ecuadorian wholesale and retail trade companies: analysis of the financial situation and bankruptcy forecast under Altman Z-score. Academy of Accounting and Financial Studies Journal, 25(1), 1-11.
Fathuddin, F. (2008). Prediksi Kebangkrutan Pada Perusahaan Pertambangan yang Go Public di Jakarta Islamic Index Tahun 2005-2006. Perpustakaan Digital UIN Sunan Kalijaga Yogyakarta.
Heryanto, A. C. N. (2020). Analisis Prediksi Kebangkrutan Perusahaan Dengan Model Grover. COMPETITIVE Jurnal Akuntansi Dan Keuangan, 4(2), 54-65.
Indonesia, I. A. (2015). Pernyataan standar akuntansi keuangan. Jakarta: Ikatan Akuntan Indonesia, 96.
Isnain, F., Kusumayuda, Y., & Darwis, D. (2022). Penerapan Model Altman Z-Score Untuk Analisis Kebangkrutan Perusahaan Menggunakan (Sub Sektor Perusahaan Makanan Dan Minuman Terdaftar Di Bursa Efek Indonesia). J. Ilm. Sist. Inf. Akunt, 2(1), 1-8.
Liew, K. F., Lam, W. S., & Lam, W. H. (2023, April). Financial distress analysis of technology companies using grover model. In Computer Sciences & Mathematics Forum (Vol. 7, No. 1, p. 6). MDPI.
Matahari, M., Akbar, A., & Anwar, A. (2022). Analisis Financial Distress pada perusahaan telekomunikasi yang terdaftar di Bursa Efek Indonesia periode 2016-2021. Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan, 4(10), 4659-4670. https://doi.org/10.32670/fairvalue.v4i10.1739.
Melia, Y., & Deswita, R. (2020). Analisis Predeksi Kebangkrutan dengan Menggunakan Metode Altman Z-Score. Jurnal Akuntansi Keuangan Dan Bisnis, 13(1), 71-80.
Octaviani, R., & Haryadi, D. (2021). Analysis of Potential Bankruptcies Using the Altman Z-Score and Springate Score Methods in The Textile and Garment Sub-Sector Manufacturing Companies Listed on The Indonesian Stock Exchange (IDX) For The 2014-2019 Period. JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi), 5(2), 291-304. https://doi.org/10.36555/jasa.v5i2.1699.
Platt, H. D., & Platt, M. B. (2002). Predicting corporate financial distress: Reflections on choice-based sample bias. Journal of economics and finance, 26(2), 184-199.
Pongoh, M. (2013). Analisis Laporan Keuangan untuk Menilai Kinerja Keuangan PT. Bumi Resources Tbk. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 1(3). https://doi.org/10.35794/emba.1.3.2013.2135.
Prasetiyani, E., & Sofyan, M. (2020). Bankruptcy analysis using Altman Z-score model and Springate model in retail trading company listed in Indonesia Stock Exchange. Ilomata International Journal of Tax and Accounting, 1(3), 139-144.
Pravin, P., & Dhabaliya, D. A. (2023). Analysis Of Financial Distress Using Altman's Z-Score Model In Selected Indian Pharmaceutical Companies. Journal of Advanced Research in Economics and Administrative Sciences, 4(4), 1-13.
Putri, D. R. O., Mursalini, W. I., & Nasrah, R. (2023). Analisis Prediksi Kebangkrutan Menggunakan Model Springate (S-Score) Pada Perusahaan Sub Sektor Ritel Di Bursa Efek Indonesia 2016-2020. GEMILANG: Jurnal Manajemen Dan Akuntansi, 3(1), 1-20.
Rahman, F. (2021). Analisis Prediksi Financial Distress dengan Menggunakan Model Sringate pada Perusahaan Properti dan Real Estate yang Terdaftar di BEI Periode 2019-2020. GOVERNANCE: Jurnal Ilmiah Kajian Politik Lokal Dan Pembangunan, 8(2). https://doi.org/10.56015/governance.v8i2.42.
Rahman, M. M., Sultana, Z., Jahan, M., & Fariha, R. (2020, May). Prediction of Financial Distress in Bangladesh’s Banking Sector Using Data Mining and Machine-Learning Technique. In Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2019 (pp. 151-162). Singapore: Springer Singapore.
Risma, J., & Munandar, A. (2023). Analisis Prediksi Kebangkrutan Pada Perusahaan Sub Sektor Kontruksi dan Bangunan Yang Terdaftar Di Bei. Jurnal Manajemen, 13(2), 364-376. https://doi.org/10.30738/jm.v13i2.3822.
Rusman, R. (2021). Analisis Prediksi Kebangkrutan Menggunakan Model Altman Z-Score Pada Perusahaan Ritel Yang Terdaftar Di Bursa Efek Indonesia Tahun 2014-2018. Jurnal Administrasi Bisnis Fisipol Unmul, 9(1), 84.
Shafitranata, R. C., & Arshed, N. (2020). Prediction of Islamic Banking Bankruptcy in Indonesia: Comparative Study of Altman Z-Score and Springate Models. Ikonomika: Jurnal Ekonomi dan Bisnis Islam, 5(2), 231-248.
SITOMPUL, Y. K. (2023). ANALISIS FINANCIAL DISTRESS PADA PERUSAHAAN KONSTRUKSI DENGAN METODE ALTMAN (Studi Empiris Pada Perusahaan Sub Sektor Industri Konstruksi Bangunan yang Tercatat di Bursa Efek Indonesia Tahun 2019–2021) (Doctoral dissertation, Universitas Mercu Buana-Buncit).
Stankevičienė, J., & Prazdeckaitė, G. (2021). Analysis of the accuracy of bankruptcy prediction models: the case of Lithuanian companies. Apskaitos ir finansų mokslas ir studijos: problemos ir perspektyvos, 15(1), 44-53.
Sudrajat, M. A., & Wijayanti, E. (2019). Analisis Prediksi Kebangkrutan (Financial Distress) dengan Perbandingan Model Altman, Zmijewski dan Grover. INVENTORY: Jurnal Akuntansi, 3(2), 116-130.
Wahyuningsih, T., & Venusita, L. (2022). Financial analysis of retail companies using the Altman, Springate, Zmijewski, Fulmer, And Grover Bankruptcy Prediction Models: Case study of retail companies listed on the Indonesia Stock Exchange for the Period 2019-2020. Journal of accounting, entrepreneurship and financial technology (JAEF), 3(2), 149-168. https://doi.org/10.37715/jaef.v3i2.2661.
Waworuntu, V., Taroreh, R. N., & Lumintang, G. G. (2022). Pengaruh Gaya Kepemimpinan Wanita dan Komunikasi Wanita Terhadap Kinerja Karyawan PT. Chas Gas Adhikarya Manado. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 10(4), 1761-1768. https://doi.org/10.35794/emba.v10i4.44404.
Wulandari, E., & Fauzi, I. (2022). Analisis perbandingan potensi kebangkrutan dengan model grover, altman z-score, springate dan zmijewski pada perusahaan real estate dan property di Bursa Efek Indonesia. Ekonomi, Keuangan, Investasi Dan Syariah (EKUITAS), 4(1), 109-117.
Xhindi, T., & Shestani, K. (2020). Financial distress and bankruptcy prediction: An empirical analysis of the manufacturing industry in Albania. WSEAS Transactions on Business and Economics, 17, 33-40.
Yam, J. H., & Taufik, R. (2021). Hipotesis penelitian kuantitatif. Perspektif: Jurnal Ilmu Administrasi, 3(2), 96-102.
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