ANALISIS PREDIKSI KEBANGKRUTAN DENGAN MODEL ALTMAN Z-SCORE MODIFIKASI PADA PERUSAHAAN INFRASTRUKTUR DI BEI PERIODE 2021–2025

Penulis

  • Odie Andika Tidar Zakawali Universitas Islam Sultan Agung, Semarang
  • Marno Nugroho Universitas Islam Sultan Agung, Semarang, Indonesia

DOI:

https://doi.org/10.36085/jam-ekis.v9i2.10176

Abstrak

This study aims to analyze the financial health and bankruptcy potential
trends of infrastructure sub-sector companies listed on the Indonesia
Stock Exchange (IDX) for the 2021–2025 period. The research method
employed is descriptive quantitative using the Modified Altman Z-Score
model, which consists of four financial ratios: Working Capital to Total
Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before
Interest and Tax to Total Assets (X3), and Book Value of Equity to Total
Liabilities (X4). The data used includes annual financial statements from
2021-2024 and Quarter III (Q3) interim financial statements for 2025
from eight sample companies. The results indicate a significant
polarization of financial conditions within the infrastructure sector.
Throughout the observation period, State-Owned Construction
enterprises such as Waskita Karya (WSKT) and Wijaya Karya (WIKA)
consistently remained in the Distress Zone, with Z-Score values
continuously declining, even reaching negative figures. Adhi Karya
(ADHI), Pembangunan Perumahan (PTPP), and Jasa Marga (JSMR)
tended to fluctuate within the Grey Zone, indicating vulnerable yet stable
financial conditions. In contrast, private and specialized infrastructure
operators such as Bukaka Teknik Utama (BUKK), Citra Marga
Nusaphala Persada (CMNP), and Nusantara Infrastructure (META)
demonstrated much stronger performance, dominating the Safe Zone. A
significant surge was observed in META towards the end of the research
period, as the company successfully strengthened its capital structure to
achieve the highest safety score. In general, low operational profitability
and high liability burdens are the primary factors placing several issuers
at risk of bankruptcy.

Referensi

Alif Pipin Kharisma, Nurul Qomari, Ruchan Sanusi, & Dien Ajeng Fauziah. (2025). Financial Distress Analysis Using Altman Z-Score and Zmijewski Models: Case Study of Pt Chandra Asri Pacific Tbk (2019-2023). Jurnal Ekonomi Dan Bisnis, 19(1), 89–99. https://doi.org/10.53916/jeb.v19i1.102

Aprilianti, R., Asliana, E., & Dzulhasni, S. (2025). the Analysis of Bankruptcy Prediction Analysis Using Altman Z Score , Springate , and Interest Coverage Ratio in Delisting Companies in 2025 Analisis Prediksi Kebangkrutan Menggunakan Altman Z Score , Springate , Dan Interest Coverage Ratio Pada Perusahaa. Jurnal Akuntansi Dan Keuangan Universitas Jambi, 10(02), 203–210. https://doi.org/10.22437/jaku.v10i02.47235

Aradhana Sorout, & Netra Pal Singh. (2025). Bankruptcy Prediction Using The Altman Z-Score Modification Model in India: A Case Study of Bharti Airtel Limited. Southeast Asian Business Review, 3(1), 12–33. https://doi.org/10.20473/sabr.v3i1.63958

Ardan, M. A. S. (2024). Pengaruh Financial Distress , Struktur Modal , Dan Ukuran Perusahaan Terhadap Harga Saham Serta Dampaknya Pada Nilai Perusahaan ( PT Waskita Karya 2013-2023 ). 2(2), 107–120.

Ardan, M. A. S. (2024). Pengaruh Financial Distress , Struktur Modal , Dan Ukuran Perusahaan Terhadap Harga Saham Serta Dampaknya Pada Nilai Perusahaan ( Pt Waskita Karya 2013-2023). 2(2), 107–120.

Almilia, L. S., & Kristijadi, K. (2003). Analisis rasio keuangan untuk memprediksi kondisi financial distress perusahaan manufaktur yang terdaftar di bursa efek Jakarta. Jurnal Akuntansi dan Auditing Indonesia, 7(2).

Altman, E. I., Iwanicz‐Drozdowska, M., Laitinen, E. K., & Suvas, A. (2017). Financial distress prediction in an international context: A review and empirical analysis of Altman's Z‐Score model. Journal Of International Financial Management & Accounting, 28(2), 131-171.

Amelia, R. W. (2023). Analisis Financial Distress Dengan Metode Altman Z Score Pengaruhnya Terhadap Harga Saham. Journal of Research and Publication Innovation, 1(2), 309-316.

Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal Of Accounting Research, 71-111.

Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal Of Accounting Research, 71-111.

Brigham, E. F., & Houston, J. F. (2019). Fundamentals of Financial Management: Concise by Cengage. Cengage Learning.

Brenes, R. F., Johannssen, A., & Chukhrova, N. (2022). An intelligent bankruptcy prediction model using a multilayer perceptron. Intelligent Systems with Applications, 16(September). https://doi.org/10.1016/j.iswa.2022.200136

Breuer, W., Haas, S., & Mersmann, K. (2025). Post-bankruptcy performance: A systematic literature review on the performance of U.S. firms after emerging from Chapter 11 bankruptcy. Journal of Economics and Business, 138(December 2025), 106290. https://doi.org/10.1016/j.jeconbus.2025.106290

Eko, B. S. (2020). Analisis survival dalam memprediksi kondisi. 25(1), 112–132.

Irwin, N. R., & Anas, Y. (2026). Analysis Of Human Capital Investment And Income Inequality In Indonesia. Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS), 9(1), 152-161.

Hanafi, J., & Breliastiti, R. (2016). Peran Mekanisme Good Corporate Governance dalam Mencegah Perusahaan Mengalami Financial Distress. 1(1), 195–220.

Hesse, M., & Loy, T. (2025). Unlocking bankruptcy clues: A novel sentence-based machine learning approach. International Journal of Accounting Information Systems, 56(May), 100751. https://doi.org/10.1016/j.accinf.2025.100751

Hanafi, J., & Breliastiti, R. (2016). Peran Mekanisme Good Corporate Governance dalam Mencegah Perusahaan Mengalami Financial Distress. 1(1), 195–220.

Hapsari, E. I. (2012). Kekuatan rasio keuangan dalam memprediksi kondisi financial distress perusahaan manufaktur di BEI. JDM (Jurnal Dinamika Manajemen), 3(2).

Lerinsa, F. (2021). Potensi kebangkrutan suatu perusahaan akibat mismanajemen. Jurnal Simki Economic, 4(1), 66-73.

Muslihat, A., Nugroho, E. S., & Hidajat, R. M. (2018). Analisis tingkat kebangkrutan perusahaan dengan menggunakan Z-Score Altman pada perusahaan Tambang Batubara yang terdaftar di Bursa Efek Indonesia periode 2011-2015. Value: Journal of Management and Business, 2(2).

Manda, G. S., Muhammad, R. F., Putra, A. S., Megawati, L., & Anggraeni, G. P. (2024). Comparative Analysis of Financial Distress by Using the Bankruptcy Prediction Model (Issue Gcbme 2023). Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-443-3_28

Maulana, W., Purwanto, P., & Surya, C. L. (2023). The Role Of The Altman Z-Score Method To Predicate The Bankruptcy Of KUD Sumber Wangi Pamekasan. Wacana Equiliberium (Jurnal Pemikiran Penelitian Ekonomi), 11(02), 121–131. https://doi.org/10.31102/equilibrium.11.02.121-131

Mukadar, A., & Sriwijayanti, D. (2025). Analysis Of Bank Health Level Using Camel At Bprs Muamalat Harkat Bengkulu Tahun 2020-2023. Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS), 8(3), 1518-1530.

Ningsih, S., & Permatasari, F. F. (2018). Analysis method of Altman Z Score modifications to predict financial distress on the company go public sub sector of the automotive and components. International Journal of Economics, Business and Accounting Research (IJEBAR), 2(03).

Revo, H., Polii, L., Kainde, S. J. R., & Pangemanan, R. R. (2026). Financial Stress-Test of the Palm Oil Industry : Bankruptcy Prediction Using the Modified Altman Z-Score During the Downturn Phase. 7(1), 67–81.

Ross, S. A. (1977). The determination of financial structure: the incentive-signalling approach. The bell journal of economics, 23-40.

Sisilia, D., Iqbal, M., & Saefurrohman, G. U. (2026). The Effect Of Foreign Investment, Net Exports, And Tourist Arrivals On Economic Growth In Asean Countries: An Islamic Economic Perspective (2019–2023). Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS), 9(1), 51-65.

Sulung, U., & Muspawi, M. (2024). Memahami sumber data penelitian: Primer, sekunder, dan tersier. Edu Research, 5(3), 110-116.

Sulistyowati, P., & Manajemen, P. (2023). Dampak pengembangan sektor perbankan terhadap kinerja keuangan sektor komunikasi. 3(1).

Syahputra, D., Mujanah, S., & Halik, A. (2025). Dampak Pengangkutan Komoditas Batubara di Sepanjang Alur Sungai Terhadap Kondisi Sosial dan Ekonomi Masyarakat. 6(2), 149–156. https://doi.org/10.47065/jtear.v6i2.2310

Souisa, A. G., Tjondro, E., Kusumawardhani, A., Sadjiarto, A., & Eoh, T. S. (2024). The Role of Real Earnings Management (REM) in The Relationship between Financial Distress and Tax Planning. International Journal of Organizational Behavior and Policy, 3(2), 109–122. https://doi.org/10.9744/ijobp.3.2.109-122

Sulistyowati, P., & Manajemen, P. (2023). Dampak pengembangan sektor perbankan terhadap kinerja keuangan sektor komunikasi. 3(1).

Syahputra, D., Mujanah, S., & Halik, A. (2025). Dampak Pengangkutan Komoditas Batubara di Sepanjang Alur Sungai Terhadap Kondisi Sosial dan Ekonomi Masyarakat. 6(2), 149–156. https://doi.org/10.47065/jtear.v6i2.2310

Yan, H., Gao, Z., & khishe, M. (2026). Multiscale fuzzy wavelet-attention framework enhanced by support vector regression for intelligent financial risk and bankruptcy forecasting. Ain Shams Engineering Journal, 17(1), 103846. https://doi.org/10.1016/j.asej.2025.103846

Zahra, R., Azmi, Z., & Ramashar, W. (2025). An Influence Analysis: Intellectual Capital, Corporate Governance, And Sustainability Reports On Firm Value Of Energy Sector Companies Listed On The IDX (2021-2024). Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS), 8(3), 1786-1799.

Zhao, J., Ouenniche, J., & De Smedt, J. (2024a). A complex network analysis approach to bankruptcy prediction using company relational information-based drivers. Knowledge-Based Systems, 300(July), 112234. https://doi.org/10.1016/j.knosys.2024.112234

Zhao, J., Ouenniche, J., & De Smedt, J. (2024b). Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction. Machine Learning with Applications, 15(January), 100527. https://doi.org/10.1016/j.mlwa.2024.100527

Diterbitkan

2026-05-31