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Data Driven UI Colour Selection for Enhanced User Engagement Sandy Setiawan; Titih Nursugiharti; Fitra Putri Oganda; Henry Zainarthur
Blockchain Frontier Technology Vol. 6 No. 1 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/b-front.v6i1.1057

Abstract

This study highlights the importance of color selection in user interface (UI) design, as it can influence users’ perceptions, emotional responses, and levels of engagement. Many applications still rely on designers’ intuition without strong empirical evidence. The objective of this research is to develop a data-driven framework for UI color selection that can measurably enhance user engagement and satisfaction. The method involves collecting a large dataset of color schemes from various popular applications, followed by preprocessing steps such as normalization, clustering, and analysis of the relationships between colors and emotional responses. In addition, user interaction metrics and engagement data are analyzed to evaluate the impact of specific color combinations. The results show that certain color palettes consistently generate higher levels of engagement, with specific hues and contrast levels improving users’ attention and effectiveness in completing tasks. The analysis also identifies patterns that can serve as guidelines for designers in selecting colors that balance aesthetic appeal and functional performance. The conclusion of this study is that adopting a data-driven approach to UI color selection leads to a significant improvement in user engagement, while also providing practical guidance for designers and developers to optimize digital interface experiences.
Enhancing Customer Experience and Business Innovation through Digital Platforms in Southeast Asia Palma Juanta; Sandy Setiawan; Hetilaniar; Brigitta Callula
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i2.2599

Abstract

The rapid expansion of digital platforms across Southeast Asia has accelerated the emergence of interconnected digital ecosystems that integrate multiple services, partners, and data-driven interactions, fundamentally reshaping customer expectations and competitive dynamics in the region. This study aims to examine how ecosystem oriented digital platforms enhance customer experience and foster business model innovation by analyzing the influence of ecosystem capabilities, service integration, and value co-creation. Using a quantitative approach, data were collected from 378 active users of digital platforms across Indonesia, Malaysia, Vietnam, Thailand, and the Philippines, and analyzed using Structural Equation Modeling with Partial Least Squares (SEM–PLS) to evaluate relationships among key variables. The findings indicate that strong ecosystem capabilities significantly improve customer experience through seamless integration, personalization, and multi-stakeholder collaboration, while customer experience also mediates the relationship between ecosystem capabilities and business model innovation. Furthermore, ecosystem oriented platforms demonstrate greater agility and value creation potential compared to single-service platforms. These results underscore the strategic importance of digital ecosystems in driving superior customer experience and enabling sustainable business model innovation in Southeast Asia, offering valuable implications for digital firms, startups, and policymakers to strengthen regional digital transformation.
Transforming Human Resource Practices in the Digital Age: A Study on Workforce Resilience and Innovation Sandy Setiawan; Umi Rusilowati; Aswadi Jaya; Hetilaniar; Rion Wang
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.80

Abstract

The rapid advancement of digital technologies has significantly transformed human resource (HR) practices, influencing workforce resilience and organizational innovation. As organizations navigate evolving work environments, the integration of technology-driven HR strategies has become essential for maintaining competitiveness. Traditional HR models are being replaced by more automated and data-driven systems, shaping the future of workforce management. This study aims to examine the intersection of HR practices and digital transformation, with a particular focus on how digital tools enhance workforce resilience and foster organizational innovation. It explores the role of AI-driven talent management systems, data-driven decision-making, and adaptive HR strategies in optimizing recruitment, performance evaluation, and employee engagement. A mixed-method approach was employed, combining qualitative and quantitative analyses. Data was collected through a systematic literature review, multiple case studies, and in-depth interviews with HR professionals across various industries. These methods provided comprehensive insights into the evolving landscape of digital HR practices. The findings highlight the critical role of continuous learning, agile work structures, and active employee engagement in fostering a resilient workforce. The adoption of AI-powered HR tools has proven effective in improving decision-making, employee retention, and performance management, ultimately leading to greater organizational adaptability and innovation. This study concludes that digital transformation in HR is not merely an operational shift but a strategic necessity. By successfully integrating digital tools, businesses can create a more flexible, agile, and responsive work environment, fostering long-term growth and sustainability in an increasingly competitive market.