Ontological Mapping Cobit 2019 Pada Penilaian Kesehatan Bank Di Indonesia

  • Jangkung Tri Nygroho universitas amikom yogyakarta
  • Alva Hendi Muhammad Universitas Amikom Yogyakarta
  • Anggit Dwi Hartanto Universitas Amikom Yogyakarta

Abstract

Penelitian ini bertujuan untuk melakukan pemetaan COBIT 2019 dengan Kebijakan Penilaian Tingkat Kesehatan Bank di Indonesia menggunakan teknik ontological mapping. Dengan mengadopsi bahasa ArchiMate, penelitian ini menganalisis dan menggambarkan hubungan antara konsep-konsep dalam COBIT 2019 dan faktor-faktor penilaian tingkat kesehatan bank. Metode analisis yang digunakan mencakup identifikasi tujuan dalam domain COBIT, pemetaan faktor penilaian TKB, dan pembuatan model COBIT 2019 dengan faktor penilaian TKB. Hasil penelitian menunjukkan bahwa beberapa domain COBIT 2019  memiliki relasi yang dengan faktor-faktor penilaian TKB, termasuk profil risiko, GCG, earning, dan capital. Kesimpulan dari penelitian ini memperkuat pemahaman mengenai keterkaitan antara kerangka kerja tata kelola TI (COBIT 2019) dan praktik penilaian tingkat kesehatan bank di Indonesia.

References

Almeida, R., Gonçalves, P. A., Percheiro, I., Da Silva, M. M., & Pardo, C. (2020). Integrating COBIT 5 PAM and TIPA for ITIL using an ontology matching system. International Journal of Human Capital and Information Technology Professionals, 11(3), 74–93. https://doi.org/10.4018/IJHCITP.2020070105
Almeida, R., Linares Pinto, P., & Mira Da Silva, M. (2016). Using ArchiMate to Assess COBIT 5 and ITIL Implementations. International Conference On Information Systems Development.
ArchiMate ® 3.1 Specification. (2012). www.opengroup.org/legal.
Bakhshandeh, M., Torres, P. M., Quaresma, D., Pereira, F. M., Brito, C., Doctor, A., Moreira, P. M., & Antunes De Sousa, V. (2016). Ontology-driven Analysis of Enterprise Architecture Models.
BANK INDONESIA. (2011). Peraturan Bank Indonesia Nomor: 13/ 1 /Pbi/2011 Tentang Penilaian Tingkat Kesehatan Bank Umum. Peraturan Bank Indonesia Nomor: 13/ 1 /PBI/2011.
El Idrissi, B., Tetou, C., & Doumi, K. (2022). On The Formalization of The TOGAF Content MetaModel Using Ontologies. 2022 International Conference on Intelligent Systems and Computer Vision, ISCV 2022. https://doi.org/10.1109/ISCV54655.2022.9806063
ISACA. (2019). COBIT 2019 Framework: Introduction and Methodology. ISACA.
Koyama, S., Tsuji, Y., Masuda, R., Onoda, H., Ono, H., Natsuyama, M., Endo, T., Iwasa, K., & Yamamoto, S. (2023). A Technique to Integrate Service Business Models with ArchiMate. Procedia Computer Science, 219, 479–485. https://doi.org/10.1016/j.procs.2023.01.315
Maramis, P. A. (2019). ANALISIS TINGKAT Kesehatan Bank Dengan Metode Rgec (Risk Profile, Good Corporate Governance, Earning, Capital) Pada Pt. Bank Mandiri (Persero) Periode 2015 - 2018. Jurnal Pembanguan Ekonomi Dan Keuangan Daerah, 20(4).
Margarida, A., & Silva, F. (2015). Using Ontologies for Enterprise Architecture and COBIT 5 analysis.
Moudoubah, L., Yamami, A. El, Mansouri, K., & Qbadou, M. (2021). From IT service management to IT service governance: An ontological approach for integrated use of ITIL and COBIT frameworks. International Journal of Electrical and Computer Engineering, 11(6), 5292–5300. https://doi.org/10.11591/ijece.v11i6.pp5292-5300
OTORITAS JASA KEUANGAN. (2016a). POJK PENERAPAN MANAJEMEN RISIKO BAGI BANK UMUM.
OTORITAS JASA KEUANGAN. (2016b). POJK Tentang Penilaian Tingkat Kesehatan Bank Umum.
OTORITAS JASA KEUANGAN. (2020). POJK Pelaporan Bank Umum Konvensional Melalui Sistem Pelaporan Otoritas Jasa Keuangan.
OTORITAS JASA KEUANGAN. (2022). POJK Kewajiban Penyediaan Modal Minimum Bank Umum.
OTORITAS JASA KEUANGAN. (2023). Pojk Penerapan Tata Kelola Bagi Bank Umum.
Pankowska, M. (2019). Business Models in CMMN, DMN and ArchiMate language. Procedia Computer Science, 164, 11–18. https://doi.org/10.1016/j.procs.2019.12.148
Prince Sales, T., Andrade Almeida, J. P., Santini, S., Baiao, F., & Guizzardi, G. (2018). Ontological analysis and redesign of risk modeling in archimate. Proceedings - 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018, 154–163. https://doi.org/10.1109/EDOC.2018.00028
Rod, M. (2020). Coping with Change-Specialization and Interoperability of ArchiMate Language. HATCTA, 1(2761). https://orcid.org/0000-0003-3336-265X
Salatino, A. A., Thanapalasingam, T., Mannocci, A., Birukou, A., Osborne, F., & Motta, E. (2020). The computer science ontology: A comprehensive automatically-generated taxonomy of research areas. Data Intelligence, 2(3), 379–416. https://doi.org/10.1162/dint_a_00055
Yonglin, L., Zhi, Z., & Qun, L. (2020). An ontological metamodeling framework for semantic simulation model engineering. Journal of Systems Engineering and Electronics, 31(3), 527–538. https://doi.org/10.23919/JSEE.2020.000032
Published
2023-11-21
Abstract viewed = 10 times
PDF downloaded = 11 times