Risma Haris
University Kurnia Jaya Persada

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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.
Emotion-Aware Digital Health Platforms Supporting Psychological Well-Being through Positive Computing Approaches Risma Haris; Ardi Kho; Efa Ayu Nabila; Nova Syahrani Arasid; ⁠Abdullah Arif Kamal
Journal of Orange Technology Vol. 2 No. 2 (2026): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i2.62

Abstract

The rapid advancement of digital health technologies creates new opportunities to enhance psychological well-being beyond symptom reduction. Emotion-aware systems, grounded in positive computing approaches, enable digital platforms to respond adaptively to users’ affective states and promote sustained well-being rather than merely addressing negative symptoms. This study examines the development and quantitative evaluation of an emotion-aware digital health platform designed to support psychological well-being through positive computing principles. A quantitative research design was employed to assess the effectiveness of the platform. The system integrates self-reported emotional scales and behavioral interaction data to detect users’ emotional states in real time. Psychological well-being was measured using validated instruments, including the WHO-5 Well-Being Index, administered before and after platform usage. Statistical analysis was conducted to evaluate changes in well-being indicators and emotional awareness levels. The findings demonstrate a statistically significant improvement in users’ psychological well-being, positive affect, and emotional awareness after interacting with the platform. These results provide empirical evidence that integrating emotion-awareness into digital health systems can generate measurable humanistic impact and contribute to sustainable psychological well-being through positive computing approaches.