Method for Estimating the Performance of Enterprise Architecture Implementation in an Upstream Petroleum Industry
Mochammad Zuliansyah1, Mohammad Ishak Desa2, Sabrina Ahmad3

1Mochammad Zuliansyah, Preparing Ph.D., Department of Information & Communication Technology, Universiti Teknikal Malaysia.
2Melaka. Mohammad Ishak Desa, Professor, Department of Intelligent Computing and Analytics, Department of Information and Communication Technology, Universiti Teknikal Malaysia.
3Melaka. Sabrina Ahmad, Associate Professor & Deputy Dean, Department of Information and Communication Technology, Universiti Teknikal Malaysia Melaka.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1868-1874 | Volume-8 Issue-6, March 2020. | Retrieval Number: E6441018520 /2020©BEIESP | DOI: 10.35940/ijrte.E6441.038620

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Abstract: Global oil prices have encouraged the development of the oil and gas industry. The passion for the revival of the oil and gas industry needs to be followed by solid steps. Efficiency is a theme in all business aspects. Enterprise Architecture (EA) is believed to be able to help realize the achievement of the company’s goal. But EA implementation is challenging. The company must provide sufficient resources to ensure the EA implementation goal is achieved. It is therefore necessary to estimate the EA implementation to detect any gaps. This research offers a method to estimate the EA in the upstream petroleum industry. The method is a combined approach of Systematic Literature Review (SLR) and structured interviews. Interviews were conducted with a modified System Usability Scale (SUS) using the perspective of effectiveness, efficiency, agility, and durability. The evaluation results concluded that the EA implementation was still below the usability threshold. This fact encourages further EA development efforts, including the selection and utilization of specific and simple EA components.
Keywords: Enterprise Architecture, Enterprise Architecture Evaluation, Structured Interview, System Usability Scale.
Scope of the Article: Advanced Computing Architectures and New Programming Models.