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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 120 Documents
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A Bibliometric Review of Agile Methodologies in Information Systems Development Judijanto, Loso; Triwiyatno, Aris; Winardi, Bambang
West Science Information System and Technology Vol. 3 No. 02 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i02.2167

Abstract

This study presents a comprehensive bibliometric review of scholarly literature on agile methodologies within the context of information systems (IS) development, covering publications from 2000 to 2025. Using the Scopus database as the primary source, a total of relevant articles, conference papers, and reviews were analyzed through performance analysis and science mapping techniques with VOSviewer. The findings reveal that information systems development, information management, and software engineering are the most central and frequently occurring themes, acting as conceptual anchors for the field. Co-occurrence analysis identifies three thematic clusters: (1) technological and infrastructure dimensions, focusing on computational tools, artificial intelligence, and decision support systems; (2) organizational and managerial aspects, encompassing knowledge management, risk management, and user participation; and (3) software engineering and design methodologies, including agile frameworks and cross-domain applications. Overlay visualization indicates a thematic shift from early technical foundations toward broader socio-technical and strategic considerations, while density mapping highlights emerging areas such as agile manufacturing systems and outsourcing. Co-authorship and country collaboration networks show strong global research connectivity, with the United States, United Kingdom, and China leading in output and collaboration influence. The study contributes to both theory and practice by providing a structured knowledge map that integrates technical, organizational, and strategic perspectives of agile IS development, offering guidance for future research and practical implementation. Limitations include reliance on a single database, keyword-based search constraints, and the quantitative nature of bibliometric methods.
The Use of Business Intelligence to Support Strategic Decision Making in Digital Retail Companies in Indonesia Soelistianto, Farida Arinie; Sono, Mohammad Gifari
West Science Information System and Technology Vol. 3 No. 02 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i02.2168

Abstract

This study explores the role of Business Intelligence (BI) in supporting strategic decision-making within digital retail companies in Indonesia. In an increasingly competitive digital retail environment, BI enables managers to transform raw data into actionable insights for informed decision-making. Using a qualitative approach, in-depth interviews were conducted with five informants, including managers and decision-makers from various digital retail companies. The findings reveal that BI enhances decision quality, provides operational efficiency, and supports proactive strategies by offering accurate, real-time information on customer behavior, market trends, and business performance. However, challenges such as system complexity, data integration issues, and limited analytical skills pose barriers to effective BI utilization. This study contributes to a deeper understanding of BI implementation in the Indonesian digital retail sector and offers practical insights for managers aiming to leverage BI for strategic advantage.
Empirical Study of Information Systems Risk Management in Technology Startups in Indonesia Kaaffah, Faiz Muqorrir; Karnoto, Karnoto; Winardi, Bambang
West Science Information System and Technology Vol. 3 No. 02 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i02.2169

Abstract

This study investigates the influence of Information System Risk Management (ISRM) and IT Governance on the performance of technology startups in Indonesia, with Digital Innovation serving as a mediating variable. A quantitative approach was employed, collecting data from 140 respondents using a 5-point Likert scale questionnaire. The data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results indicate that both ISRM and IT Governance have significant positive effects on digital innovation, which in turn positively impacts startup performance. Additionally, digital innovation partially mediates the relationship between ISRM, IT Governance, and startup performance. These findings highlight that effective risk management and IT governance, combined with digital innovation, are essential for enhancing the performance and competitiveness of technology startups in Indonesia.
Smart Library Management System Using Face Recognition and RFID Based on Flask: Case Study of BBPPMPV BOE Malang Budiarti, Ambar; Farida Arinie Soelistianto; Rachmad Saptono
West Science Information System and Technology Vol. 3 No. 02 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i02.2180

Abstract

This research aims to develop a Flask-based Smart Library system integrated with face recognition technology, RFID, and automated WhatsApp notifications to support library services at BBPPMPV BOE Malang. The face recognition system employs two methods: Local Binary Pattern Histogram (LBPH) and Convolutional Neural Network (CNN) for comparison. Testing results show that the LBPH method achieved a training accuracy of 98.77%, but its real-world recognition accuracy dropped to 39.77%. In contrast, the CNN method achieved a lower training accuracy of 69.11% but demonstrated more stable performance in real conditions with an average accuracy of 76.87%. RFID technology is implemented to automate the book borrowing and returning process through website integration, resulting in a time efficiency improvement of up to 74% compared to manual systems. Additionally, the system features real-time notification via WhatsApp using Venom Bot, which successfully delivers book transaction details accurately and consistently with the database records. The system is built using a Raspberry Pi 4 and the Flask framework and is accessed through a web-based interface. The implementation results show that the system significantly enhances the efficiency, security, and convenience of library services.
Big Data Analytics in Decision Making: A Bibliometric Mapping of Scientific Contributions Judijanto, Loso
West Science Information System and Technology Vol. 3 No. 02 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i02.2187

Abstract

This study aims to map the intellectual, conceptual, and collaborative landscape of scientific research on Big Data Analytics (BDA) in the context of decision-making using a bibliometric approach. Drawing data from the Scopus database and analyzing it through VOSviewer, the study identifies publication trends, influential authors, high-impact journals, keyword co-occurrence patterns, and international collaboration networks. The results reveal that "big data" serves as the dominant thematic core, often interconnected with concepts such as data analytics, data mining, information management, and artificial intelligence. Temporal and density visualizations indicate a shift in research focus from traditional data management toward intelligent decision support systems and real-time analytics. Additionally, countries such as China, the United States, and the United Kingdom emerge as central actors in shaping global collaboration. The study contributes to the theoretical understanding of the field by highlighting its interdisciplinary nature and provides practical insights for policymakers, academics, and practitioners seeking to leverage BDA for more effective, data-driven decision-making. Limitations and directions for future research are also discussed.
Implementation of Blockchain Technology in Improving Transparency of Public Services: A Case Study on Government Service Delivery in Indonesia Judijanto, Loso
West Science Information System and Technology Vol. 1 No. 02 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i02.477

Abstract

This research investigates the implementation of blockchain technology in enhancing the transparency of government service delivery in Indonesia through a quantitative analysis. Utilizing a mixed-methods approach, including regression analysis, descriptive statistics, and demographic analysis, the study explores the perceptions of government officials, service providers, and citizens regarding the impact of blockchain adoption. The findings reveal overwhelmingly positive perceptions, with statistically significant relationships identified between blockchain adoption and perceived transparency, user satisfaction, reduced incidents of corruption or fraud, and improved time and cost efficiency. The demographic analysis highlights variations in perceptions across different stakeholder groups, emphasizing the need for tailored approaches in policy formulation. These results contribute to the evolving discourse on blockchain technology in the public sector, providing valuable insights for policymakers and practitioners.
Analysis of Reliability, Transaction Speed, and User Experience on Information System Integration in E-commerce Business in Indonesia Judijanto, Loso; Mohammad, Wily; Purnamasari, Etika; Muthmainah, Hanifah Nurul
West Science Information System and Technology Vol. 1 No. 02 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i02.478

Abstract

This research investigates the dynamics of information system integration in the context of e-commerce businesses in Indonesia, focusing on the critical factors of reliability, transaction speed, and user experience. Employing a quantitative approach, the study utilizes Structural Equation Modeling with Partial Least Squares (SEM-PLS) to analyze data from a sample of 175 participants. The measurement model assessment reveals robust factor loadings and reliability measures, establishing the foundation for further analysis. Discriminant validity analysis highlights the distinctiveness of the constructs, though attention to refining measurement items for user experience is recommended. The model fit assessment indicates that the proposed structural model aligns well with the observed data. The structural model analysis uncovers significant positive relationships between reliability, transaction speed, user experience, and information system integration. Furthermore, the R-Square values underscore the substantial impact of these factors, explaining approximately 60.2% of the variance in information system integration. The findings provide valuable insights for businesses and policymakers, emphasizing the need to prioritize reliability, transaction speed, and user experience to enhance information system integration in Indonesian e-commerce.
Analysis of Threat Detection, Prevention Strategies, and Cyber Risk Management for Computer Network Security in Government Information Systems in Indonesia Judijanto, Loso; Rahardian, Rifky Lana; Muthmainah, Hanifah Nurul; Erkamim, Moh.
West Science Information System and Technology Vol. 1 No. 02 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i02.479

Abstract

This research investigates the landscape of threat detection, prevention strategies, and cyber risk management within Government Information Systems in Indonesia. A quantitative approach, employing Structural Equation Modeling - Partial Least Squares (SEM-PLS), was utilized to analyze data collected from 150 participants across diverse government institutions. The study assessed perceived cyber threats, the effectiveness of threat detection mechanisms, prevention strategy implementation, and cyber risk management practices. Findings revealed significant regional variations in threat perception and underscored the importance of both technological and human-centric approaches. The Structural Equation Model demonstrated satisfactory fit, with notable path coefficients indicating strong relationships among latent variables. The study contributes valuable insights to cybersecurity practices in the Indonesian government sector, informing policymakers and practitioners on strategies to enhance network security resilience.
Design an Inventory Information System on General Administration Section of Polytechnic Harapan Bersama Rakhman, Arif; Bakhar, Muhamad; Sutanto, Achmad
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.704

Abstract

The inventory information system used The general administration department still uses a manual system. Current systems use Microsoft Office Excel which causes the process of searching inventory data to be slow. Therefore, this research aims to make the system more efficient, easy to use, and can speed up information access and facilitate data or file management. The inventory system is very effective and efficient to use in general section units, especially logistics sub-divisions because the management of goods starting from procurement, inventory and transactions is recorded accurately. It is hoped that with this system, the process of processing university logistics goods data can run smoothly, quickly, with minimal errors, and information needs about university logistics can be obtained easily if at any time needed. The inventory system is very effective and efficient to use in general section units, especially logistics sub-divisions because the management of goods starting from procurement, inventory and transactions is recorded accurately.
Business Model Transformation and Information Technology Use on the Quality of Accounting Information Systems in MSMEs in Indonesia Yahya, Lucky Mahesa
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.801

Abstract

This research investigates the impact of business model transformation (BMT) and information technology utilization (ITU) on the quality of accounting information systems (QAIS) in Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. A quantitative approach is employed, with data collected through a survey of MSMEs across various industries. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) is used for data analysis. The findings reveal significant positive relationships between BMT, ITU, and QAIS. Business model transformation and IT utilization are found to significantly enhance the quality of accounting information systems in Indonesian MSMEs. These results highlight the importance of innovative business practices and effective technology adoption in improving financial management processes within MSMEs, providing valuable insights for practitioners, policymakers, and researchers.

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