Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : The Eastasouth Journal of Information System and Computer Science

The Role of Anonymous Data in Promoting Consumer Loyalty on E-commerce Platforms in Indonesia Judijanto, Loso; Achmady, Sayed; Utama, I Wayan Karang; Effendy, Femmy; Sabila, Puji Chairu
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.380

Abstract

This study investigates the role of anonymous data in driving consumer loyalty on e-commerce platforms in Indonesia. Employing a quantitative approach, data was collected from 60 respondents through a structured questionnaire using a Likert scale (1-5). Statistical analysis using SPSS version 25 reveals a significant positive relationship between anonymous data utilization and consumer loyalty. Anonymous data enables personalized recommendations and targeted promotions while maintaining consumer privacy, fostering trust and engagement. The study highlights the importance of ethical data practices in the Indonesian e-commerce landscape and provides actionable insights for businesses aiming to enhance customer retention. Limitations and future research directions are also discussed.
Trends in Digital Twin Technology for Industry 4.0: A Bibliometric Study Judijanto, Loso; Qadriah, Laila; Prabowo, Iwan Ady; Widyatmoko, Widyatmoko; Sabila, Puji Chairu
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.382

Abstract

Digital Twin (DT) technology has emerged as a critical enabler of Industry 4.0, bridging the physical and digital worlds through real-time data integration, simulation, and optimization. This study conducts a comprehensive bibliometric analysis to explore the research trends, key contributors, and thematic clusters in DT research over the past decade. The analysis reveals China's leading role in DT research, supported by strong international collaborations with the United States, Germany, and other countries. Key themes include technological enablers such as IoT, sensors, and infrastructure, as well as emerging applications in sustainability, smart cities, and energy systems. Challenges such as risks, uncertainties, and feasibility constraints remain significant barriers to DT adoption, highlighting the need for interdisciplinary collaboration and standardization efforts. The study identifies opportunities for integrating DT with technologies like blockchain and AI, as well as expanding applications in healthcare and agriculture. These findings provide valuable insights for researchers, practitioners, and policymakers to advance DT technology and its transformative potential in Industry 4.0.