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Science Information System and Technology
Published by Westscience Press
ISSN : 30261120     EISSN : 30255120     DOI : https://doi.org/10.58812/wsist.v1i02
Core Subject : Science,
Computer Science & IT
West Science Information System and Technology is a scholarly journal dedicated to the exploration and advancement of knowledge in the field of information systems and technology. The journal aims to publish high-quality research articles that contribute significantly to the understanding and development of information systems and technologies in the Western world. The journal covers a wide range of topics related to information system design, development, implementation, and management. It encompasses areas such as information systems development methodologies, database management systems, information technology infrastructure, enterprise systems, decision support systems, information systems security and privacy, human-computer interaction, and ethical and social implications of information systems.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 138 Documents
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Internet of Things Scholarship (2010–2026): A Scopus-Based Bibliometric Review of Thematic Clusters and Research Fronts Judijanto, Loso; Triwiyatno, Aris; Winardi, Bambang
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2808

Abstract

With the fast development of the digital world, the Internet of Things (IoT) has become an important element in the research domain nowadays. This research seeks to explore how the IoT literature developed from 2010 to 2026 via the bibliometric analysis of publications in Scopus databases. Using VOSviewer software to analyze co-authorship network, citation network, and keywords co-occurrence network, this study is intended to illustrate the structural features of the IoT literature in terms of its intellectural, social, and conceptual aspects. The findings indicate that IoT studies are characterized by close relations between researchers around the world, resulting in several major knowledge diffusion centers. In the context of citations analysis, the major sources not only contribute to technological development but also address issues like the sustainable environment, digital governance, and socio-economic transformations. As regards keywords co-occurrence analysis, the main groups of IoT research are smart environments, technology, engineering, and socio-technical studies. Overlay and density maps point out that there is a change in time concerning the focus of research towards more advanced concepts in the field, such as artificial intelligence in IoT, big data analysis, industry 4.0, and sustainable development. It can be concluded that IoT research is becoming more mature and multidisciplinary in nature, focusing more on addressing issues on a global scale. This paper will contribute to the existing literature on IoT research through a thorough systematic and long-term analysis of IoT studies.
Enterprise Resource Planning Systems (2000–2026): Scopus-Based Bibliometric Mapping of Knowledge Domains and Influential Studies Judijanto, Loso
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2809

Abstract

This research paper seeks to examine the development and structure of knowledge in the field of ERP research from 2000 to 2026 employing bibliometrics as a methodological tool. To achieve this purpose, the data were gathered from the Scopus database and analyzed via VOSviewer to visualize co-authorship patterns, citations, and co-occurrences of keywords. According to the findings, the subject area of ERP research has expanded from initial issues concerning implementation to more sophisticated themes, which are associated with digital transformation, such as artificial intelligence, cloud computing, and big data analytics. The co-authorship network shows the dispersed collaboration among authors, even though there is dominance among a few countries, including China, the United States, and India, in producing global knowledge. Citation analysis demonstrates the interdisciplinarity of ERP research, considering various lenses such as information systems, organizational theory, and emerging digital technologies. On the other hand, the keyword analysis illustrates a transition from problems relating to operations and management to those regarding strategies and technologies. In summary, this research paper will make a valuable contribution to future literature by providing an overall picture of ERP research in terms of its evolution, key figures, and trends.
Decision Support Systems Literature (2000–2026): A Scopus-Based Bibliometric Study of Research Patterns and Emerging Themes Judijanto, Loso
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2810

Abstract

The current research tries to map and analyze the scientific field of the research in the topic of Decision Support Systems (DSS) from 2000 to 2026 with the help of bibliometric analysis with data collected in the Scopus database. Bibliometric analysis in this paper will be used to study co-authorship networks, citations networks, and keyword co-occurrences in order to understand research collaborations, influential literature in the field, and evolving themes of the scientific discussion. The analysis shows that the research in DSS has been increasing with each year and is characterized by inter-disciplinary nature, being closely related to information systems, computer science, and management disciplines. As for co-authors, the analysis showed the presence of clusters of co-authoring that includes leading researchers, institutions, and even countries, but there is still not much interaction between the clusters. Citations networks were dominated by theoretical articles that are related to healthcare and methods, however, in the last few years, there was a noticeable trend towards artificial intelligence-driven studies. Finally, analysis of keywords shows the development of theme clusters from clinical decision support systems to machine learning and other modern themes like sustainability. This study provides a comprehensive overview of the intellectual structure and development trajectory of DSS research, offering valuable insights for researchers and practitioners in identifying future research directions and opportunities for interdisciplinary collaboration.
Business Intelligence Research (2010–2026): A Scopus-Based Bibliometric Assessment of Publication Growth and Conceptual Development Judijanto, Loso; Sopyan, Sopyan; Rahmawati, Rahmawati; Ningsih, Nikem Kurnia; Herawati, Tiwuk
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2812

Abstract

This study provides an overview of the evolution of research within the Business Intelligence (BI) domain between 2010 and 2026 by employing the bibliometric method based on the Scopus database. The study was aimed at discovering publication trends, prominent authors and organizations, collaboration structures, and evolution of the scientific concepts within the BI. Data analysis was performed using VOSviewer in order to create maps of co-authors' networks, citation structures, and keyword associations. The study revealed a growing tendency to publish works on the discussed topic, especially in the recent years, which indicates increased interest in data-driven decision-making processes. As far as co-authorship is concerned, cluster structures have been discovered; some authors served as central nodes of the network. Moreover, citations were used as the indicator of relevance of certain papers, and the results showed that interdisciplinary studies focused on artificial intelligence, machine learning, and big data became dominant. Finally, the topic analysis has shown that artificial intelligence has remained the focal point, while other interesting topics like behavioral analytics and generative artificial intelligence received increased attention.
Human–Computer Interaction (2000–2026): Scopus-Based Bibliometric Mapping of Core Topics and Methodological Trends Judijanto, Loso
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2829

Abstract

In this paper, bibliometric methods have been applied to analyze the development and knowledge structures of Human–Computer Interaction (HCI) from 2000 to 2026. The Scopus database was used for data acquisition and VOSviewer software was employed for visualizing research collaboration patterns, identifying prominent papers, and examining keyword trends in HCI research. Co-authorship, citation, and keywords co-occurrences were applied for analyzing the development of HCI. Results indicated that over time, the main focus of HCI research changed from usability and user interface issues to more advanced topics like integration of artificial intelligence technologies, deep learning, and domain-specific applications such as health-care sciences. Regarding collaboration among researchers in HCI, results depicted strong clusters of research inside this field with some connections to the outside world. Furthermore, the main reason for the high number of citations was the use of methodological tools that could be applied in all other fields and were considered generalizable. Overall, the findings of this study indicated the increasing trend towards developing an intelligent and adaptive HCI system based on machine learning.
Data Privacy Studies (2010–2026): A Scopus-Based Bibliometric Analysis of Research Hotspots and Citation Dynamics Judijanto, Loso
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2831

Abstract

The current study is designed to analyze the research on data privacy between the years 2010 and 2026 using bibliometrics. It seeks to explore collaboration trends, influential literature, and emerging research trends within the research area through co-authorship, citations, and co-keywords analysis. VOSViewer was used for the analysis, as well as visualization of co-citation and co-keyword networks, thus mapping out the intellectual and conceptual network of data privacy. As can be seen from the results, there have been many developments regarding the field under review, marked by increased international collaboration, especially among top-ranking countries such as China, the United Kingdom, India, and Germany. The citation network shows that the field relies not only on technologies like differential privacy and machine learning but also on behavior-based factors such as trust and privacy. The keyword network further indicates that "data privacy" plays an important role in this research domain, together with artificial intelligence, deep learning, and federated learning. The change in time for keywords implies a transition from traditional security methods to privacy-oriented techniques.
Database Management Systems (2000–2026): A Scopus-Based Bibliometric Review of Research Streams and Key Contributor Judijanto, Loso
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2832

Abstract

The current research intends to analyze the knowledge structure and research trends of the DBMS by using a bibliometric approach to study articles published in the Scopus database between 2000 and 2026. This will be achieved using the VOSviewer as the main software for analyzing authors' networks, citations and keywords' co-occurrences. As expected, the findings reveal that research within the DBMS area has become increasingly interdisciplinary with notable influences from fields such as health care and bioinformatics and data science. In terms of authorship patterns, it is evident that collaboration within DBMS research happens in clusters. This is an indication of the presence of well-coordinated intra-cluster collaboration and a lack of inter-cluster collaboration. The findings from the citation analysis show that there are key publications within DBMS research that have been highly cited due to their contribution to developing the discipline. Finally, from the keyword co-occurrences, it is clear that the trend within DBMS research has shifted from more traditional subjects to newer areas such as artificial intelligence and machine learning. The findings highlight the growing complexity and integration of DBMS within modern digital ecosystems, while also emphasizing the need for enhanced global collaboration and innovation-driven research. This study provides valuable insights for researchers and practitioners in understanding the trajectory and future directions of DBMS research.
Software Development Methodologies (2000–2026): A Scopus-Based Bibliometric Mapping of Scholarly Output and Thematic Evolution Judijanto, Loso
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2833

Abstract

In this study, an analysis will be conducted on the intellectual structure and thematic development of the literature concerning software development methodologies during the time frame of 2000 to 2026 through the bibliometric method. The data were retrieved from the Scopus database and analyzed using VOSviewer to create various visualization networks, including co-authorship, citations, and keyword co-occurrences. According to the findings, there was a substantial increase in the amount of literature produced within the study domain, demonstrating the rising significance of software development methodologies in both theoretical and practical fields. Through the co-authorship analysis, it was observed that research collaboration tends to occur mainly between several dominant countries and organizations, but possibilities for collaboration across the globe still exist. In terms of citation analysis, the most cited sources were mostly related to the creation of software development tools, which highlighted the applicability of the domain. In addition, through the keyword co-occurrence and overlay analysis, the thematic development of the literature shifted from classic software engineering techniques to adaptable and smart methods, including agile development, artificial intelligence, and machine learning. Moreover, other emerging themes, such as sustainability, indicated the wide range of applications for the study field.

Page 14 of 14 | Total Record : 138

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