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p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Cyber and IT Service Management (IJCITSM) JOT
Bintang Nandana Henry
Kreatif Desain
Computer Science & IT Decision Sciences, Operations Research & Management

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The Importance Increasing Attendance Efficiency Accuracy with Presence System in Era Industrial Revolution 4.0 Tri Hartono; Bintang Nandana Henry; Sirje Nurm; Lukita Pasha; Dwi Julianingsih
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.v4i2.168

Abstract

Employee attendance management systems have become a major focus of the Industrial Revolution 4.0 era due to their significant role in increasing organizational productivity and performance. This study demonstrates the importance of the SmartPLS methodology in analyzing the impact of IoT based attendance technology and big data analytics on the efficiency and accuracy of employee attendance. Both the assessments reviewed show that the use of IoT based attendance technology and the implementation of big data analytics systems have a significant positive impact on the efficiency and accuracy of employee attendance. IoT based attendance technology enables real-time attendance data collection with high accuracy, while big data analytics enables organizations to derive valuable insights from the large volume of collected attendance data. These findings provide a better understanding of the contribution of technology in increasing organizational productivity and performance in today digital age. This study provides valuable insights for business professionals and academics to develop adaptive and effective attendance management strategies. Using IoT based attendance technology and big data analytics, organizations can improve operational efficiency, increase payroll accuracy, and optimize overall human resource utilization. Furthermore, the study also highlights the importance of adapting and innovating in the face of technological developments. By incorporating knowledge of the latest technology and industry trends, organizations can continuously enhance their attendance management strategies to remain relevant and competitive in the ever changing business environment.
The Importance Increasing Attendance Efficiency Accuracy with Presence System in Era Industrial Revolution 4.0 Tri Hartono; Bintang Nandana Henry; Sirje Nurm; Lukita Pasha; Dwi Julianingsih
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.v4i2.168

Abstract

Employee attendance management systems have become a major focus of the Industrial Revolution 4.0 era due to their significant role in increasing organizational productivity and performance. This study demonstrates the importance of the SmartPLS methodology in analyzing the impact of IoT based attendance technology and big data analytics on the efficiency and accuracy of employee attendance. Both the assessments reviewed show that the use of IoT based attendance technology and the implementation of big data analytics systems have a significant positive impact on the efficiency and accuracy of employee attendance. IoT based attendance technology enables real-time attendance data collection with high accuracy, while big data analytics enables organizations to derive valuable insights from the large volume of collected attendance data. These findings provide a better understanding of the contribution of technology in increasing organizational productivity and performance in today digital age. This study provides valuable insights for business professionals and academics to develop adaptive and effective attendance management strategies. Using IoT based attendance technology and big data analytics, organizations can improve operational efficiency, increase payroll accuracy, and optimize overall human resource utilization. Furthermore, the study also highlights the importance of adapting and innovating in the face of technological developments. By incorporating knowledge of the latest technology and industry trends, organizations can continuously enhance their attendance management strategies to remain relevant and competitive in the ever changing business environment.
Enhancing Human Trust Through Explainable AI Communication for Nontechnical Stakeholders Dwi Apriliasari; Bintang Nandana Henry; Alexander Williams
Journal of Orange Technology Vol. 3 No. 1 (2026): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v3i1.101

Abstract

The rapid adoption of Artificial Intelligence (AI) in data driven decision making has increased the complexity of analytical models, creating significant communication barriers between technical experts and nontechnical stakeholders. Limited understanding of AI generated insights often reduces trust, delays decision making, and restricts the effective adoption of AI supported recommendations. As organizations increasingly rely on explainable and human centered AI systems, effective communication has become essential to ensuring that AI out- puts are accessible, transparent, and meaningful for diverse stakeholder groups. This study aims to identify the key challenges in communicating complex AI model results and to develop practical communication strategies that enhance human trust among nontechnical stakeholders. A qualitative research design was employed using case studies, open ended surveys, expert interviews, and focus group discussions involving data scientists and nontechnical decision makers from business organizations. The collected data were analyzed through thematic analysis to identify recurring communication barriers and effective explanatory practices. The findings reveal that technical jargon, cognitive overload, and limited contextual explanations are the primary factors reducing stakeholder trust in AI generated insights. Conversely, explainable AI communication supported by intuitive data visualization, contextual storytelling, simplified summaries, and audience centered messaging significantly improves understanding, transparency, and stakeholder confidence across organizational contexts. The study proposes a human centered communication framework that strengthens trust in AI assisted decision making while promoting more inclusive and responsible technology adoption. These findings contribute to explainable AI research by demonstrating how effective communication can bridge the gap between technical complexity and human understanding, thereby generating meaningful humanistic impacts in organizational decision making and sustainable organizational innovation.
Co-Authors Alexander Williams Dwi Apriliasari Dwi Julianingsih Lukita Pasha Sirje Nurm Tri Hartono