Article Per Year (5 Year)
p-Index From 2020 - 2025
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This Author published in this journals
All Journal Aptisi Transactions on Management International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application
Victorianda
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Library & Information Science Social Sciences Other

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Advancing E-commerce Smart-PLS as a Catalyst for Improved Online Shopping Services Alwiyah; Victorianda; Bennet, Daniel
International Transactions on Education Technology (ITEE) Vol. 2 No. 2 (2024): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v2i2.540

Abstract

In the fast-paced world of e-commerce, the adoption of advanced methodologies and technologies is vital to address the increasing demands and challenges of online shopping services. This paper examines the transformative impact of Partial Least Squares Structural Equation Modeling (Smart-PLS) on e-commerce. Smart-PLS is a powerful tool that offers a robust framework for analyzing and enhancing various aspects of e-commerce, such as customer experience, service quality, and business performance. This study explores how Smart-PLS facilitates a data-driven decision-making approach, resulting in better user experiences, optimized supply chains, and improved business strategies. The abstract underscores the importance of Smart-PLS as a revolutionary tool in the e-commerce sector, enabling businesses to adapt, innovate, and succeed in the digital marketplace. It highlights the potential of Smart-PLS to shape the future of online shopping services and stresses the necessity of its adoption for maintaining competitiveness in the ever-changing e-commerce landscape.
Digital Transformation and Blockchain Technology: A Viewpoint from Emerging Markets Meria, Lista; Fabian, Stefanus; Victorianda; Mariyanti, Tatik
Blockchain Frontier Technology Vol. 4 No. 1 (2024): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i1.573

Abstract

In the context of digital transformation, this paper provides a thorough analysis of the theoretical underpinnings and real-world applications of blockchain technology. Blockchain is a revolutionary technology that is improving security, transparency, and operational efficiency and is causing significant changes in a number of industries. This study evaluates the practical efficacy of blockchain concepts in supply chain management, healthcare, and finance by reviewing a large body of research on decentralization, cryptographic security, and consensus methods. The report also identifies important barriers to blockchain adoption, such as scalability constraints, regulatory barriers, and interoperability problems. Through an analysis of these challenges, the study offers insights into the obstacles that must be overcome in order to apply blockchain technology more widely. The paper demonstrates how blockchain technology is being used to propel digital transformation by fusing theoretical viewpoints with actual case studies. The study illustrates the useful advantages and potential of blockchain in building more transparent, safe, and effective systems through these case studies.
Enhancing Personalized Learning Using Artificial Intelligence and Machine Learning Approaches Shaumiwaty, Shaumiwaty; Mochamad Heru Riza Chakim; Heni Nurhaeni; Victorianda
Blockchain Frontier Technology Vol. 4 No. 2 (2025): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i2.715

Abstract

The convergence of artificial intelligence (AI) and machine learning (ML) technologies has revolutionized the education landscape, shifting paradigms toward individualized and optimized learning environments. By harnessing AI predictive power and ML adaptive capabilities, educational outcomes are enhanced while equipping teachers with data driven insights for informed decision making. The primary objective of this research is to explore how customized learning environments, ML models, performance measurement, and AI algorithms improve educational outcomes and learning experiences. Despite the rapid advancements in AI driven education, a gap exists in the integration of AI powered personalization with statistical validation techniques like SmartPLS, particularly in evaluating its direct impact on student engagement and performance. The novelty of this study lies in its emphasis on AI driven customization in learning, utilizing advanced statistical validation techniques to provide empirical support for personalized education models. The method involves a survey based approach combined with SmartPLS statistical modeling to analyze correlations between AI driven learning adaptations and educational outcomes. The findings from the result and discussion indicate a positive impact of AI algorithms and ML models on academic success, individualized learning, and improved performance measures, with most hypotheses yielding significant results. These insights align with emerging trends in personalized and adaptable learning and technological advancements, such as immersive experiences and the integration of virtual reality. By addressing the research gap and validating AI driven learning models through SmartPLS, this study contributes to the growing body of knowledge in AI enhanced education, demonstrating the effectiveness of intelligent, data-driven learning environments in fostering better academic performance and engagement.
Advancing Management Strategies with AI and IoT for Operational Excellence and Competitive Edge Zulkarnain, Andy; Zainum Ikhsan, Ramzi; Septiani, Nanda; Victorianda
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2396

Abstract

As organizations face increasing competition and technological advancements, optimizing operations and managing resources efficiently is crucial for maintaining a competitive edge. The integration of emerging technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) enhances efficiency, improves resource allocation, and drives growth. This study explores how AI and IoT adoption optimizes business processes, improves decision-making, and fosters a competitive advantage Using a quantitative approach, data from 200 executives in AI and IoT-implemented industries were analyzed. The analysis, conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), indicates that AI and IoT significantly enhance efficiency, resource utilization, and overall performance. Real-time monitoring and predictive analytics improve market alignment and operational trends The findings suggest that organizations adopting AI and IoT can better navigate dynamic business environments, enhance productivity, and sustain growth. Moreover, fostering innovation and continuous technological improvement is essential. This research underscores AI and IoT’s transformative potential in reshaping business operations and securing a competitive edge. Future research should explore these technologies' industry-specific impacts and broader innovation potential.
Advancements and Challenges in the Implementation of 5G Networks: A Comprehensive Analysis Mahyuni; Bimantara, Ade Arya; Nurfaizi, Rifky; Ahsanitaqwim, Ridhuan; Victorianda
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.32

Abstract

The evolution of cellular networks from 1G to 5G has introduced significant advancements in speed, capacity, and reliability. Now, 5G is set to transform communication technology further with higher speeds, increased capacity, reduced latency, and massive IoT connectivity. This research aims to identify the opportunities and challenges in the implementation of 5G networks, focusing on improvements in network speed and capacity, IoT development, industrial applications, user experience, and infrastructure, security, privacy, regulatory, and spectrum challenges. A mixed-methods approach was used, combining qualitative and quantitative analyses. Data were collected from primary sources (expert interviews, surveys) and secondary sources (academic literature, industry reports). Thematic analysis and descriptive and inferential statistics were applied. 5G significantly enhances network speed and capacity, enabling faster, more reliable communication and greater device connectivity. It supports industrial automation, operational efficiency, and innovation in sectors like healthcare, automotive, and manufacturing. Despite its potential, 5G faces challenges such as high infrastructure costs, coverage issues, and security risks. Effective collaboration between government and industry, prioritizing advanced technologies, and developing a comprehensive 5G ecosystem are essential for successful implementation.
Co-Authors Ahsanitaqwim, Ridhuan Alwiyah Alwiyah Bennet, Daniel Bimantara, Ade Arya Fabian, Stefanus Heni Nurhaeni Mahyuni Meria, Lista Mochamad Heru Riza Chakim Nurfaizi, Rifky Septiani, Nanda Shaumiwaty, Shaumiwaty Tatik Mariyanti, Tatik Zainum Ikhsan, Ramzi Zulkarnain, Andy