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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 14 Documents
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Search results for , issue "Vol. 4 No. 01 (2026): West Science Information System and Technology" : 14 Documents clear
The Effect of Perceived Ease of Use and Perceived Usefulness on Intention to Use Mobile Banking Apps Risdwiyanto, Andriya; Irjanto, 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.v4i01.2776

Abstract

This study examines the influence of perceived ease of use (PEOU) and perceived usefulness (PU) on the intention to use mobile banking apps in Indonesia. A total of 175 participants were surveyed, and the data were analyzed using SPSS version 25. The results indicate that both PEOU and PU significantly affect users' intention to use mobile banking apps, with perceived usefulness showing the strongest influence. Perceived ease of use also plays a significant role, though to a lesser extent. The findings suggest that enhancing both the usability and usefulness of mobile banking apps can drive higher adoption rates. This study contributes valuable insights for mobile banking developers and financial institutions aiming to improve user engagement and increase mobile banking adoption in Indonesia.
The Effect of System Security and User Trust on Online Transaction Decisions in E Commerce Bambang Winardi; ZM, Ajub Ajulian; Sinuraya, Enda Wista
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.v4i01.2777

Abstract

This study aims to analyze the influence of system security and user trust on online transaction decisions in e-commerce in Indonesia. A quantitative research approach was employed, with data collected from 75 respondents using a structured questionnaire based on a Likert scale. The sampling technique used was purposive sampling, targeting individuals who have experience in conducting online transactions. Data were analyzed using SPSS version 25, including validity and reliability tests, classical assumption tests, and multiple linear regression analysis. The results show that system security and user trust have a positive and significant effect on online transaction decisions, both partially and simultaneously. System security also has a significant effect on user trust, indicating its role as a fundamental factor in building consumer confidence. The regression analysis reveals that system security and user trust significantly influence transaction decisions, with an adjusted R² value of 0.491. This indicates that 49.1% of the variation in online transaction decisions can be explained by the two variables. The findings suggest that enhancing security systems and strengthening user trust are essential strategies for e-commerce platforms to improve consumer participation and transaction behavior in Indonesia.
The Effect of System Quality and Information Quality on User Satisfaction with Academic Information Systems Hildawati, Hildawati; Bunyamin, Ilham Akbar; Andiani, Paramita
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.v4i01.2778

Abstract

This study aims to examine the effect of system quality and information quality on user satisfaction with Academic Information Systems (AIS) in Indonesia. A quantitative approach was employed using survey data collected from 150 respondents who actively use AIS in higher education institutions. Data were gathered through a structured questionnaire measured using a Likert scale. The analysis was conducted using IBM SPSS Statistics version 25, including validity and reliability tests, classical assumption tests, and multiple linear regression analysis. The results indicate that both system quality and information quality have a positive and significant effect on user satisfaction, both partially and simultaneously. System quality contributes through aspects such as ease of use, reliability, and responsiveness, while information quality is reflected in accuracy, relevance, and timeliness. Furthermore, information quality was found to have a stronger influence compared to system quality. The coefficient of determination (R²) shows that 48.3% of user satisfaction can be explained by the two independent variables. These findings highlight the importance of improving both system performance and the quality of information provided to enhance user satisfaction. This study provides practical implications for universities and system developers in optimizing academic information systems to better meet user needs and expectations.
A Scopus-Based Bibliometric Landscape of Cybersecurity Research (2000–2026): Trends, Collaboration, and Research Directions 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.v4i01.2806

Abstract

The rapid advancement in digital technologies has resulted in a significant increase in the importance of cybersecurity, resulting in an upsurge in the number of studies conducted in this domain during the last two decades. Therefore, the present work is intended to investigate the intellectual structure, collaboration patterns, and evolution of themes in cybersecurity research through a bibliometric analysis. Data have been extracted from Scopus from the time period 2000-2026, and VOSViewer has been used to conduct the visualization process through the identification of the co-authorship network, citation network, and keywords co-occurrence network. As observed from the results obtained, there are a few dominant countries contributing to cybersecurity research, including the US, India, and China that play the roles of central hubs in the network of collaborations. It can be found from the citation network analysis that highly cited papers deal extensively with artificial intelligence, machine learning, and deep learning as they play a crucial role in cybersecurity research. Finally, through keyword analysis, it has been revealed that there is a transition in theme from intrusion detection and network security to newer themes such as artificial intelligence-based security, blockchain, Internet of Things (IoT), and behavioral cybersecurity. This study contributes to the literature by providing a comprehensive overview of the evolution and current state of cybersecurity research, while also identifying emerging trends and potential directions for future studies.
Cloud Computing Research (2010–2026): A Scopus-Based Bibliometric Analysis of Intellectual Structure and Topic Shifts Judijanto, Loso; Dewantara, Rizki
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.v4i01.2807

Abstract

The research aims at mapping the evolution of cloud computing studies from 2010 to 2026 through the analysis of academic literature using bibliometrics. This approach will provide information on the structure of the knowledge, major contributions, and the thematic trends within the area. In the present work, the bibliometric analysis is based on Scopus indexation. The research uses several types of analysis: co-authorship, citation, and keyword co-occurrence analyses. VOSviewer was chosen as the main bibliographic software for data mining. The analysis shows that the field is dominated by major researchers representing countries including the USA, China, and India, which indicates a partially fragmented cooperation among experts in the domain. Bibliometric analysis through citation shows that research papers in cloud computing architecture, Internet of things, and edge computing play a crucial role, as they set the basis of the topic and show the trend toward decentralization and integration in computing. In addition, the multidimensionality of research in cloud computing was analyzed through keywords, which revealed not only technical issues but also security, applications, green computing, and energy efficiency. This study contributes to the literature by providing a systematic overview of the development and current landscape of cloud computing research, offering valuable insights for researchers and practitioners in identifying future research directions and opportunities for interdisciplinary collaboration.
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.

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