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All Journal Aptisi Transactions on Technopreneurship (ATT) Journal of Computer Science and Technology Application
Dhiyah Ayu Rini Kusumawardhani
University of Raharja
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

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The Influence of Digital Artificial Intelligence Technology on Quality of Life with a Global Perspective Sandy Kosasi; Chandra Lukita; Mochamad Heru Riza Chakim; Adam Faturahman; Dhiyah Ayu Rini Kusumawardhani
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 3 (2023): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i3.354

Abstract

The rapid development of digital technology and artificial intelligence (AI) has brought significant changes in many areas of life, including business, healthcare, education, and entertainment. The great potential of AI technologies to provide positive benefits to society is balanced with concerns about their negative impact on quality of life. This study aims to explore the influence of digital AI technology on the overall quality of life around the world, focusing on the Performance Expectancy, Effort Expectancy, and Use Behavior aspects of digital AI technology. This research method utilizes the UTAUT (Unified Theory of Acceptance and Use of Technology) approach and collects data quantitatively through a questionnaire covering 3 variables related to digital AI technology and its influence on quality of life. Data analysis was conducted using PLS-SEM (Partial Least Squares - Structural Equation Modeling) to identify important aspects related to the advantages and disadvantages of AI technology. The results from the 70 respondents indicated that digital AI technologies have the potential to improve quality of life by meeting performance expectations and providing ease of use, and a balanced approach is needed in the development and implementation of AI technologies to maximize their positive impact while minimizing their negative impact.
Big Data Analytics: Transforming Business Intelligence and Decision Making Wendi Usino; Dhiyah Ayu Rini Kusumawardhani; Tarisya Ramadhan; Aptanta Pratiangga; Olivia Qurotulain
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/2wf1s376

Abstract

In today's rapidly evolving digital landscape, organizations are increasingly leveraging Big Data Analytics to transform business intelligence and enhance decision-making processes. This study explores how businesses utilize Big Data to gain insights into operations, customer behaviors, and market trends, specifically focusing on the retail, healthcare, and financial sectors. By employing a mixed-method approach that combines qualitative and quantitative data, the research analyzes case studies from a major international retailer, a leading healthcare provider, and a global bank. Data sources include semi-structured interviews with industry experts, surveys, and secondary data from existing literature. The findings indicate significant improvements in customer retention (20\%), operational efficiency (with a 15\% reduction in inventory costs in retail and a 10\% reduction in hospitalization rates in healthcare), and fraud reduction (a 25\% decrease in fraudulent transactions in financial services). However, the study also identifies ongoing challenges such as data quality issues, high implementation costs, and complexities in integrating Big Data Analytics with existing systems. The research concludes by emphasizing the importance of addressing these challenges to fully capitalize on Big Data's potential for competitive advantage and suggests that future studies should explore the ethical implications and the impact of emerging technologies on Big Data Analytics to further enhance its effectiveness in business intelligence.
Co-Authors Adam Faturahman Aptanta Pratiangga Chandra Lukita Mochamad Heru Riza Chakim Olivia Qurotulain Sandy Kosasi Tarisya Ramadhan Wendi Usino