Analisa Tata Kelola Informasi dan Manajemen Data Terhadap Implementasi AI Menggunakan COBIT 2019 (Studi Kasus PT XYZ)

Visoka, Adib Muhammad (2025) Analisa Tata Kelola Informasi dan Manajemen Data Terhadap Implementasi AI Menggunakan COBIT 2019 (Studi Kasus PT XYZ). Masters thesis, Institut Teknologi Sepuluh November.

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Abstract

PT XYZ merupakan perusahaan yang bergerak di bidang penyedia jasa internet dan jaringan telekomunikasi. Dalam mengelola layanan dan infrastruktur jaringan, PT XYZ memiliki fasilitas Integrated Operation Center yang mengelola seluruh alat produksi secara 24/7 tanpa henti. Dalam perkembangannya PT XYZ memanfaatkan AI untuk mempercepat proses bisnis dan memastikan pengelolaan informasi semakin efisien. Untuk mencapai hal tersebut tentunya dibutuhkan tata kelola yang baik pada manajemen data dan informasi. Pada penelitian ini, COBIT 2019 sebagai kerangka kerja tata kelola yang sudah teruji dan merupakan salah satu best practice digunakan dalam mengidentifikasi dan mengalisa kebutuhan tata kelola di PT XYZ. COBIT 2019 memiliki mekanisme pengukuran capability level dengan menggunakan standar Capability Maturity Model Integration (CMMI) yang dapat memberikan penilaian terhadap manajemen yang ada. Melalui metode faktor desain terpilih tujuh objective COBIT 2019 yakni EDM03 (Ensured Risk Optimization), APO12 (Managed Risk), APO13 (Managed Security), BAI10 (Managed Configuration), DSS04 (Managed Continuity), DSS05 (Managed Security Services), MEA03 (Managed Compliance with External Requirements). Hasil penelitian berupa langkah perbaikan dan rekomendasi tata kelola pada setiap objective terpilih untuk mencapai target state yang diharapkan oleh stakeholder. Berdasarkan hasil yang didapat keseluruhan objective terpilih memiliki penilaian capability level 2 (managed). Target capability level yang diharapkan yaitu level 5 (optimizing), maka perlu dilakukan langkah-langkah perbaikan yang telah disusun berdasarkan rekomendasi dan best practice. Rekomendasi dari kerangka kerja COBIT 2019, dalam rangka mengimplementasikan AI pada proses bisnis yang ada, PT XYZ perlu memprioritaskan langkah pengelolaan risiko, pengelolaan keamanan data dan infrastruktur TI, serta kepatuhan terhadap aturan/regulasi sehingga penggunaan AI dapat sesuai dengan rencana, aman, efektif dan efisien.
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PT XYZ is a company engaged in providing internet services and telecommunication networks. In managing its network services and infrastructure, PT XYZ operates an Integrated Operation Center that monitors all production tools continuously on a 24/7 basis. As part of its development, PT XYZ is leveraging Artificial Intelligence (AI) to accelerate business processes and to ensure more efficient information management. To achieve these goals, effective governance of data and information management is essential. This study uses COBIT 2019, a proven and widely recognized governance framework, to identify and analyze the necessary governance requirements at PT XYZ. COBIT 2019 includes a capability level assessment mechanism based on the Capability Maturity Model Integration (CMMI), which enables the evaluation of existing management practices. Using the design factors method, seven objectives from COBIT 2019 were selected such as EDM03 (Ensured Risk Optimization), APO12 (Managed Risk), APO13 (Managed Security), BAI10 (Managed Configuration), DSS04 (Managed Continuity), DSS05 (Managed Security Services), and MEA03 (Managed Compliance with External Requirements). The results of this study include improvement steps and governance recommendations for each selected objective to reach the target state expected by stakeholders. The current assessment shows that all selected objectives are at capability level 2 (Managed), while the desired target is level 5 (Optimizing). Therefore, improvement measures based on the proposed recommendations and best practices are required. In line with COBIT 2019 framework recommendations, in order to successfully implement AI within existing business processes, PT XYZ must prioritize risk management, data and IT infrastructure security, as well as compliance with rules/regulations, so that the AI adoption is aligned with the plan, safe, effective, and efficient.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	COBIT 2019, Tata Kelola, Teknologi Informasi, Manajemen Data, Manajemen Risiko, Artificial Intelligence,
Subjects:	T Technology > T Technology (General) > T58.5 Information technology. IT--Auditing
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Adib Muhammad Visoka
Date Deposited:	04 Aug 2025 12:16
Last Modified:	04 Aug 2025 12:16
URI:	http://repository.its.ac.id/id/eprint/127125

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