Claim Missing Document
Check
Articles

Found 5 Documents
Search

Optimizing Data Capture and Storage for Research Data Management: A Study on Cloud Computing Solutions in Academic Institutions Karin, Juliana
International Journal of Research and Applied Technology (INJURATECH) Vol. 3 No. 2 (2023): International Journal of Research and Applied Technology (INJURATECH)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increasing volume of research data generated by academic institutions necessitates effective data management strategies to ensure data accessibility, security, and long-term preservation. This study explores the optimization of data capture and storage for research data management, focusing on cloud computing solutions within academic settings. A systematic literature review was conducted, examining studies from the past five years sourced from reputable databases such as IEEE, Springer, and Elsevier. Thematic analysis was employed to identify key trends, challenges, and best practices related to data management, cloud technologies, and storage optimization. The results of a bibliometric analysis indicated a significant upward trend in publications addressing Data Management, Cloud Computing, and Research Data Storage between 2009 and 2023, with a notable peak in 2023. Findings revealed that while cloud computing platforms offer significant advantages—such as scalability, cost-efficiency, and enhanced collaboration—challenges related to data standardization, security, and interoperability persist. Furthermore, the study highlights the growing importance of automated data capture techniques and metadata tagging in managing large datasets. Despite the transformative potential of cloud-based solutions, optimization efforts remain necessary to fully realize their benefits for research purposes. This research underscores the need for future empirical studies to test cloud solutions in real-world academic contexts and develop standardized, secure, and efficient practices for research data management. Optimizing cloud computing solutions is crucial for enabling academic institutions to meet the demands of the evolving digital research environment
DREAM: Design of Higher Education Curriculum Based on Spiritual Values Luckyardi, Senny; Maulana, Hanhan; Prakoso, Bagus Hary; Widaryanto, Benny; Albar, Chepi Nur; Munawaroh, Silvi; Karin, Juliana
Jurnal Pendidikan Islam ARTICLE IN PRESS
Publisher : The Faculty of Tarbiyah and Teacher Training associated with PSPII

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aimed to develop an alternative curriculum design to meet the increasing demand for high-quality graduates in today’s dynamic economy. This research used a mixed-method approach for data collection and analysis to ensure comprehensive, reliable, and objective findings. The results highlighted a growing need to cultivate strong leadership traits, emphasizing the development of holistic and spiritual leadership that integrates ethics, decision-making, and practical actions. Individuals with prophetic leadership qualities were found to be highly dependable due to their strong sense of responsibility, spiritual grounding, and ability to make wise decisions based on available resources. In response, the DREAM curriculum was designed to nurture graduates with these attributes, equipping them to meet the evolving needs of modern industries. Graduates of the DREAM curriculum are expected to excel not only in hard and soft skills but also as inspirational leaders who motivate others. This research is projected to have several significant impacts, including bridging the skills gap, fostering leadership character development, enhancing graduate quality, equipping students with relevant technological knowledge and expertise, and promoting a curriculum rooted in Islamic spiritual values.
User Privacy in the Age of Mobile Browsing: A Literature Review of Data Tracking and Protection Policies Karin, Juliana
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid evolution of mobile computing has transformed the smartphone into a primary gateway for internet access, simultaneously turning it into a rich source of granular personal data. This literature review examines the current landscape of user privacy within mobile browsing environments, focusing on the sophisticated mechanisms of data tracking and the efficacy of modern protection policies. As mobile browsers integrate more deeply with OS-level sensors and location services, the surface area for unauthorized data harvesting has expanded beyond traditional web cookies to include browser fingerprinting and cross-app tracking. This paper synthesizes recent research to evaluate the tension between personalized web experiences and the fundamental right to privacy. We analyze the impact of major regulatory frameworks, such as GDPR and CCPA, against the technical reality of "shadow tracking." Our findings suggest that while policy awareness is increasing, technical enforcement remains inconsistent, leaving mobile users vulnerable to opaque data practices.
A Literature Review on Resource-Efficient Web Browsing in Low-End Mobile Computing Environments Karin, Juliana
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The proliferation of mobile computing has bridged the digital divide, yet a significant portion of the global population relies on low-end mobile devices characterized by limited CPU power, RAM, and battery life. This paper provides a comprehensive literature review on resource-efficient web browsing strategies tailored for these constrained environments. As web applications become increasingly complex with heavy JavaScript frameworks and high-resolution media, the performance gap between high-end and low-end devices widens. We analyze current optimization techniques, including cloud-assisted browsing, code offloading, and lightweight browser architectures. The review identifies critical bottlenecks in memory management and energy consumption that current solutions struggle to address. By synthesizing recent research, this paper outlines the shift toward "edge-aware" browsing and progressive enhancement as vital strategies. Our findings suggest that while hardware-centric optimizations are plateauing, software-driven efficiency remains the primary frontier for ensuring inclusive digital access for users in developing technological landscapes
The Impact of Cross-Platform Frameworks on Mobile Web Application Performance: A Systematic Review Karin, Juliana
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As the demand for mobile applications surges, developers increasingly turn to cross-platform frameworks like React Native, Flutter, and Ionic to bypass the high costs of native development. However, a significant trade-off often exists between development efficiency and runtime performance. This systematic review investigates the impact of these frameworks on mobile web application performance, focusing on execution speed, memory management, and GPU utilization. By analyzing peer-reviewed literature from the last five years, this study identifies critical performance bottlenecks inherent in abstraction layers. The findings reveal that while Flutter nears native performance due to its direct rendering engine, JavaScript-based frameworks often suffer from bridge-related latency. This review provides a comprehensive synthesis of current performance benchmarks, offering developers a decision-making framework for selecting technologies based on computational requirements. Ultimately, the paper highlights the evolving landscape of mobile web apps and the closing gap between hybrid and native ecosystems.