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All Journal Equivalent: Jurnal Ilmiah Sosial Teknik Glosains: Jurnal Sains Global Indonesia
Muhammad Rif’an
Universitas Terbuka
Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Enterprise Architecture Design for Class Approval and Scheduling Governance (Permission Planning) at Universitas Terbuka Muhammad Rif’an; Iwan Susanto; Iswaya Maalik; Zakirman Zakirman; Erika Pradana
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.287

Abstract

Background: Large open and distance universities must plan classes under high enrolment volatility, limited teaching capacity, and strict accountability. At Universitas Terbuka (UT), class permission planning is still carried out through fragmented tools such as spreadsheets and email-based coordination. The process becomes slow during peak periods, decisions are hard to trace, and policy rules are applied inconsistently across units. Objective: This study aims to design an academic management solution that makes class permission decisions faster and more explainable while remaining scalable for a mega-university context. Methods: A design science approach was used. The TOGAF Architecture Development Method (ADM) was adapted to produce as-is and to-be business workflows, a unified information model, and modular application and technology architectures. Requirements were collected through observation, document review, and semi-structured interviews with stakeholders from academic administration, academic units, and IT services. Results: A functional prototype (SIMPATIK) was then developed and validated through usability walkthroughs with 40 participants. Mean ratings across five indicators ranged from 4.25 to 4.55 (five-point scale), indicating strong perceived clarity, ease of use, and transparency decision. The findings suggest that an enterprise-architecture-based design can reduce manual bottlenecks and strengthen accountability for class permission planning in open and distance education. The proposed design embeds policy checks at the point of request, routes only exceptional cases to administrators, and records machine-readable explanations and audit trails for every decision. A microservice-based deployment model is specified, supported by an RDBMS cluster, cache/message queue, and observability stack to handle enrolment spikes. Conclusion: These artifacts provide a reusable blueprint for institutions facing similar scale and governance constraints.
Artificial Intelligence-Based Analysis of Consistency–Latency Trade-off in Online Examination Answer Synchronization Using RabbitMQ and PostgreSQL Clusters Muhammad Rif’an; Musyahid Abror; Deni Rudiana; Suparman Suparman
Glosains: Jurnal Sains Global Indonesia Vol. 7 No. 4 (2026): Glosains: Jurnal Sains Global Indonesia
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/glosains.v7i4.855

Abstract

Background: Large-scale online examination systems require fast, reliable, and consistent answer storage. Directly writing all answers to the primary database may provide low latency under simple workloads but can create bottlenecks as concurrent transactions increase. Objective: This study analyzes the trade-off between consistency and latency in synchronizing online examination answers using RabbitMQ and PostgreSQL clusters and evaluates artificial intelligence for classifying system conditions. Methods: An experimental quantitative approach was employed by comparing direct-write and asynchronous synchronization scenarios, variations in consumer numbers, consumer failures, and duplicate and out-of-order messages. The evaluated metrics included storage latency, synchronization delay, queue backlog, final answer correctness, and Random Forest classification performance. Results: Direct writing produced lower latency in the VM/laboratory environment, whereas asynchronous synchronization offered better buffering and recovery capabilities. Five consumers maintained low synchronization delays in the 10,000-request scenario. During consumer failure, RabbitMQ retained 5,000 messages and successfully reprocessed them after recovery. The idempotent upsert mechanism maintained final answer correctness when handling duplicate and out-of-order messages. The Random Forest model achieved 77.63% accuracy and a 77.78% F1-score in classifying system conditions. Conclusion: Integrating RabbitMQ, PostgreSQL, idempotency mechanisms, and artificial intelligence can improve the reliability and resilience of large-scale online examination infrastructure while balancing synchronization consistency and latency.
Co-Authors Deni Rudiana Erika Pradana Iswaya Maalik Iwan Susanto Musyahid Abror Suparman Suparman Zakirman