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PT. XYZ as one of telecommunications infrastructure providers that suffered losses gave a strong signal that the company was experiencing financial distress. Altman z-score is used to know the condition of the company. The result of Altman z-score analysis company has to further analyze the cause of financial distress. To prevent the company from bankruptcy risk, we cannot only focus on the financial aspect but also from various aspect. Enterprise risk management is used as a tool to identify what risks that could lead companies to experience financial distress and which risk should be mitigated. Risk assessment in this study using the analytic hierarchy process to check and reduce the expert inconsistency. After conducting risk management process, monitoring and review as the final step and implementation of this study. The result from this study is most of the risk are classified into high and medium risk can be mitigate by reduce or transfer the risk depend on the most suitable risk treatment. There are risks that classified as low risk, environment risk and promotion risk.

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References

  1. K. BUMN, “Laporan Kinerja BUMN 2019,” BUMN, Kementerian. 2019.
     Google Scholar
  2. H. Wandebori, Manajemen Strategi Dalam Perspektif Indonesia, 1st ed. Bandung: ITB Press, 2019.
     Google Scholar
  3. Asosiasi Penyelenggara Jasa Internet Indonesia, “Penetrasi & Profil Perilaku Pengguna Internet Indonesia,” Apjii, p. 51, 2017, [Online]. Available: https://apjii.or.id/survei2018s/download/TK5oJYBSyd8iqHA2eCh4FsGELm3ubj.
     Google Scholar
  4. M. M. Hanafi, Manajemen Keuangan. Yogyakarta: BPFE, 2010.
     Google Scholar
  5. K. A. Fachrudin, Kesulitan Keuangan Perusahaan dan Personal. Medan: USU Press, 2008.
     Google Scholar
  6. G. Kunjana, “GCG di BUMN,” Investor Daily, 2020. https://investor.id/editorial/gcg-di-bumn (accessed Oct. 19, 2020).
     Google Scholar
  7. E. I. Altman and E. Hotchkiss, Corporate Financial Distress and Bankruptcy. 2005.
     Google Scholar
  8. R. W. Saaty, “The analytic hierarchy process-what it is and how it is used,” Math. Model., vol. 9, no. 3–5, pp. 161–176, 1987, doi: 10.1016/0270-0255(87)90473-8.
     Google Scholar
  9. S. Aminbakhsh, M. Gunduz, and R. Sonmez, “Safety risk assessment using analytic hierarchy process (AHP) during planning and budgeting of construction projects,” J. Safety Res., vol. 46, pp. 99–105, 2013, doi: 10.1016/j.jsr.2013.05.003.
     Google Scholar
  10. M. A. Mustafa and J. F. Al-Bahar, “Project Risk Assessment Using the Analytic Hierarchy Process,” IEEE Trans. Eng. Manag., vol. 38, no. 1, pp. 46–52, 1991, doi: 10.1109/17.65759.
     Google Scholar
  11. A. Alkhalidi, S. Tahat, and M. Smadi, “Risk assessment using the analytic hierarchy process while planning and prior to constructing wind projects in Jordan,” 2019, doi: 10.1177/0309524X19849862.
     Google Scholar
  12. ISO 31000, “International Organization for Standardization ISO 31000: Risk management - Principles and guidelines,” vol. 2009, p. 36, 2009.
     Google Scholar
  13. K. Madill, “Standards Australia,” 2003.
     Google Scholar
  14. R. R. Moeller, COSO Enterprise Risk Management (Establishing Effective Governance, Risk, and Compliance Processes, Second edi., vol. 7, no. 2. New Jersey: Wiley Corporate F&A, 2011.
     Google Scholar
  15. K. Srinivas, “Process of Risk Management,” Perspect. Risk, Assess. Manag. Paradig., pp. 1–16, 2019, doi: 10.5772/intechopen.80804.
     Google Scholar
  16. E. Risk, enterprise risk management (guidance for practical implementation and assessment. New York: American Institute of Certified Public Accountants, Inc. New, 2014.
     Google Scholar