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Applying TOGAF ADM for Developing an IT-Based Hedge Fund Fawwazie, Muhammad Hilmy Haidar; Pradana, Firmansyah Putra; Pakaja, Fachrudin
International Journal of Information Systems and Technology Vol. 1 No. 03 (2025): International Journal of Information System and Technology (IJOINT)
Publisher : oneamrd (One a Mllions Dreams Corporation)

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Abstract

This abstract describes the conceptual design of an enterprise architecture for a hedge fund. Sigma Investment Technologies faces operational challenges and the need for data-driven investment strategies alongside diversification into supporting services. The research objective is to design an enterprise architecture (EA) for Sigma Investment Technologies using TOGAF. A qualitative method with a conceptual case study approach is employed, based on requirements analysis from the business owner and industry best practices. The application of TOGAF resulted in a conceptual enterprise architecture design. This design demonstrates TOGAF's capability to map business elements structurally, covering core processes (such as R&D strategy, live trading, market research, and HPC for simulation) and supporting business processes. This EA design is expected to support decision-making, coordination, efficiency, risk management, and new monetization. It is concluded that this EA design provides a conceptual foundation for system development for modern hybrid hedge funds and can serve as a reference for the financial services industry, with the actual benefits anticipated upon full implementation.
Hybrid Human AI SDLC for Rapid SaaS Development: Evidence from a 60 Days Case Study Fawwazie, Muhammad Hilmy Haidar; Daud, Nathan; Muhammad Iqbal Rabani; Supriyanto, Budi Fajar
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34361

Abstract

There is a vacuum in the risk of architectural changes in critical systems because macro-architectural governance in AI-based software development is frequently ignored in current scholarly debate. The purpose of this study is to assess how well the Visualize, Integrate, Build, Execute (VIBE) architecture addresses the stability-speed contradiction in SaaS development. This study triangulated data from 465 automated CI/CD pipeline logs, 124 AI instruction tactic documentation records, and 42 test cases using comparative performance analysis and process tracking using an explanatory mixed-methods case study methodology on a stock market analytics platform. The study's key conclusions show a 50% boost in development efficiency, reducing a 60-day cycle to 30 days while preserving system reliability with an average latency of 1.2 seconds and a 99.9 percent availability rate. Specialist synergy was identified where humans became the primary cognitive players in architectural design at 90 percent, and AI as the executor of basic syntax at 85 percent. The research concludes that the architectural anchoring mechanism by humans is crucial for mitigating the risks of non-deterministic AI outputs. Theoretically, this study introduces the concept of human-AI cognitive alignment, while practically providing a validated roadmap for modernization of sensitive infrastructure such as Electronic Medical Records.