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All Journal Aptisi Transactions on Technopreneurship (ATT) JOT
Untung Rahardja
Eduaward Incorporation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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The Impact of Mindset and Self-Efficacy on Entrepreneurial Intentions in Indonesia Dian Indiyati; Adhi Prasetio; Fetty Poerwita Sary; Nidya Dudija; Untung Rahardja
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 3 (2026): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i3.752

Abstract

Entrepreneurship contributes to the country's economy, but the low number of entrepreneurs in Indonesia indicates the need for research on the entrepreneurial intentions of business actors. The purpose of this study examines the interaction of entrepreneurial mindset and self-efficacy with entrepreneurial intention in the context of business actors in Indonesia. Data collection was conducted by distributing questionnaires to 129 respondents, which were then further processed. carry on using SEM-Second Order. Research results show that Entrepreneurial mindset plays a significant role in shaping the self-efficacy and entrepreneurial intention of MSMEs in Indonesia. Another interesting finding in this study is that self-efficacy does not play a significant role in influencing entrepreneurial intention. This expected can contribute to knowledge that explains that in the context of MSMEs in Indonesia, the entrepreneurial intentions of MSME actors can improved with change the entrepreneurial mindset.
Inclusive AI Interaction Framework for Enhancing Happiness and Care within Orange Technology Applications Adam Faturahman; Hamdan Hamdan; Muhammad Faizal Fazri; Untung Rahardja; Adele Vallery
Journal of Orange Technology Vol. 2 No. 1 (2025): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i1.32

Abstract

This study introduces an Inclusive AI Interaction Framework designed to enhance happiness, emotional well-being, and compassionate digital care through the integration of emotion-aware algorithms, adaptive conversational models, and accessibility-centered interface design. The framework prioritizes inclusivity by addressing diverse user abilities, cultural backgrounds, and emotional states, ensuring that AI interactions remain fair, empathetic, and supportive for broad user groups, including vulnerable populations. The study aims to examine how personalized and affectively responsive AI interactions influence emotional comfort, perceived empathy, trust, satisfaction, emotional stability, and sustained engagement among diverse users. A quantitative research design was employed, using structured questionnaires, multimodal sentiment-based rating scales, and standardized World Health Organization WHO-5 well-being measures to evaluate user well-being. SEM was applied to validate the relationships among core constructs and assess the impact of inclusive AI design on affective outcomes. The analysis revealed significant positive effects of inclusively designed, emotion-sensitive AI systems on affective outcomes, including trust, satisfaction, emotional stability, and overall emotional comfort. The findings demonstrate that inclusively designed, emotion-sensitive AI systems can meaningfully elevate user well-being. This research provides empirically grounded design principles and practical insights for developing emotionally supportive, ethically aligned, and universally accessible AI solutions that contribute to more humane digital experiences.
Co-Authors Adam Faturahman Adele Vallery Adhi Prasetio Dian Indiyati Fetty Poerwita Sary Hamdan Hamdan Muhammad Faizal Fazri Nidya Dudija