The Eastasouth Journal of Information System and Computer Science

The Impact of Digital User Experience on Brand Perception and Consumer Loyalty in the E-Commerce Industry in Indonesia

Agnes Dwita Susilawati — 2024-04-30

This research investigates the impact of digital user experience (DUE) on brand perception and consumer loyalty within the burgeoning e-commerce industry in Indonesia. Through a quantitative analysis involving 150 e-commerce users, the study examines the relationships between DUE, brand perception (BP), and consumer loyalty (CL) using structural equation modeling (SEM) with Partial Least Squares (PLS) 3.0. The findings highlight the significant positive associations between DUE and both BP and CL, emphasizing the crucial role of user-centric digital platforms in shaping consumer behavior and fostering brand loyalty. Furthermore, the study elucidates the mediating role of BP in the relationship between DUE and CL, underscoring the importance of cultivating favorable brand perceptions to enhance consumer loyalty. These insights offer valuable implications for e-commerce businesses seeking to optimize their digital strategies and cultivate enduring customer relationships in the dynamic Indonesian market landscape.

The Influence of Business Analytics and Big Data on Predictive Maintenance and Asset Management

Loso Judijanto — 2024-04-30

This study investigates the impact of business analytics and big data on predictive maintenance and asset management practices within the energy industry in Indonesia. A quantitative research approach, utilizing a survey methodology, was employed to gather data from stakeholders representing various sectors of the energy industry. The study analyzed the relationships between business analytics, big data, predictive maintenance, and asset management using structural equation modeling (SEM) with Partial Least Squares (PLS) regression. The results indicate significant positive relationships between the utilization of business analytics and big data and various performance metrics, including asset reliability, operational efficiency, and cost savings. Furthermore, organizational factors such as leadership support and data quality were found to play a crucial role in facilitating the adoption and implementation of predictive maintenance strategies. The findings underscore the transformative potential of data-driven maintenance strategies in enhancing operational efficiency, reducing downtime, and improving asset reliability within the Indonesian energy industry.

Analyzing the Impact of Blockchain Technology on Transaction Security with a Bibliometric Perspective

Loso Judijanto — 2024-04-30

This study presents a comprehensive bibliometric analysis aimed at assessing the impact of blockchain technology on transaction security. Spanning the period from 2016 to 2024, our analysis encompasses a total of 980 papers, revealing a profound scholarly interest and a rapidly evolving research landscape in this domain. Through quantitative metrics such as citation analysis, and qualitative insights from thematic, overlay, density, and author network visualizations, we delineate the key trends, challenges, and future directions in blockchain research. The findings indicate a marked emphasis on the decentralization, security, and transparency that blockchain offers, with significant applications across banking, energy trading, the Internet of Things (IoT), healthcare, and education sectors. Despite its promise, the study also identifies persistent challenges related to scalability, interoperability, privacy, and regulatory compliance that need addressing. By mapping the scholarly landscape, this research not only sheds light on the current state of blockchain technology in enhancing transaction security but also outlines potential avenues for future research, underscoring the technology's interdisciplinary impact and its evolving role in digital transactions.

Ethics of Artificial Intelligence: Dialectics of Artificial Intelligence Policy for Humanity

Khairul Syafuddin — 2024-04-30

Artificial Intelligence is now widely used by humans. The use of this technology is based on the view that Artificial Intelligence can make their lives easier. Many sectors have utilized this technology, including government, private, social, health, to education. Even though Artificial Intelligence is felt to have many benefits, there are perceived threats so that appropriate policies are needed. Thus, the aim of this research is to find out policies that can be recommended for the use of Artificial Intelligence that focus on humanitarian aspects. This research uses a qualitative approach to deepen the literature review that has been carried out. The results of this research show that the presence of Artificial Intelligence provides quite large benefits, especially as a technology for predicting the future. However, to regulate the use of this technology, appropriate policies are needed to avoid increasingly widespread digital crimes. In formulating Artificial Intelligence policies, humanitarian aspects need to be considered to provide appropriate protection. Especially for vulnerable groups who have low access to the use of Artificial Intelligence.

The Influence of Internet of Things (IoT) on Operational Efficiency and Competitive Advantage in the Information Technology Industry in Indonesia

Loso Judijanto — 2024-04-30

This study investigates the impact of Internet of Things (IoT) adoption on operational efficiency and competitive advantage within the Information Technology (IT) industry in Indonesia. A quantitative research approach was employed, utilizing a cross-sectional survey design to collect primary data from 170 IT companies operating in Indonesia. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) algorithm was utilized to analyze the data and test the research hypotheses. The findings reveal that IoT adoption positively influences both operational efficiency and competitive advantage within the Indonesian IT industry. These results underscore the transformative potential of IoT technologies in enhancing organizational performance and strategic positioning in the digital era. The study contributes to the existing literature by providing empirical evidence on the benefits of IoT adoption in the context of the Indonesian IT industry, offering insights for policymakers, practitioners, and researchers seeking to harness the potential of IoT technologies for sustainable growth and innovation.

Bibliometric Insights into the Evolution of Health Information Systems and Telemedicine Research

Loso Judijanto — 2024-04-30

This bibliometric study provides a comprehensive analysis of the research landscape in Health Information Systems (HIS) and Telemedicine, elucidating key trends, influential factors, and thematic clusters shaping the field's evolution. Through systematic data collection and analysis of nearly a thousand scholarly articles, this research offers insights into publication output, citation patterns, collaboration networks, and thematic areas within HIS and Telemedicine research. Thematic network and temporal analyses reveal distinct clusters focusing on telehealth, HIS implementation, advanced telemedicine technologies, and contextual factors influencing telemedicine adoption. Highly cited papers and author collaboration networks further underscore seminal contributions and research clusters within the field. Overall, this study contributes to a deeper understanding of the current state of HIS and Telemedicine research, informing strategic initiatives for future advancements in healthcare technology and delivery.