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All Journal Aptisi Transactions on Technopreneurship (ATT) Journal of Computer Science and Technology Application
Asti Veto Mortini
Universitas Negeri Semarang
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

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Optimizing Employee Performance and Sustainability with Big Data and AI in Hospitality Asti Veto Mortini; Sri Wuli Fitriati; Rahayu Puji Haryanti; Sri Wahyuni; Marta Rodriguez
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.138

Abstract

This study explores the impact of Big Data and Artificial Intelligence (AI) on Employee Performance and Sustainability in the hospitality industry. By integrating Big Data and AI, hospitality businesses can optimize operations, enhance employee efficiency, and promote sustainable practices. The research uses SmartPLS to analyze the relationships between these variables, with a focus on how Big Data and AI influence Employee Performance, which in turn contributes to Sustainability efforts. The results show that both Big Data and AI have significant positive effects on Employee Performance, with Big Data demonstrating a stronger impact. Moreover, Employee Performance mediates the relationship between Big Data, AI, and Sustainability, indicating that improvements in employee performance lead to better sustainability outcomes, such as resource optimization and waste reduction. The study’s findings align with SDG 8 (Decent Work and Economic Growth) and SDG 12 (Responsible Consumption and Production), highlighting the potential of technology to drive both economic and environmental sustainability in the hospitality sector. This research contributes to understanding how the application of Big Data and AI can help hospitality businesses achieve long-term success through improved operational efficiency and sustainable practices
Theme-Based Edupreneurship Model for Reading Achievement and Learner Autonomy Asti Veto Mortini; Sri Wuli Fitriati; Rahayu Puji Haryanti; Sri Wahyuni; Juan Carlos Rodriguez
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.v8i3.717

Abstract

This study examines the effectiveness of a Theme-Based Learning Model within an edupreneurship framework to improve students’ reading achievement and learning independence. A mixed-method triangulation design was applied, combining quantitative data from pre- and post-tests and questionnaires with qualitative insights from student interviews. The participants were third-semester English education students categorized into four VARK learning styles: visual, auditory, reading/writing, and kinesthetic. Results indicate that all learning style groups experienced an improvement in reading achievement after the implementation of theme-based learning. Auditory and visual learners showed the most significant progress, while kinesthetic learners demonstrated moderate improvement. Questionnaire and interview findings further reveal that the model promotes learning independence, with visual learners exhibiting the highest level of autonomous learning behaviors. The integration of thematic content made learning more engaging and contextual, allowing students to connect reading activities with real-world scenarios, fostering critical thinking and creativity two essential competencies in edupreneurship. The study concludes that the Theme-Based Learning Model serves as an effective instructional approach that simultaneously enhances academic performance and cultivates independent learning. These findings provide valuable insights for educators and curriculum designers in integrating reading instruction with entrepreneurial oriented learning practices. The model is recommended for broader implementation across courses or institutions, as it aligns with 21st-century education goals by supporting student-centered learning, innovation, and lifelong learning.
Co-Authors Juan Carlos Rodriguez Marta Rodriguez Rahayu Puji Haryanti Sri Wuli Fitriati Wahyuni, Sri