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Information Technology Governance Audit Using COBIT 5 Framework in the Natural Resources Conservation Office

Authors

  • I Gede Eka Artha Putra Universitas Pendidikan Ganesha
  • Luh Joni Erawati Dewi Universitas Pendidikan Ganesha
  • I Made Gede Sunarya Universitas Pendidikan Ganesha

DOI:

10.47709/cnahpc.v5i1.2079

Keywords:

Audit, Governance and Information Technology, Guttman Method, COBIT 5

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Abstract

One of the organizations that requires the implementation of good information technology governance is the natural resources conservation office. The audit was conducted to determine the level of IT process capability based on the COBIT 5 standard and to determine the level of gaps (gaps) owned by the natural resources conservation office. The process of implementing the audit begins with observing the agency's environment related to activity data and its implementation, then mapping the data with business objectives according to COBIT 5, followed by mapping business objectives with IT objectives to obtain IT processes. The IT processes obtained are then selected to obtain important IT processes according to company officials. The TI process obtained is then processed using the Guttman method. The results of the IT process capability level, namely EDM01, EDM02 and APO09, are at level 3 (established). The gaps found need to be given a corrective strategy to achieve the capability expected by the institution, namely 4 (predictable process) by providing recommendations regarding steps to achieve the expected capability value. The recommendations and improvements provided use ISO/IEC 15504:2 and ISO27002 standards which were obtained by mapping IT processes on COBIT 5.

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ARTICLE Published HISTORY

Submitted Date: 2023-02-10
Accepted Date: 2023-02-10
Published Date: 2023-02-14

How to Cite

Eka Artha Putra, I. G., Dewi, L. J. E. ., & Sunarya, I. M. G. . (2023). Information Technology Governance Audit Using COBIT 5 Framework in the Natural Resources Conservation Office. Journal of Computer Networks, Architecture and High Performance Computing, 5(1), 210-219. https://doi.org/10.47709/cnahpc.v5i1.2079