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All Journal Aptisi Transactions on Management International Transactions on Artificial Intelligence (ITALIC)
Nathalie, Julia
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science

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A Structural Framework for Effective Time Management in Dynamic Work Environments Callula, Brigitta; Sana, Eirene; Jacqueline, Greisy; Nathalie, Julia; Maria, Lily
APTISI Transactions on Management (ATM) Vol 8 No 2 (2024): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v8i2.2256

Abstract

This paper presents a structural framework to enhance time management profi- ciency within dynamic work environments. The framework integrates prioritization techniques, task scheduling methods, delegation strategies, and technology utilization to optimize time allocation and productivity. The evaluation demonstrates significant improvements in time management efficiency and client satisfaction across various professional contexts.  For instance, by employing the eisenhower Matrix and Pareto Principle, project managers achieved a 20% im- provement in project completion times. The framework’s adaptability is further highlighted by a 25% reduction in project turnaround time in a marketing agency and a 30% increase in project visibility in a startup. These findings underscore the framework’s practical implementation as a holistic approach to managing time effectively and achieving long-term success. Continuous refinement, real- time feedback integration, and exploring the impact of emerging technologies are recommended for further enhancing the framework’s effectiveness. This research contributes valuable insights for organizations aiming to navigate the complexities of modern work environments.
Implementation of Cloud-Based Information Management to Enhance Work Efficiency in Information Technology Companies Widjaja, Andree Emmanuel; Mulyati, Mulyati; Supriyanti, Dedeh; Hikam, Ihsan Nuril; Goestjahjanti, Francisca Sestri; Kamar, Karnawi; Nathalie, Julia
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.536

Abstract

In the era of rapid digital transformation, Information Technology (IT) companies are increasingly challenged to manage large and complex datasets efficiently. This study investigates the implementation of cloud-based information management systems as a strategic approach to improving work efficiency within IT companies. A mixed-method approach was adopted, combining quantitative data from system performance metrics and employee productivity reports with qualitative insights obtained from surveys and in-depth interviews with employees and managers. The results show a significant improvement in work efficiency, with a 30% decrease in system response time and a 25% increase in employee productivity. Additionally, qualitative findings indicate enhanced employee satisfaction, better collaboration, and more effective decision-making due to improved data accessibility and streamlined workflows. The integration of cloud-based systems with existing IT infrastructure is also identified as a critical factor for the success of such implementations. These findings highlight that cloud technology not only addresses operational challenges but also supports broader strategic goals. The study recommends IT companies invest in employee training, robust data security measures, and seamless integration strategies to fully leverage the potential of cloud-based information management in optimizing performance and maintaining competitiveness.
Co-Authors Callula, Brigitta Goestjahjanti, Francisca Sestri Hikam, Ihsan Nuril Jacqueline, Greisy Karnawi Kamar, Karnawi Maria, Lily Mulyati Mulyati Sana, Eirene Supriyanti, Dedeh Widjaja, Andree Emmanuel