https://tecnoscientifica.com/journal/gisa <p><strong><em>Green Intelligent Systems and Applications (Green Intell. Syst. Appl.) (ISSN 2809-1116) </em></strong><strong> </strong>with a short form of <strong>GISA </strong>is an<strong> Open Access Refereed Journal </strong>that publishes <strong>research articles, reviews, and short communication </strong>on all aspects of green technologies and intelligent systems.</p> <p><strong>GISA </strong>is published online with a frequency of two (2) issues per year in <strong>October and April </strong>with <strong>FREE </strong>of Article Processing Charge (APCs) and Articles Submission Charges (ASCs). Besides that, special issues of GISA will be published non-periodically from time to time. </p> en-US <p>Authors shall retain the copyright of their work and grant the Journal/Publisher rights for the first publication with the work concurrently licensed under the <a href="https://creativecommons.org/licenses/by/4.0/"><strong>Creative Commons Attribution 4.0 International License (CC BY 4.0)</strong></a>.</p> <p>Under this license, authors who submit their papers for publication by <em>Green Intelligent Systems and Applications</em><em> </em>agree to have the CC BY 4.0 license applied to their work, and that anyone is allowed to reuse the article or part of it free of charge for any purpose, including commercial use. As long as the author and original source is properly cited, anyone may copy, redistribute, reuse and transform the content.</p> <p>This broad license intends to facilitate free access, as well as the unrestricted use of original works of all types. This ensures that the published work is freely and openly available in perpetuity.</p> gisa@tecnoscientifica.com (Editorial Office - Green Intelligent Systems and Applications) it-support@tecnoscientifica.com (Tecno Scientifica Support) Wed, 11 Feb 2026 06:29:08 +0000 OJS 3.3.0.6 http://blogs.law.harvard.edu/tech/rss 60 https://tecnoscientifica.com/journal/gisa/article/view/963 <p>Digital transformation in the multi-finance sector demands service architectures that are flexible, reliable, and scalable; however, misalignment between architectural design and operational execution often leads to weak service performance. This study proposes an integrated framework that combines TOGAF 10 artifacts with ISO/IEC 20000-1:2018 processes to systematically estimate Service Level Agreement (SLA) targets and reduce Mean Time to Repair (MTTR). Using a Design Science Research approach, the framework was implemented in a 14-month case study at PT XYZ Multi-finance. The resulting artifacts include a bidirectional traceability model linking business objectives to SLA and MTTR indicators, as well as an operability pattern catalog to support “design for operability.” The implementation delivered measurable operational improvements: MTTR decreased from a peak of 775 minutes to below 60 minutes, Mean Time to Detect (MTTD) was reduced by approximately 90%, SLA compliance increased to 99.7%, and incidents caused by manual configuration errors declined. These results demonstrate that integrating enterprise architecture design with service management processes can significantly improve service reliability and overall operational performance.</p> Bagus Resa Destian, Panca Dewi Pamungkasari Copyright (c) 2026 Bagus Resa Destian, Panca Dewi Pamungkasari https://creativecommons.org/licenses/by/4.0 https://tecnoscientifica.com/journal/gisa/article/view/963 Wed, 11 Feb 2026 00:00:00 +0000