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All Journal Eduvest - Journal of Universal Studies Jurnal Ekonomi, Teknologi dan Bisnis
Novia Angelina Zuraidy
RMIT University, Melbourne VIC 3000
Aerospace Engineering Astronomy Computer Science & IT Economics, Econometrics & Finance Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Neuroscience Social Sciences

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Soul Map Atlas: A Design-Science Framework Integrating Bazi, Numerology, Human Design, and Javanese Primbon with AI-Supported Self-Reflection in the Age of Digital Confession Novia Angelina Zuraidy
Eduvest - Journal of Universal Studies Vol. 6 No. 7 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i7.53400

Abstract

Individuals are increasingly disclosing emotional struggles to AI chatbots, yet current systems remain largely reactive and lack the narrative structure needed to support long-term identity clarity, particularly amid growing identity fragmentation in hyperconnected digital environments. In response to this gap, the present study aims to design and evaluate an AI-augmented, birth-based identity framework called Soul Map Atlas, which integrates BaZi, Numerology, Human Design, and Javanese Primbon with adaptive AI reflection to transform unstructured emotional disclosure into coherent, lifelong self-reflection. Following a Design Science Research approach, the study derives its design principles from a synthesis of identity theory, AI-mediated disclosure literature, and symbolic-system scholarship, articulates a Context–Agency–Mechanism–Outcome (CAMO) framework, and designs a three-module artefact consisting of Birth Essence, Symbolic Integration Engine, and AI Reflection Module. The prototype is evaluated qualitatively through a two- to three-week interaction phase followed by 30-minute interviews, with the resulting data analysed using thematic, cross-case, and convergence analysis. The findings show that participants experienced combining stable, culturally grounded symbolic anchors with psychologically safe, non-deterministic AI dialogue as supportive of interpretive resonance, emotional safety, and a stronger sense of narrative continuity, although birth-time uncertainty and the absence of expert review remain limitations of the study. Overall, Soul Map Atlas offers a new category of AI–symbolic reflective artefact with implications for life coaching, digital wellbeing tools, and culturally inclusive identity support, and it warrants further longitudinal and expert-reviewed evaluation.
Simplifying Digital Transformation: The Predict–Simulate–Logistics–Execute Governance (PSLE-G) Framework for Operational Decision-Making Novia Angelina Zuraidy
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 8 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/3y62sf41

Abstract

Digital transformation has become a critical strategic priority for organizations seeking to enhance operational performance, decision-making efficiency, and competitiveness in an increasingly complex business environment. However, despite the rapid adoption of technologies such as artificial intelligence (AI), predictive analytics, automation, and digital platforms, many organizations continue to face challenges in translating digital insights into actionable operational decisions because of fragmented processes, limited employee understanding, and inadequate governance mechanisms. This study aimed to develop the Predict–Simulate–Logistics–Execute Governance (PSLE-G) Framework as a conceptual model for simplifying digital transformation and improving operational decision-making. The study employed a conceptual research approach supported by a systematic literature review of previous studies on digital transformation, operational decision-making, supply chain management, decision intelligence, digital twins, and organizational governance. The literature synthesis indicated that existing frameworks primarily emphasize technological capabilities, optimization functions, and analytical support while providing limited guidance on how employees can systematically translate digital information into coordinated operational decisions. The proposed PSLE-G Framework integrates four interconnected stages—Predict, Simulate, Logistics, and Execute—supported by governance and continuous learning mechanisms. The framework contributes to bridging the gap between digital technologies and day-to-day operational practices by providing a structured approach that may enhance decision consistency, employee adaptability, cross-functional collaboration, and organizational resilience. The study concludes that the PSLE-G Framework provides a practical conceptual foundation for organizations navigating digital transformation and establishes opportunities for future empirical validation across different industries and organizational contexts.
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