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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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Design of Cashier Information System and Sales of Jaya Putra 04 Store Based on Website Using Waterfall Method Bakhar, Muhamad; Muttaqin, Zaenal; Albab, Ulil
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1430

Abstract

In the digital era, the need for effective and efficient information systems has become increasingly important to support business operations. This study aims to design and develop a web-based cashier information system for Toko Jaya Putra 04 using the Waterfall method. The system is designed to address challenges in manual transactions, such as long queues, recording errors, and lack of stock visibility. The research stages include requirements analysis, system design using Unified Modeling Language (UML), implementation with PHP programming language and MySQL database, testing using the Black Box Testing method, and system maintenance. The results show that this cashier information system can improve transaction process efficiency, reduce customer waiting times, and simplify stock management and financial reporting. This system is expected to be further developed with additional features, such as digital payment integration, customer loyalty programs, and enhanced data security. By implementing this system, Toko Jaya Putra 04 can enhance service quality and support more strategic business decision-making.
Analysis of the Influence of Artificial Intelligence (AI), Machine Learning, and Data Analytics on Marketing Performance at Technology Start-Ups in Jakarta Sungkar, Muchamad Sobri; Mukrodin, Mukrodin; Bakhar, Muhamad
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1479

Abstract

The integration of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics has transformed marketing practices, especially in technology-driven sectors like start-ups. This study examines the influence of these technologies on marketing performance in technology start-ups in Jakarta using quantitative analysis. Data were collected from 150 respondents through a structured questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that AI, ML, and Data Analytics each have significant positive impacts on marketing performance, with Data Analytics emerging as the strongest individual predictor. Moreover, the combined use of these technologies demonstrates a synergistic effect, amplifying their overall influence. These results highlight the critical role of technology integration in enhancing marketing efficiency, customer engagement, and return on investment. The study contributes to the theoretical understanding of technology adoption in marketing and provides actionable insights for start-ups aiming to leverage these tools for competitive advantage.
Design of a Desktop Java-Based Introduction to Basic Electronic Components Albab, Ulil; Bakhar, Muhammad; Qirom, Qirom
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1497

Abstract

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.
Digital Transformation and its Impact on Enterprise Systems in the Manufacturing Sector Judijanto, Loso; Vandika, Arnes Yuli; Zulkifli, Zulkifli; Aprian, Syawal
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1522

Abstract

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.
Development of a Data-Based Customer Relationship Management (CRM) Model to Increase Customer Loyalty in the E-commerce Sector Judijanto, Loso; Vidyastuti, Heppy Agustiana; Hadiyati, Rini; Masela , Mesak Yandri
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1523

Abstract

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.
The Effect of Business Intelligence System Implementation on Organizational Performance in the Digital Age Judijanto, Loso; Zulkifli, Zulkifli; Yusniar, Yusniar
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1532

Abstract

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.
Use of Artificial Intelligence in Operational Efficiency and Business Management Strategic Judijanto, Loso; Adnan, Ahmad Zaelani; Pranajasakti, Gilang; Vandika, Arnes Yuli; Astutik, Wahyuni Sri
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1533

Abstract

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.
Mapping the Cybersecurity Research through Bibliometric Analysis Judijanto, Loso; Endrianto , Endrixs; Vandika, Arnes Yuli
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1534

Abstract

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.
The Impact of ERP System Integration, User Training, and Management Support on Operational Efficiency in Mobile Coffee Businesses in Major Cities of Indonesia Haryono, Haryono; Epriliati, Indah; Muchid, Mochammad; Prasetyo, Eko
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1545

Abstract

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.
Safe Gaming Analytics: Gender- and Age-Aware Machine Learning Using XGBoost for Game Player Engagement Prediction Hartatik, Hartatik
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.2150

Abstract

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.

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