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The Eastasouth Journal of Information System and Computer Science
Published by Eastasouth Institute
ISSN : 30266041     EISSN : 3025566X     DOI : https://doi.org/10.58812/esiscs
Core Subject : Science,
Computer Science & IT
ESISCS - The Eastasouth Journal of Information System and Computer Science is a peer-reviewed journal and open access three times a year (April, August, December) published by Eastasouth Institute. ESISCS aims to publish articles in the field of Enterprise systems and applications, Database management systems, Decision support systems, Knowledge management systems, E-commerce and e-business systems, Business intelligence and analytics, Information system security and privacy, Human-computer interaction, Algorithms and data structures, Artificial intelligence and machine learning, Computer vision and image processing, Computer networks and communications, Distributed and parallel computing, Software engineering and development, Information retrieval and web mining, Cloud computing and big data. ESISCS accepts manuscripts of both quantitative and qualitative research. ESISCS publishes papers: 1) review papers, 2) basic research papers, and 3) case study papers. ESISCS has been indexed in, Crossref, and others indexing. All submissions should be formatted in accordance with ESISCS template and through Open Journal System (OJS) only.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 81 Documents
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An Interdisciplinary Bibliometric Review of the Symbiotic Relationship between Business Intelligence and Artificial Intelligence Loso Judijanto; I Wayan Karang Utama; Nita Priska Ambarita; Indra Permana
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.183

Abstract

This research conducts an interdisciplinary bibliometric review to explore the symbiotic relationship between Business Intelligence (BI) and Artificial Intelligence (AI). Utilizing advanced bibliometric tools, we analyze a comprehensive dataset extracted from reputable databases, encompassing articles that meet predefined inclusion criteria. The study reveals thematic clusters, influential documents, and core keywords shaping the discourse within the BI-AI landscape. Thematic clusters highlight the multidisciplinary nature of research, ranging from the impact of AI on finance to business model innovation and sustainability. The top-ten cited documents provide a snapshot of seminal works guiding academic and practical understanding, while keyword analysis illuminates the central themes and areas of emphasis. The cross-analysis of these elements offers a nuanced view of the evolving landscape of BI-AI integration. The findings not only contribute to academic scholarship but also provide practical insights for organizations navigating the dynamic intersection of BI and AI.
The Influence of Internet of Things (IoT) on Operational Efficiency and Competitive Advantage in the Information Technology Industry in Indonesia Judijanto, Loso; Triwiyatno, Aris; Sofyan, Sofyan
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 03 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i03.240

Abstract

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 Judijanto, Loso
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 03 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i03.241

Abstract

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.
Analyzing the Impact of Blockchain Technology on Transaction Security with a Bibliometric Perspective Judijanto, Loso; Gamaliel, Fritz
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 03 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i03.242

Abstract

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.
The Influence of Business Analytics and Big Data on Predictive Maintenance and Asset Management Judijanto, Loso; Uhai, Sabalius; Suri, Ihsan
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 03 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i03.243

Abstract

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.
The Impact of Digital User Experience on Brand Perception and Consumer Loyalty in the E-Commerce Industry in Indonesia Susilawati, Agnes Dwita; Wahyudi, Farid; Putra, Wira Pramana; Supriyanto, Wawan; Limpo, Lita
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 03 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i03.244

Abstract

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 Impact of Mobile Payment Systems and User Interface Design on Customer Adoption and Transaction Volume in E-commerce Companies in Jakarta Judijanto, Loso; Wardhani, Diky
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 01 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i01.321

Abstract

This study investigates the impact of mobile payment systems and user interface design on customer adoption and transaction volume in e-commerce companies in Jakarta. Utilizing a quantitative approach, data were collected from 140 respondents and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings indicate that both mobile payment systems and user interface design significantly and positively influence customer adoption. Additionally, customer adoption was found to have a positive impact on transaction volume. The study highlights the critical role of efficient mobile payment solutions and intuitive user interface designs in enhancing consumer engagement and transaction outcomes. These insights provide valuable guidance for e-commerce businesses in Jakarta, emphasizing the need to optimize technological and design elements to improve competitive advantage and drive business growth.
A Bibliometric Review of Knowledge Management Systems in Organizational Learning and Innovation Judijanto, Loso; Berliani, Teti; Aidhi, Akhmad Al
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 01 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i01.322

Abstract

This study employs a bibliometric analysis to explore the evolution of research themes within the field of organizational learning and innovation from 2006 to 2014. Utilizing VOSviewer for network visualization, the research identifies key thematic shifts over time, tracing the trajectory from foundational aspects such as information technology and tacit knowledge to more complex constructs like organizational innovation and leadership. The analysis reveals a gradual shift towards integrating technology with organizational capabilities, highlighting how evolving technologies influence learning environments and innovation processes. Practical implications are discussed, suggesting ways organizations can adapt to these trends to enhance knowledge management and innovation. Theoretical contributions are also noted, emphasizing the study’s role in enriching the understanding of the dynamic interplay between organizational knowledge processes and innovation. Limitations of the bibliometric method and the potential subjectivity of visual data interpretation are acknowledged, setting the stage for future research to build upon these foundational findings.
Bibliometric Insights into the Development of Real-Time Business Intelligence Systems Judijanto, Loso
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 01 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i01.323

Abstract

This study presents a comprehensive bibliometric analysis of the literature on real-time business intelligence systems, spanning publications from 1993 to 2024. The research aims to map the evolution of key themes, identify influential authors and articles, and highlight emerging trends in the field. Utilizing data from Google Scholar Database, the analysis reveals a significant focus on big data analytics, machine learning, and cloud computing as critical components of modern BI systems. The study offers practical insights for organizations looking to enhance decision-making processes through real-time data processing and analytics. It also contributes theoretically by elucidating the development of business intelligence research, identifying gaps, and suggesting future research directions. Despite its contributions, the study acknowledges limitations related to data scope and methodology, underscoring the need for further exploration to deepen understanding in this rapidly evolving field.
The Impact of Website Usability and Mobile Optimization on Customer Satisfaction and Sales Conversion Rates in E-commerce Businesses in Indonesia Nawir, Fadliyani; Hendrawan, Satya Arisena
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 01 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i01.324

Abstract

This study investigates the impact of website usability and mobile optimization on customer satisfaction and sales conversion rates in e-commerce businesses in Indonesia. Utilizing a quantitative approach, data were collected from 170 respondents using a Likert scale ranging from 1 to 5. The analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results indicate that all hypothesized relationships are positive and significant. Specifically, improvements in website usability and mobile optimization significantly enhance customer satisfaction, which in turn positively influences the sales conversion rate. The findings underscore the critical importance of optimizing website usability and mobile interfaces to boost customer satisfaction and drive higher sales conversions in the competitive e-commerce landscape of Indonesia.

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