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.
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
Artificial Intelligence in Industry 4.0: A Bibliometric Analysis of Research Trends
The integration of Artificial Intelligence (AI) into Industry 4.0 has revolutionized industrial processes through the implementation of intelligent automation, predictive analytics, and interconnected systems. This study conducts a comprehensive bibliometric analysis to map the research trends, thematic evolution, influential authors, and international collaboration networks within the domain of AI and Industry 4.0. Data were retrieved from the Scopus database, focusing on peer-reviewed journal articles published between 2013 and 2024. Using VOSviewer for data visualization, the analysis reveals five major thematic clusters, with “Industry 4.0,” “machine learning,” “Internet of Things,” and “smart manufacturing” as dominant keywords. The temporal mapping indicates a shift from core technical research toward more strategic themes such as sustainability, digital transformation, and Industry 5.0. Author collaboration networks show regional clusters with limited interdisciplinary integration, while country-level analysis highlights India, Germany, China, and Italy as major contributors. The findings emphasize the field's dynamic growth and underscore the need for more inclusive, cross-disciplinary, and globally connected research agendas to fully realize the potential of AI in the context of Industry 4.0.
Integration of Smart Building Technology in Green Building Concept to Improve Energy Efficiency
The integration of smart building technology within green building concepts offers a promising approach to enhancing energy efficiency. This qualitative study investigates the perspectives of five industry experts, including architects, engineers, and smart technology developers, on the challenges, opportunities, and best practices for combining these two approaches. Findings reveal that smart technologies, such as IoT-enabled sensors, adaptive systems, and real-time monitoring, significantly enhance energy optimization in green buildings. However, challenges such as high initial costs, interoperability issues, and limited user awareness persist. The study highlights the need for interdisciplinary collaboration, regulatory incentives, and user-centric solutions to ensure successful implementation. These insights contribute to a deeper understanding of the synergies between smart and green technologies, emphasizing their potential to transform sustainable building practices.
Copyright (c) 2025 Apriyanto, Deddy Hidayat https://creativecommons.org/licenses/by-sa/4.0
The Role of Wind Power Plant in Energy Transition towards Net Zero Emission
This literature review explores the role of wind power plants in the global transition towards zero emissions, synthesizing insights from 20 Scopus-indexed articles. The review highlights technological advancements in turbine design, offshore wind power, and energy storage solutions, which enhance wind power efficiency and reliability. It also examines the critical role of supportive policies, such as feed-in tariffs and power purchase agreements, in fostering wind energy growth. Environmental impacts, particularly regarding wildlife and ecosystem disruptions, are considered, alongside strategies to mitigate these effects. Furthermore, the economic viability of wind power is assessed, with a focus on cost reduction, job creation, and local economic development. Finally, the integration of wind power into existing energy grids is discussed, emphasizing the need for grid modernization and storage solutions. The review concludes that wind power is a central component of a zero-emissions energy system, though challenges remain in its widespread adoption and integration.
Copyright (c) 2025 Loso Judijanto, Ajub Ajulian ZM, Bambang Winardi https://creativecommons.org/licenses/by-sa/4.0
Implementation of Green IT-Based Cloud Computing for Energy Efficiency in Technology Companies
The growing demand for energy-efficient and sustainable solutions has positioned Green IT-based cloud computing as a pivotal strategy for technology companies aiming to balance operational efficiency with environmental stewardship. This study conducts a systematic literature review of 15 Scopus-indexed documents to explore the benefits, challenges, and strategies associated with the adoption of Green IT-based cloud computing. The findings reveal that these practices significantly enhance energy efficiency, reduce operational costs, and minimize carbon footprints. However, challenges such as high implementation costs, technological complexity, and intermittent renewable energy sources impede widespread adoption. Strategies including the use of AI and machine learning, collaborations with renewable energy providers, and the establishment of standardized policies are identified as effective solutions. This study contributes to the growing discourse on sustainable IT practices and provides a roadmap for technology companies aiming to integrate Green IT principles into their cloud computing operations.
Copyright (c) 2025 Loso Judijanto, Hamid Wijaya, Rima Ruktiari Ismail, Arnes Yuli Vandika https://creativecommons.org/licenses/by-sa/4.0
Field Measurement Results on the Presence of Rogue Base Stations (Fake BTS) in Urban Areas
This research examines the presence and technical characteristics of rogue base stations (illicit BTS) through empirical field assessments conducted in densely populated urban environments. By employing a spectrum analyzer alongside the G-NetTrack application across frequency ranges extending from 900 to 2300 MHz, the investigation revealed signal anomalies that are suggestive of unauthorized base station operations. The signals that were detected displayed abnormal intensities coupled with variable stability, abrupt shifts from 4G/5G networks to 2G networks, and discrepancies in cell ID and network identity parameters (MCC, MNC, LAC). These attributes imply coerced connections to illegitimate transmitters. The rogue BTS units were predominantly located in close proximity to governmental offices, commercial hubs, and public venues, thereby indicating a potentially strategic deployment approach. The results underscore the critical necessity for the implementation of early detection systems and inter-agency cooperation to alleviate the risks associated with communication interception. By furnishing technical indicators and empirical measurement data, this study contributes to the advancement of network security frameworks and informs policy formulation aimed at safeguarding cellular infrastructure.
Copyright (c) 2025 Mahadi Pardede https://creativecommons.org/licenses/by-sa/4.0
Economic Feasibility Analysis of Integrated Energy Implementation in Industrial Areas in Indonesia
This study analyzes the economic feasibility of implementing integrated energy systems in industrial areas in Indonesia. Using a quantitative approach, data was collected from 35 industrial areas through a Likert scale survey, and analyzed using SPSS version 26. The analysis focused on key variables such as investment costs, energy savings, payback period, government support, technical feasibility, and energy efficiency. The results revealed that while energy savings and government support were perceived as key benefits, high investment costs and long payback periods posed significant barriers to adoption. Additionally, the findings highlighted a strong correlation between technical feasibility and energy savings, underscoring the importance of infrastructure compatibility. The study suggests that reducing investment costs, improving access to capital, and enhancing government incentives are essential to promoting the adoption of integrated energy systems in Indonesia’s industrial sectors.
Copyright (c) 2025 Loso Judijanto, Arlinta Prasetian Dewi, Mohammad Gifari Sono https://creativecommons.org/licenses/by-sa/4.0
Digital Accounting Transformation as a Driver of Sustainable Business Model Innovation through Digital Ecosystems in Start-ups in Indonesia
This study explores the role of digital accounting transformation and digital ecosystems in driving sustainable business model innovation (SBMI) within Indonesian start-ups. Using a quantitative analysis with 85 samples, data were collected through a Likert scale survey and analyzed using SPSS Version 26. The results reveal that digital accounting transformation significantly influences SBMI, with a path coefficient of 0.52. Additionally, digital ecosystems were found to have a moderate positive effect on SBMI (path coefficient: 0.41). The study also identifies a mediating role of digital ecosystems, with an indirect effect of 0.26, showing that digital ecosystems amplify the impact of digital accounting transformation on SBMI. These findings underscore the importance of integrating digital technologies and ecosystems to foster innovation and sustainability in start-up businesses. The study provides practical insights for entrepreneurs and policymakers, highlighting the necessity of adopting digital tools and fostering ecosystem collaboration to achieve sustainable business growth.
Copyright (c) 2025 Loso Judijanto, Benyamen Minggus Melatnebar https://creativecommons.org/licenses/by-sa/4.0
Towards Digitalization of Performance Management as a Strategy for Improving Sustainable Education
This study explores the digitalization of performance management as a strategy to enhance sustainable education in Indonesia. Using a qualitative approach, data were gathered through in-depth interviews with five key informants, including policymakers, school administrators, educators, technology experts, and educational researchers. The findings reveal that digitalized systems offer benefits such as real-time monitoring, data transparency, and improved collaboration among educators. However, challenges persist, including infrastructural limitations, digital literacy gaps, and resistance to change. Strategies such as capacity building, pilot projects, and inclusive planning are recommended to address these barriers. The study underscores the potential of digital performance management to transform education sustainably, provided these challenges are systematically mitigated.
Copyright (c) 2025 Desri Arwen, Mohammad Gifari Sono https://creativecommons.org/licenses/by-sa/4.0
The Role of IoT-enabled Rehabilitation Centers in Supporting Drug Recovery Programs in Bali
The integration of the Internet of Things (IoT) in healthcare has transformed rehabilitation practices, particularly in addressing substance abuse. This study explores the role of IoT-enabled rehabilitation centers in supporting drug recovery programs in Bali using a qualitative approach. Data were collected through semi-structured interviews with three informants: a healthcare professional, a technology expert, and a recovering individual. The findings reveal that IoT enhances drug recovery by enabling continuous monitoring, personalized treatment, and improved patient engagement. However, challenges such as infrastructure limitations, high costs, privacy concerns, and cultural resistance hinder widespread adoption. Strategies including collaborative funding, capacity-building initiatives, and robust policy development are recommended to overcome these obstacles. This study underscores the potential of IoT in transforming drug rehabilitation and highlights the need for targeted strategies to address implementation challenges in Bali.
Copyright (c) 2025 Ismail Ismail, Felecia Felecia, Anisa Kurniatul Azizah, Diana Rahmawati https://creativecommons.org/licenses/by-sa/4.0
Cyber Patrol and AI-Based Investigations to Disrupt Online Drug Transactions in Indonesia
The rise of online drug transactions in Indonesia presents significant challenges for law enforcement due to the anonymity and rapid communication enabled by digital platforms. This study explores the use of cyber patrols and artificial intelligence (AI) in combating these illicit activities, employing a qualitative approach with interviews from four key informants: a cybercrime police officer, a cybersecurity expert, a policy analyst, and an academic. The findings reveal that while cyber patrols serve as an essential tool in identifying and disrupting drug trafficking activities, their effectiveness is often limited by technological and operational constraints. AI emerges as a transformative solution, enabling advanced data analysis and predictive capabilities, though its implementation faces hurdles such as legal ambiguity and resource limitations. The study concludes with actionable recommendations, including increased investment in technology, capacity building, regulatory reforms, and fostering public-private and international collaborations. These strategies are crucial for strengthening Indonesia’s capacity to combat online drug trafficking and ensure a safer digital ecosystem.
Smart Village Initiative for Drug-Free Communities: A Technology-Based Approach in West Java
The Smart Village Initiative in West Java leverages technology to combat drug-related issues and foster drug-free communities. This study employs a quantitative analysis with 150 respondents using a Likert scale (1–5), analyzed via Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings reveal that technological interventions significantly enhance drug prevention outcomes and community engagement, with community engagement mediating the relationship between technology and outcomes. The results demonstrate the initiative's effectiveness in promoting awareness, participation, and safety within communities. These findings underscore the potential of integrating technology and community-driven approaches to address complex social issues, offering a scalable model for other regions. Future research should explore long-term impacts and adaptations for diverse contexts.
The Impact of Low-Code and No-Code Development on IT Workforces and Software Engineering Practices in Indonesia
This study examines the impact of low-code and no-code (LCNC) development platforms on IT workforces and software engineering practices in Indonesia. Employing a quantitative approach with 50 respondents and data analysis using SPSS version 25, the research investigates the relationships between LCNC adoption and variables such as workforce productivity, skill adaptability, software quality, and development efficiency. The findings indicate that LCNC platforms significantly enhance workforce productivity and development efficiency, with moderate impacts on skill adaptability and mixed perceptions of software quality. These results suggest that LCNC platforms have the potential to revolutionize software development processes in Indonesia, provided that challenges related to skill adaptation and quality assurance are effectively addressed.
Copyright (c) 2024 Jasman Jasman https://creativecommons.org/licenses/by-sa/4.0
The Impact of ERP System Integration, User Training, and Management Support on Operational Efficiency in Mobile Coffee Businesses in Major Cities of Indonesia
This study investigates the impact of Enterprise Resource Planning (ERP) system integration, user training, and management support on operational efficiency in mobile coffee businesses across major cities in Indonesia. A quantitative approach was adopted, involving 65 business owners and managers who provided insights into their ERP adoption processes. Data were collected using structured questionnaires with a Likert scale of 1 to 5 and analyzed using SPSS version 26. The findings revealed that ERP system integration, user training, and management support each significantly and positively impact operational efficiency. ERP system integration and management support were the strongest predictors of improved operational performance. These results suggest mobile coffee businesses can optimize their operations by leveraging ERP systems, enhancing employee training, and ensuring continuous management support. The study provides valuable recommendations for business owners seeking to enhance their operational strategies in a competitive market.
Copyright (c) 2024 Haryono Haryono, Indah Epriliati, Mochammad Muchid, Eko Prasetyo https://creativecommons.org/licenses/by-sa/4.0
Digital Transformation and its Impact on Enterprise Systems in the Manufacturing Sector
Digital transformation has revolutionized the manufacturing sector by enhancing the capabilities of enterprise systems. This study investigates the impact of digital transformation initiatives on operational efficiency, system flexibility, and decision-making capabilities within manufacturing enterprises. A quantitative approach was employed, involving 60 manufacturing enterprises and using a structured questionnaire based on a Likert scale (1-5). The data were analyzed with SPSS version 25, revealing significant positive relationships between digital transformation and the performance of enterprise systems. Regression analysis showed that digital transformation initiatives explained 42% of the variance in operational efficiency, 34% in system flexibility, and 38% in decision-making capabilities. The findings provide valuable insights into the transformative potential of digital technologies and highlight practical strategies for overcoming implementation challenges. This study contributes to the understanding of digital transformation's role in optimizing enterprise systems within the manufacturing sector.
Copyright (c) 2024 Loso Judijanto, Arnes Yuli Vandika, Zulkifli, Syawal Aprian https://creativecommons.org/licenses/by-sa/4.0
Development of a Data-Based Customer Relationship Management (CRM) Model to Increase Customer Loyalty in the E-commerce Sector
The rapid growth of the e-commerce sector has intensified the need for effective Customer Relationship Management (CRM) systems to enhance customer loyalty. This study aims to develop a data-based CRM model tailored for the e-commerce industry, emphasizing the integration of personalized communication, data-driven insights, and responsiveness. A quantitative approach was employed, with data collected from 60 respondents using a Likert scale of 1 to 5. The data were analyzed using SPSS version 25. Findings reveal significant positive relationships between CRM components and customer loyalty, with data-driven insights emerging as the most influential predictor. This study contributes to the literature by providing actionable insights and a validated framework for leveraging CRM practices in e-commerce. The findings underscore the importance of data integration, personalization, and responsive customer engagement to foster loyalty and gain a competitive advantage in the evolving digital marketplace.
Copyright (c) 2024 Loso Judijanto, Heppy Agustiana Vidyastuti, Rini Hadiyati, Mesak Yandri Masela https://creativecommons.org/licenses/by-sa/4.0
The Effect of Business Intelligence System Implementation on Organizational Performance in the Digital Age
The implementation of Business Intelligence systems has emerged as one of the key strategies to enhance organizational performance in the digital era. This study systematically reviews 17 peer-reviewed articles from the Scopus database to examine the impact of BI systems on various performance dimensions, including operational efficiency, decision-making, financial outcomes, and customer satisfaction. Results indicated that BI systems enhance organizational agility and competitiveness, while data quality, management support, user training, and strong IT infrastructure were among the factors that drive their success. Challenges such as high implementation costs, resistance to change, and integration complexities remain. Emerging trends in AI integration, cloud-based solutions, and real-time analytics reflect the evolving possibilities of BI systems. This research contributes to the literature by synthesizing critical insights and offering actionable recommendations for practitioners and researchers aiming to leverage BI systems for sustained organizational growth.
Copyright (c) 2024 Loso Judijanto, Zulkifli, Yusniar https://creativecommons.org/licenses/by-sa/4.0
Use of Artificial Intelligence in Operational Efficiency and Business Management Strategic
Artificial Intelligence (AI) has emerged as a transformative technology, reshaping operational efficiencies and strategic business management across industries. This study employs a bibliometric analysis using VOSviewer to explore the intellectual structure, global collaboration, and thematic trends in AI research from 2000 to 2024. The findings reveal AI’s pivotal role in enhancing operational processes, particularly in cost reduction, efficiency improvement, and data-driven decision-making. Furthermore, AI’s integration into diverse fields such as healthcare, energy management, and cybersecurity underscores its multidisciplinary impact. The visualizations highlight the strong global collaboration among nations, with China, India, and the United States as major contributors to AI research. Despite these advancements, challenges such as ethical concerns, data privacy, and workforce displacement persist. This study emphasizes the need for ethical frameworks, workforce reskilling, and robust international cooperation to maximize AI's benefits while mitigating its challenges. By mapping current trends and identifying future directions, this research contributes to a deeper understanding of AI’s transformative potential in operational and strategic domains.
Copyright (c) 2024 Loso Judijanto, Ahmad Zaelani Adnan, Gilang Pranajasakti, Arnes Yuli Vandika, Wahyuni Sri Astutik https://creativecommons.org/licenses/by-sa/4.0
Mapping the Cybersecurity Research through Bibliometric Analysis
This bibliometric analysis explores the evolution and global landscape of cybersecurity research from 2010 to 2024. Utilizing data sourced exclusively from Scopus and analyzed through VOSviewer, this study identifies significant trends, key themes, and the dynamics of international collaboration within the field. The findings reveal a notable increase in the volume of publications over the years, highlighting a shift from basic security measures towards the integration of advanced technologies such as artificial intelligence, the Internet of Things (IoT), and blockchain. The study also maps the dense network of international collaborations, with the United States, China, India, Germany, and the United Kingdom emerging as central nodes. This analysis not only reflects the increasing complexity of cyber threats but also the global effort to develop proactive and dynamic defense mechanisms. The results emphasize the need for continuous innovation and expanded international cooperation to address the challenges posed by rapidly evolving cyber threats. Future research should consider more interdisciplinary approaches and a wider range of databases to capture the full spectrum of cybersecurity research.
Copyright (c) 2024 Loso Judijanto, Endrixs Endrianto , Arnes Yuli Vandika https://creativecommons.org/licenses/by-sa/4.0
Design of a Desktop Java-Based Introduction to Basic Electronic Components
The development of information technology has had a positive impact on the world of education, one of which is to simplify the learning process. In the field of electronics, understanding basic components is an important foundation for students and practitioners. This Java Desktop-based application design aims to introduce basic electronic components with an easy-to-understand interactive interface. In this software, it contains various information about basic electronic components such as Resistors, Capacitors, Transistors, Diodes, Push Buttons, which is equipped with detailed information about the specifications and basic functions of various electronic components. In addition, the app comes with visual illustrations in the form of images that support the understanding of physical and component symbols. To explain how components in a series work, the app presents interactive animations to clarify the concept of how each component works and functions. During the creation and testing of 5 times, which was carried out using 5 different basic components resulting in different circuits and explanations of how to work, these results then obtained data from these 5 components which were then entered into the MySQL Database. The data present in the Driver Database is displayed using the Desktop-Based Java Programming Language.
Copyright (c) 2024 Ulil Albab, Muhammad Bakhar, Qirom https://creativecommons.org/licenses/by-sa/4.0