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This Author published in this journals
All Journal Aptisi Transactions on Technopreneurship (ATT) ADI Journal on Recent Innovation (AJRI) International Journal of Cyber and IT Service Management (IJCITSM)
Dwi Apriliasari
University of Raharja
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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The Impact Of Online System on Health During Covid 19: A Comprehensive Study Bhupesh Rawat; Ankur Singh Bist; Untung Rahardja; Chandra Lukita; Dwi Apriliasari
ADI Journal on Recent Innovation Vol. 3 No. 2 (2022): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v3i2.654

Abstract

COVID-19 creates an unprecedented situation before humanity. Covid-19 has changed lives in all aspects, from education, industry and social life. However, the existence of Covid-19 has greatly impacted the field of education, where the applicable learning methods usually need to make drastic changes to decide the spread of Covid-19. The education sector is turning to online education because it is not possible to call students in schools and colleges. Technology online education is proving itself to be a cure for catastrophe and filling gaps. There are major challenges regarding student health due to the high use of mobile, tablet and computer screens. There are problems regarding student health in the application of technology online learning, in this paper we make a detailed study of the same problem with the ultimate goal of research to find out the preventive measures. In this paper, we use the literature study method to explore negative cases in terms of obtaining negative reasoning due to excessive screen use during the COVID-19 scenario
Reinforcing Lecturer Readiness to Change by Increasing Psychological Capital and Engagement Lista Meria; Corry Yohana; Unggul Purwohedi; Saukani; Dwi Apriliasari
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.v5i3.214

Abstract

Organizational change demands effective management, with the preparedness of human resources playing a pivotal role in achieving success. This study explores the interplay of psychological capital, work engagement, and entrepreneurial mindsets (both intrapreneurial and entrepreneurial) as predictors of lecturers' readiness for change. Conducted with 331 lecturers from private universities in Indonesia (Esa Unggul, Jakarta state university and Muhammadiyah Pringsewu, the research employs Structural Equation Modeling with Partial Least Squares (SEM PLS) for data analysis. The findings underscore the substantial influence of psychological capital and work engagement in enhancing lecturer readiness for change. Additionally, work engagement emerges as a critical mediator in the relationship between psychological capital and readiness for change. Notably, the study contributes to our understanding by delving into both intrapreneurial and entrepreneurial dimensions of entrepreneurial mindsets, offering a nuanced perspective on the factors shaping educator readiness for change. The research contributes theoretically by shedding light on the multifaceted roles of entrepreneurial mindsets in strengthening readiness for change, addressing a gap in the existing literature. Practical insights advocate for the cultivation of diverse entrepreneurial mindsets among educators to successfully navigate organizational change. This study establishes a foundation for future research in this evolving domain, emphasizing the significance of entrepreneurial approaches in preparing lecturers for the challenges posed by organizational change.
Building Efficient IoT Systems with Edge Computing Integration Dini Hidayati; Andriyansah Andriyansah; Galih Putra Cesna; Ahmad Yadi Fauzi; Dwi Apriliasari; Untung Rahardja
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.163

Abstract

The exponential growth of the Web of Things (IoT) is transforming businesses, connecting billions of devices that generate massive amounts of data. However, preparing this data at scale in real time poses significant challenges, including inactivity, transmission capacity constraints, and data blocking in centralized cloud systems. Edge computing has become an urgent solution. It allows data preparation to occur closer to the source, thereby improving operational productivity, reducing idle time, and optimizing transmission capacity. This shift toward local availability reduces the burden on centralized cloud systems, making IoT systems more responsive and robust. This article examines the integration of edge computing with IoT. It highlights the fundamental advances that have made this connection possible. Key applications, such as real-time analytics, vision support, and edge AI, describe how edge computing improves data processing and enhances independent decision-making at the device level. Additionally, we discuss how advances in hardware, orchestration techniques, and machine learning drive the development of edge-enabled IoT environments. By analyzing these current uses, we identify emerging trends that will shape future IoT systems, making them more adaptive, efficient, and resilient to changing data demands. This survey highlights the potential of edge computing to power next-generation IoT systems, providing important insights for businesses looking to support complete control of the devices involved.
Co-Authors Ahmad Yadi Fauzi Andriyansah . Ankur Singh Bist Bhupesh Rawat Corry Yohana Dini Hidayati Galih Putra Cesna Lista Meria Saukani Unggul Purwohedi Untung Rahardja Untung Rahardja