West Science Information System and Technology
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.
The Influence of Equitable Instructional Practices and Teachers’ Pedagogical Competence on Student Learning Engagement in Inclusive Schools in Indonesia
This study investigates the effect of equitable teaching practices and teachers' pedagogical competence on student engagement in inclusive schools in Indonesia. A quantitative approach was adopted, with data collected from 225 respondents using a Likert-scale survey. The study examines the relationships between equitable teaching practices, pedagogical competence, and student engagement in inclusive classrooms. Data analysis was conducted using SPSS version 25, including descriptive statistics, correlation analysis, and regression analysis. The findings indicate that both equitable teaching practices and teachers' pedagogical competence significantly predict student engagement, with equitable teaching practices having a stronger influence. The study suggests that inclusive teaching strategies and enhancing teachers’ pedagogical competence are essential for fostering student engagement in inclusive classrooms. These findings provide valuable insights for educators and policymakers working to improve inclusive education practices in Indonesia.
Copyright (c) 2026 Istiarsyah Istiarsyah, Dela Devita, Eka Yuli Astuti, Pelita Hayati, Irda Rafika https://creativecommons.org/licenses/by-sa/4.0
Software Development Methodologies (2000–2026): A Scopus-Based Bibliometric Mapping of Scholarly Output and Thematic Evolution
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.
Copyright (c) 2026 Loso Judijanto https://creativecommons.org/licenses/by-sa/4.0
Database Management Systems (2000–2026): A Scopus-Based Bibliometric Review of Research Streams and Key Contributor
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.
Data Privacy Studies (2010–2026): A Scopus-Based Bibliometric Analysis of Research Hotspots and Citation Dynamics
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.
Human–Computer Interaction (2000–2026): Scopus-Based Bibliometric Mapping of Core Topics and Methodological Trends
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.
Business Intelligence Research (2010–2026): A Scopus-Based Bibliometric Assessment of Publication Growth and Conceptual Development
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.
Publication Growth and Conceptual Development
Copyright (c) 2026 Loso Judijanto, Sopyan Sopyan, Rahmawati Rahmawati, Nikem Kurnia Ningsih, Tiwuk Herawati https://creativecommons.org/licenses/by-sa/4.0
Decision Support Systems Literature (2000–2026): A Scopus-Based Bibliometric Study of Research Patterns and Emerging Themes
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.
Enterprise Resource Planning Systems (2000–2026): Scopus-Based Bibliometric Mapping of Knowledge Domains and Influential Studies
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.
Internet of Things Scholarship (2010–2026): A Scopus-Based Bibliometric Review of Thematic Clusters and Research Fronts
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.
Copyright (c) 2026 Loso Judijanto, Aris Triwiyatno, Bambang Winardi https://creativecommons.org/licenses/by-sa/4.0
Cloud Computing Research (2010–2026): A Scopus-Based Bibliometric Analysis of Intellectual Structure and Topic Shifts
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.
Copyright (c) 2026 Loso Judijanto, Rizki Dewantara https://creativecommons.org/licenses/by-sa/4.0
A Scopus-Based Bibliometric Landscape of Cybersecurity Research (2000–2026): Trends, Collaboration, and Research Directions
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.
The Effect of System Quality and Information Quality on User Satisfaction with Academic Information Systems
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.
Copyright (c) 2026 Hildawati Hildawati, Ilham Akbar Bunyamin, Paramita Andiani https://creativecommons.org/licenses/by-sa/4.0
The Effect of System Security and User Trust on Online Transaction Decisions in E Commerce
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.
Copyright (c) 2026 Bambang Winardi, Ajub Ajulian ZM, Enda Wista Sinuraya https://creativecommons.org/licenses/by-sa/4.0
The Effect of Perceived Ease of Use and Perceived Usefulness on Intention to Use Mobile Banking Apps
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.
Copyright (c) 2026 Andriya Risdwiyanto, Bambang Irjanto https://creativecommons.org/licenses/by-sa/4.0
The Role of Digital Technology in Realizing the Sustainable Development Goals (SDGs)
Digital technology has increasingly become a strategic instrument in accelerating the achievement of the Sustainable Development Goals (SDGs), particularly in developing countries such as Indonesia. This study aims to examine the role of digital technology in supporting the achievement of SDGs in Indonesia using a quantitative research approach. Data were collected from 85 respondents through a structured questionnaire measured using a Likert scale. The collected data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 25, employing descriptive statistics, validity and reliability testing, and simple linear regression analysis. The results indicate that digital technology has a positive and statistically significant effect on SDG achievement, with digital technology explaining 50.7% of the variance in sustainable development outcomes. These findings suggest that increased utilization of digital platforms and systems contributes to improved economic efficiency, social inclusion, and sustainable development practices. This study provides empirical evidence on the importance of digital transformation in achieving SDGs and offers practical insights for policymakers and stakeholders to strengthen digital-based development strategies in Indonesia
Copyright (c) 2025 Farida Arinie Soelistianto, Hanifah Nurul Muthmainah https://creativecommons.org/licenses/by-sa/4.0
Application of Business Intelligence in Enterprise Systems to Support Strategic Decision Making
This study investigates the application of Business Intelligence (BI) in corporate systems and its role in supporting strategic decision making in Indonesian companies. Using a quantitative research approach, data were collected from 75 corporate employees who actively use BI-based systems and are involved in managerial or strategic roles. The research instrument employed a Likert scale to measure perceptions of BI application and strategic decision-making effectiveness. Data analysis was conducted using the Statistical Package for the Social Sciences (SPSS) version 25, including descriptive statistics, validity and reliability tests, and regression analysis. The results indicate that Business Intelligence application has a positive and significant effect on strategic decision making, with BI explaining 45% of the variance in decision-making effectiveness. Key aspects such as data quality, analytical capability, and system usability were found to play a crucial role in enhancing decision quality, timeliness, and managerial confidence. The findings provide empirical evidence that Business Intelligence functions as a strategic resource that supports data-driven management and improves organizational competitiveness in the Indonesian corporate context.
Copyright (c) 2025 Abrar Hiswara https://creativecommons.org/licenses/by-sa/4.0
The Role of Artificial Intelligence in the Digital Transformation of Education in the Era of Society 5.0
The rapid advancement of digital technology has accelerated the transformation of education systems, particularly through the adoption of artificial intelligence (AI) in the era of Society 5.0. This study aims to analyze the role of artificial intelligence in driving the digital transformation of education in Indonesia. A quantitative research approach was employed using survey data collected from 85 respondents involved in the education sector. Data were gathered through a structured questionnaire using a Likert scale and analyzed with SPSS version 25. The analysis included descriptive statistics, validity and reliability testing, and simple linear regression. The results indicate that artificial intelligence has a positive and statistically significant effect on the digital transformation of education. The regression analysis shows that AI explains 55.1% of the variance in digital transformation, highlighting its substantial contribution to improving learning personalization, administrative efficiency, and data-driven decision-making in educational institutions. Despite these positive outcomes, challenges related to digital infrastructure and human resource readiness remain. This study provides empirical evidence supporting the strategic importance of artificial intelligence in advancing educational transformation and offers insights for policymakers and educational institutions in aligning digital education strategies with the goals of Society 5.0 in Indonesia.
Copyright (c) 2025 Husaini Husaini, Diana Suksesiwaty Lubis, Laila Qadriah https://creativecommons.org/licenses/by-sa/4.0
Blockchain Implementation for Digital Financial Transaction Data Security
The rapid expansion of digital financial services in Indonesia has increased the importance of ensuring secure, transparent, and reliable transaction data management. Traditional centralized financial systems face challenges related to data breaches, fraud, and system vulnerability, prompting the need for more advanced security technologies. This study examines the implementation of blockchain technology in enhancing the security of digital financial transaction data in Indonesia. A quantitative research approach was employed using a sample of 65 respondents who are users and practitioners of digital financial services. Data were collected through a structured questionnaire measured on a five-point Likert scale and analyzed using SPSS version 25. The results of simple linear regression analysis indicate that blockchain implementation has a positive and significant effect on digital financial transaction data security. Blockchain implementation explains 54.9% of the variance in data security, highlighting its substantial role in improving confidentiality, data integrity, transparency, and fraud prevention. The findings provide empirical support for the adoption of blockchain technology as a strategic solution to strengthen digital financial system security in Indonesia.
Copyright (c) 2025 Sayed Achmady https://creativecommons.org/licenses/by-sa/4.0
Designing an Object Detection System as an Assistive Device for the Visually Impaired Based on Yolo V10 with Dual Camera
This research develops an object detection system to assist visually impaired individuals in navigating dynamic environments, including roads and indoor spaces. The system employs YOLO version 10 (YOLOv10) with dual cameras and provides audio output through a speaker. Using the Research and Development (R&D) method, the system detects six object classes—person, car, motorcycle, bicycle, table, and chair—in real-time. Testing was conducted with variations in distance, lighting conditions, delay, and direct trials with visually impaired users. Results show an effective detection range of up to 5 meters. Under bright indoor lighting, the average error was 8.97%, while outdoor morning conditions yielded 3.95%. In low-light and dark conditions, accuracy decreased significantly, with errors ranging from 60.33% to 100%. Detection delay ranged from 4.3 to 7.4 seconds. The system achieved a Macro F1-Score of 0.74, with the highest performance for cars (0.92) and the lowest for persons (0.62). Direct trials with five visually impaired participants showed an average accuracy of 92.58% and delays around 4.63 seconds. The system effectively delivers precise audio information, helping users recognize objects in front and behind, thereby enhancing safety and confidence during navigation.
Copyright (c) 2025 Amalia Nabila, Farida Arinie Soelistianto, Isa Mahfudi https://creativecommons.org/licenses/by-sa/4.0
Big Data Analytics in Decision Making: A Bibliometric Mapping of Scientific Contributions
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.
Copyright (c) 2025 Loso Judijanto https://creativecommons.org/licenses/by-sa/4.0
Smart Library Management System Using Face Recognition and RFID Based on Flask: Case Study of BBPPMPV BOE Malang
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.
Copyright (c) 2025 Ambar Budiarti, Farida Arinie Soelistianto, Rachmad Saptono https://creativecommons.org/licenses/by-sa/4.0
Empirical Study of Information Systems Risk Management in Technology Startups in Indonesia
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.
Copyright (c) 2025 Faiz Muqorrir Kaaffah, Kartono, Bambang Winardi https://creativecommons.org/licenses/by-sa/4.0
The Use of Business Intelligence to Support Strategic Decision Making in Digital Retail Companies in Indonesia
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.
Copyright (c) 2025 Farida Arinie Soelistianto, Mohammad Gifari Sono https://creativecommons.org/licenses/by-sa/4.0
A Bibliometric Review of Agile Methodologies in Information Systems Development
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.
Copyright (c) 2025 Loso Judijanto, Aris Triwiyatno, Bambang Winardi https://creativecommons.org/licenses/by-sa/4.0
The Use of ERP in Supporting Managerial Decision Making in Logistics Companies in Cikarang
This study investigates the role of Enterprise Resource Planning (ERP) systems in supporting managerial decision-making within logistics companies in Cikarang, Indonesia. As logistics operations become increasingly complex, the demand for integrated systems that provide real-time information and enhance decision quality has grown significantly. A quantitative research method was applied, involving 30 respondents selected from logistics companies actively using ERP. Data were collected using a 5-point Likert scale questionnaire and analyzed with SPSS version 25. The results of descriptive analysis show that respondents perceived ERP positively, with high mean values for both ERP usage (4.12) and managerial decision-making (4.25). Validity and reliability tests confirmed that all research indicators were valid and reliable. Regression analysis revealed that ERP usage has a positive and significant effect on managerial decision-making (β = 0.642, t = 5.734, p < 0.05), explaining 41.2% of the variance in decision-making effectiveness. These findings demonstrate that ERP contributes substantially to enhancing decision quality, timeliness, and strategic planning in logistics firms. The study concludes that while ERP is a vital enabler of decision-making, its success also depends on complementary factors such as managerial competence, organizational culture, and training.
Copyright (c) 2025 Mohammad Gifari Sono, Christine Riani Elisabeth, Husaini Husaini https://creativecommons.org/licenses/by-sa/4.0
Implementation of a Cloud-Based CRM System to Improve Customer Loyalty in Digital Startups in Indonesia
The rapid growth of digital startups in Indonesia has created a highly competitive market where customer loyalty is critical for long-term sustainability. This study explores the implementation of cloud-based Customer Relationship Management (CRM) systems as a strategic tool to enhance customer loyalty in digital startups. Using a qualitative research approach, data were collected through semi-structured interviews with five informants, including founders, managers, and IT specialists from startups in the e-commerce, fintech, and digital services sectors. The findings reveal that cloud-based CRM systems provide significant benefits, including improved customer engagement, real-time responsiveness, personalized communication, and scalability to support business growth. However, the study also identifies challenges related to data security, staff readiness, and system integration. The results highlight that cloud-based CRM is not only a technological tool but also a strategic enabler that helps startups build competitive advantage through customer-centric approaches. This research contributes to the understanding of CRM adoption in emerging markets, offering practical insights for digital entrepreneurs in Indonesia to strengthen customer loyalty.
Copyright (c) 2025 Agus Purwanto, Anggun Nugroho, Lanang Mustika Bahy, Joko Santoso, Shofwan Hanief https://creativecommons.org/licenses/by-sa/4.0
Safe Gaming Analytics: Gender- and Age-Aware Machine Learning Using XGBoost for Game Player Engagement Prediction
The rapid growth of online gaming has created both opportunities and challenges, particularly regarding the safe participation of diverse demographic groups. While prior research has predominantly focused on monetization and retention, there is limited work on predictive analytics that promotes healthy gaming habits. (Introduction) This study presents a safe gaming analytics framework that applies a gender- and age-aware machine learning approach to predict player engagement levels. (Methods) Using Extreme Gradient Boosting (XGBoost) and a dataset of 8,095 online game players from Asia as a case study, the model achieved strong predictive performance (Accuracy = 0.908, Precision = 0.910, Recall = 0.899, F1-score = 0.904). Feature importance analysis identified weekly playtime, session frequency, and average session duration as the most influential predictors of engagement. (Results) Gender- and age-based analysis revealed distinct behavioral patterns, with younger male players displaying higher playtime intensity. These findings provide actionable insights for game developers, educators, and policymakers to design and implement safe gaming strategies that balance entertainment with digital well-being. (Discussion & Conclusion) The proposed framework can be adapted to various contexts beyond the present case study, supporting responsible and inclusive online gaming environments.
Copyright (c) 2024 Hartatik https://creativecommons.org/licenses/by-sa/4.0
Optimization of Deed Printing Services Through the AKUDICARI System at the Population and Civil Registration Office of Badung Regency
AKUDICARI system is a digital innovation designed to facilitate deed printing services in Badung Regency by providing efficient and transparent online access for the public. The implementation of this system has increased user satisfaction through ease of access, acceleration of the administrative process. This system is designed with the aim that data archives owned by the public can be accessed in real-time. However, there are still significant challenges, especially related to the digital literacy gap and limited technological infrastructure in several areas, especially in rural areas. This study aims to analyze the optimization of services using the AKUDICARI website in civil registration. The method used is a qualitative literature study that analyzes findings from several journals. Efforts to improve digital education, improve internet networks, and develop responsive and inclusive system features are needed to optimize this service. The results of the study indicate that the AKUDICARI system has the potential to become an effective and sustainable digital population administration service model in supporting the digital transformation of government and making people's time more efficient at DISDUKCAPIL.
Badung Population and Civil Registry Office
Copyright (c) 2025 Ni Kadek Sukma Priyanti, Ni Putu Anik Prabawati https://creativecommons.org/licenses/by-sa/4.0
Digital Transformation of Deed Printing Services Through the Population Administration Information System (SIAK) at the Population and Civil Registration Office of Badung Regency
The digitization of population administration services has become an urgent need to enhance the effectiveness and efficiency of public services in today’s information technology era. The Population Administration Information System (SIAK) implemented in Badung Regency demonstrates significant changes in the process of printing certificates and other population documents, with technology utilization that facilitates access and accelerates service completion. The implementation of various innovations such as the integrated service package “Badung Aku Sapa” and the mobile service “Go Laying Adminduk” has successfully increased inclusivity and convenience for the community in managing population administration, especially for vulnerable groups such as the elderly and people with disabilities. Efforts to develop smart villages and the implementation of Digital Population Identity (IKD) further strengthen service access down to the village level, reducing geographical and social barriers. However, this digital transformation process also faces various challenges, ranging from limited network infrastructure, low digital literacy among some communities, to data security issues and cultural resistance to new technology. Addressing these challenges through strengthening human resources, community education, and the development of reliable security systems are important aspects in supporting the sustainability of digitization in population administration services. Overall, the implementation of SIAK in Badung Regency illustrates an effective and inclusive model of public service digitization, which can serve as a reference for other local governments in optimizing modern and sustainable population administration services.
Population Administration Information System (SIAK)
Copyright (c) 2025 Komang Vriska Tiara Mareta, I Dewa Ayu Putri Wirantari https://creativecommons.org/licenses/by-sa/4.0
The Effect of Temperature and Weather Conditions on the Performance of Photovoltaic Modules in Tropical Indonesia
This study explores the effect of temperature and weather conditions on the performance of photovoltaic (PV) modules in tropical Indonesia, utilizing a qualitative approach with interviews from five solar energy professionals. The research identifies key environmental factors such as high temperatures, humidity, and rainfall as significant influences on PV module efficiency. Participants noted that elevated temperatures reduce energy output by causing thermal losses, while high humidity and rainfall lead to dust accumulation and reduced sunlight exposure, further affecting efficiency. Additionally, challenges related to corrosion and dust accumulation were highlighted, particularly in coastal and inland regions. The study also suggests various strategies, including the use of anti-reflective coatings, cooling systems, and optimal panel placement, to mitigate these effects. Regional variations in climate necessitate site-specific maintenance and design strategies. This research provides important insights into optimizing PV system performance in tropical climates and emphasizes the need for tailored approaches in PV design and maintenance.
Copyright (c) 2025 Ajub Ajulian ZM, Enda Wista Sinuraya, Bambang Winardi https://creativecommons.org/licenses/by-sa/4.0