Integration of Risk Thresholds into Enterprise Risk Management (ERM) Implementation in An Energy Company

Willy Januardi; Putu Dana Karningsih; Demi Ramadian

doi:10.24036/eksakta/vol27-iss03/708

EKSAKTA: Berkala Ilmiah Bidang MIPA

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Integration of Risk Thresholds into Enterprise Risk Management (ERM) Implementation in An Energy Company

Willy Januardi ¹

, Putu Dana Karningsih ¹

, Demi Ramadian ²

¹ Department of Systems and Industrial Engineering, Faculty of Industrial Technology and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

² Agro Industrial Engineering, Polytechnic ATI Padang, Indonesia

Published 2026-06-30

Vol. 27 No. 03 (2026) PAGES 449-465

DOI 10.24036/eksakta/vol27-iss03/708

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Abstract

All state-owned enterprises are obligated to implement risk management effectively. Risk management implementation can be assessed using the Risk Maturity Index (RMI). The 2024 RMI assessment at one of the state-owned energy subsidiaries indicated that the Company is at the "Developing" stage (score 2.9 out of 5). Critical weaknesses occurred because the company had not conducted a comprehensive risk capacity calculation. Risk capacity constitutes a key component of an organization's risk threshold and serves as the basis for determining risk appetite, risk tolerance, and risk limits. This study aims to identify an appropriate method for calculating the risk threshold value and to apply the selected approach for the year 2026. Risk capacity is calculated based on the Company's financial statements from 2019 to 2024 using a Modified Altman Z-Score approach is proposed to determine the financial distress point as a measure of risk capacity. The resulting risk capacity was estimated at IDR 1.42 trillion and subsequently validated using the Value at Risk (VaR) method. The findings of this study are expected to provide a quantitative basis for the Company in formulating its 2026 risk strategy, while also contributing to the improvement of its RMI score.

References

1

[1] Kementerian Badan Usaha Milik negara (BUMN). (2023). Peraturan Nomor 2 Tahun 2023 tentang Pedoman Tata Kelola dan Kegiatan Korporasi Signifikan.

2

[2] Kementerian Badan Usaha Milik negara (BUMN). (2023). Peraturan Nomor SK-6 Tahun 2023 tentang Petunjuk Teknis Proses Manajemen Risiko san Agregasi pada taksonomi Risiko Portfolio Badan Usaha Milik Negara.

3

[3] Kementerian Badan Usaha Milik negara (BUMN). (2023). Peraturan Nomor SK-8 Tahun 2023 tentang Petunjuk Teknis Penilaian Indeks kematangan Risiko (Risk maturity Index) di Lingkungan Badan Usaha Milik Negara.

4

[4] Abdulkareem, H. (2015). The revised Altman Z’-score Model Verifying its Validity as a Predictor of Corporate Failure in the Case of UK Private Companies. In Conference.(January).

5

[5] Arnold, U., & Yildiz, Ö. (2015). Economic risk analysis of decentralized renewable energy infrastructures–A Monte Carlo Simulation approach. Renewable energy, 77, 227-239.

6

[6] Alcalde, R., Alonso de Armiño, C., & García, S. (2022). Analysis of the economic sustainability of the supply chain sector by applying the Altman Z-score predictor. Sustainability, 14(2), 851.

7

[7] Zhdanova, L. (2022). Implementation of the risk appetite concept in the diagnosis of financial risks and threats to the economic security of enterprises of the viticulture and wine industry of Ukraine. VUZF Review, 7(3), 88.

8

[8] Abed, H. R., & Rashid, H. A. (2024). A New Risk Assessment Model for Construction projects by adopting a best–worst method–fuzzy rule-based system coupled with a 3D risk matrix. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 48(1), 541-559.

9

[9] Saputra, D., Zukhri, N., Altin, D., Nugroho, A. A., Setiawan, R. D., Fitari, T., & Thohari, M. (2023). Value at risk analysis using historical method and Monte Carlo simulation in banking and mining sector companies. International Journal of Applied Management and Business, 1(1), 26-31.

10

[10] Huynh, N., & Le, Q. N. (2025). From chain to capital: Supply chain risks and working capital management. Economics Letters, 247, 112100.

11

[11] Jonek-Kowalska, I. (2019). Efficiency of Enterprise Risk Management (ERM) systems. Comparative analysis in the fuel sector and energy sector on the basis of Central-European companies listed on the Warsaw Stock Exchange. Resources policy, 62, 405-415.

12

[12] Nikolaenko, V., & Sidorov, A. (2023). Assessing the Maturity Level of Risk Management in IT Projects. Sustainability, 15(17), 12752.

13

[13] Sinansari, P., Hanoum, S., & Rinaldi, I. (2021, December). Maturity Level Risk Management in State-Owned Enterprises. In 3rd International Conference on Business and Management of Technology (ICONBMT 2021) (pp. 322-327). Atlantis Press.

14

[14] Iso, I. (2009). Risk management–Principles and guidelines. International Organization for Standardization, Geneva, Switzerland.

15

[15] Pecina, E., Miloš Sprčić, D., & Dvorski Lacković, I. (2022). Qualitative analysis of enterprise risk management systems in the largest European electric power companies. Energies, 15(15), 5328.

16

[16] Prieto, R. (2022). Enterprise risk management in the engineering and construction industry. PM World Journal.

17

[17] Afrianda, R. (2026). Integration Of Enterprise Risk Management In Strategic Planning To Achieve High-Quality Growth: A Case Study Of Pt Pln Nusantara Power. INJOSEDU: International Journal of Social and Education, 2(11), 3224-3237.

18

[18] Committee of Sponsoring Organizations of the Treadway Commission. (2020). Compliance risk management: Applying the COSO ERM framework. Society of Corporate Compliance and Ethics & Health Care Compliance Association. Disponível em: https://www. coso. org/Documents/COSO-ERM-Executive-Summary-Portuguese. pdf.

19

[19] Mupa, M. N., Chiganze, F. R., Mpofu, T. I., Mubvuta, R. E. G. I. S., & Mangeya, R. (2024). The role of enterprise risk management (ERM) in supporting strategic decision-making processes in the energy sector. Iconic Research and Engineering Journals, 8(2), 826-848.

20

[20] Fraser, J., & Simkins, B. J. (2010). Enterprise risk management (pp. 171-187). Hoboken, NJ: Wiley.

21

[21] Gönsch, J. (2017). A survey on risk-averse and robust revenue management. European Journal of Operational Research, 263(2), 337-348.

22

[22] Prihatini, A. C. M. L., Oktaryani, G. A. S. (2024). The Effect of Net Working capital and Leverage on Cash Holding (A case study of Food and Baverage Sector Company Listed on the Indonesia Stock Exchange). JEFMS Journal, 8 (7), 4580-4588.

23

[23] Karunarathne, B. V. G., & Kim, B. S. (2021). Risk management application-level analysis in South Korea construction companies using a generic risk maturity model. KSCE Journal of Civil Engineering, 25(9), 3235-3244.

24

[24] Sutarmin, S., & Fitriani, L. (2026). Developing A Comprehensive Risk Management Model For Integrated Electricity Providers: Insights From Iso 22301-Based Financial Impact Analysis. SULTANIST: Jurnal Manajemen dan Keuangan, 14(1S), 26-46.

25

[25] Jin, Y. (2024). Management risk appetite, internal control and corporate financialization. Finance Research Letters, 63, 105393.

26

[26] Sorout, A., & Singh, N. P. (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.

27

[27] Sorout, A., & Singh, N. P. (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.

28

[28] Al-Najjar, S. M., & Jawad, M. K. (2023). Application of Z–Score and Z-3 Score Models to Evaluate the Financial Situation of the Modern Sewing Company: A Case Study. International Journal for Humanities & Social Sciences (IJHS), (2), 46-57.

29

[29] Fifriani, R., Santosa, P.W. (2019). Application of Altman Modified Z-Score to Predict Financial Distress in the Indonesian Telecommunications Industry. Journal of Economics and Business Aseanomics (JEBA), 4 (1), 23-34.

30

[30] Astuti, P. E., & Gunarsih, T. (2021). Value-at-risk analysis in risk measurement and formation of optimal portfolio in banking share. JBTI: Jurnal Bisnis: Teori dan Implementasi, 12(2), 103-114.

31

[31] Prihatiningsih, D. R., Di Asih, I. M., & Rahmawati, R. (2020). Value at risk (VaR) dan conditional value at risk (CVaR) dalam pembentukan portofolio bivariat menggunakan copula Gumbel. Jurnal Gaussian, 9(3), 326-335.

32

[32] Susilo, B. (2026). Determinants of Financial Distress in Construction State-Owned Enterprises Listed on the Indonesian Stock Exchange for the Period 2015-2024 Based on Altman Z-Score. Majapahit Journal of Islamic Finance and Management, 6(1), 738-765.

33

[33] Kharisma, A. (2023). Analysis Of Financial Distress Using The Altman Z-Score Model In PT Sido Muncul Tbk In The Period 2020-2022. IJME JOURNAL, 2 (2), 59-68.

34

[34] Montgomery, D.C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley. ISBN: 978-1-119-65599-0.

35

[35] Asif, S., Hemalatha, T., Reddy, D.V. (2025). Advancing Corporate Bankruptcy Forecasting: A Multi-Model Approach with Enhanced Imbalance Handling. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 13(XII), 783-794.

36

[36] Pantoja-Aguilar, M. P., Pizano-Ramírez, G. D. M., Lerma-Torres, B., & Zavala-Vargas, M. Á. (2021). Testing Altman’s Z’’-Score to assess the level of accuracy of the model in Mexican companies. Nova scientia, 13(27).

37

[37] Baldan, C., Geretto, E., & Zen, F. (2016). A quantitative model to articulate the banking risk appetite framework. Journal of Risk Management in Financial Institutions, 9(2), 175-196.

Integration of Risk Thresholds into Enterprise Risk Management (ERM) Implementation in An Energy Company

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