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All Journal Technomedia Journal Aptisi Transactions on Management Journal of Computer Science and Technology Application
Sherli Triandari
Universitas Raharja
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Other

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Integrating Video Storytelling Strategies in Recent Curriculum Implementation to Enhance Social Media Audience Engagement Aswadi Jaya; Sherli Triandari; Fhia Amelia; Ramzi Zainum Ikhsan; Ariana Delhi; Nuke Puji Lestari Santoso
APTISI Transactions on Management (ATM) Vol 10 No 2 (2026): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i2.2637

Abstract

The rapid growth of social media has transformed digital communication practices and influenced recent curriculum implementation in digital learning and communication studies. Video-based content has become an important medium for delivering educational and promotional messages because it combines visual, audio, and narrative elements that enhance audience attention and emotional engagement. However, the increasing volume of social media content creates intense competition, requiring adaptive communication strategies to improve interaction effectiveness. One widely applied approach is video storytelling, which delivers messages through structured and meaningful visual narratives. This study aims to analyze the integration of video storytelling strategies in recent curriculum implementation to enhance social media audience engagement, measured through indicators such as likes, comments, shares, and watch duration. This research applies a descriptive qualitative method supported by engagement analytics through observation of video storytelling content, documentation of interaction metrics, and literature review. This study proposes a platform-adaptive storytelling framework that explains differences in engagement patterns across TikTok, Instagram, and YouTube by emphasizing narrative structure, emotional engagement, and platform suitability. The findings show that concise storytelling, emotional appeal, visual consistency, and alignment with platform characteristics significantly influence audience interaction and retention. The study concludes that integrating video storytelling strategies into recent curriculum implementation provides an effective digital communication approach for improving audience engagement and supporting adaptive learning and communication practices in contemporary social media environments.
Orchestrating Big Data and Artificial Intelligence for Adaptive Digital Business Strategy Marviola Hardini; Sheila Aulia Anjani; Sherli Triandari; Fhia Amelia; Marta Rodriguez
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/qx8e0j55

Abstract

The rapid acceleration of digital transformation has changed the way organizations formulate and implement business strategies, requiring firms to become more adaptive, data-driven, and responsive to dynamic market conditions. This study aims to examine how big data and artificial intelligence can be orchestrated as integrated strategic capabilities to support adaptive digital business strategy. Using a qualitative conceptual approach, this study applies a structured literature review and thematic synthesis to analyze previous studies related to big data capability, artificial intelligence capability, governance mechanisms, intelligent business insight, and strategic adaptability. The results show that big data functions as a strategic foundation by providing diverse information from customers, markets, operations, and digital platforms, while artificial intelligence acts as an intelligent decision engine that transforms data into predictions, recommendations, automation, and actionable business insights. The findings also indicate that governance and human decision-making are essential in ensuring that the use of big data and AI remains reliable, transparent, accountable, secure, and aligned with organizational objectives. This study concludes that adaptive digital business strategy emerges from the continuous orchestration of data resources, AI systems, governance structures, human judgment, and strategic execution. The proposed framework contributes to digital business literature by explaining how AI-driven big data orchestration can improve decision quality, agility, competitiveness, innovation, operational efficiency, and sustainable digital value creation. In addition, the discussion is expanded to include cybersecurity, data privacy, secure data processing, and AI risk management as critical enablers of large-scale data-driven business systems.
Leveraging Artificial Intelligence Technology to Drive Product Innovation in Digital Business Development Risma Haris; Sheila Aulia Anjani; Sherli Triandari; Mitra Trima Dessincer Putri; Murphy Mutie
Technomedia Journal Vol 11 No 1 (2026): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v11i1.2690

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed digital businesses by enabling continuous product innovation to sustain competitiveness. This study aims to analyze the role of AI in driving product innovation and supporting digital business development. A quantitative explanatory approach was employed using a survey research design. Primary data were collected from business practitioners and organizational decision-makers who have implemented digital technologies and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings indicate that AI significantly enhances product innovation through predictive analytics, machine learning, and intelligent automation, enabling organizations to better understand customer needs, accelerate product development, and improve service quality. Furthermore, AI contributes to greater operational efficiency, stronger competitive advantages, and the development of more adaptive business models. In conclusion, AI serves as a strategic enabler of product innovation and digital business competitiveness, emphasizing the importance of integrating AI into long-term innovation strategies and digital transformation initiatives to achieve sustainable business growth.
Co-Authors Ariana Delhi Aswadi Jaya Fhia Amelia Marta Rodriguez Marviola Hardini Mitra Trima Dessincer Putri Murphy Mutie Nuke Puji Lestari Santoso Ramzi Zainum Ikhsan Risma Haris Sheila Aulia Anjani