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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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Advancing Animal Health: A Web-Based Expert System Utilizing Forward Chaining for Disease Diagnosis Sarmidi, Sarmidi; Bastian, Ade; Taufiq, Muhammad; Rusyn, Volodymyr; Arshad, Adnan; Siti Sundari, Ristina
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1207

Abstract

The increasing prevalence of animal diseases, along with the increasing need for animal products, highlights the urgent need for efficient diagnostic tools in veterinary medicine. The aim of this research is to create an expert system that uses a forward chaining algorithm to diagnose animal diseases. The forward chaining algorithm is a deductive reasoning approach that starts with existing facts and uses expert tree rules for hypotheses. This process continues until the desired goal is achieved or no additional conclusions can be drawn. Even though there are developments in expert systems, there are still shortcomings in implementing the forward chain for rapid and precise diagnosis of livestock diseases. This work aims to fill this gap by developing an expert system that improves the accuracy and efficiency of disease diagnosis in the livestock industry. A database of animal diseases and symptoms was created by observing and interacting directly with farmers. The system architecture is specifically intended to optimize data processing and user engagement, enabling rapid diagnosis and treatment recommendations. This test shows a level of accuracy and precision, thereby reducing the possibility of misdiagnosis. The capacity of expert systems to provide fast and reliable diagnoses has the potential to improve livestock health management, thereby helping farmers maintain animal welfare and productivity. The results of this work advance the field of veterinary diagnostics and propose other uses of expert systems in animal health management.
The Effect of Enterprise Resource Planning (ERP) System Implementation, User Training, and Management Support on User Satisfaction in Manufacturing Companies Sudarmo, Sudarmo; Vandika, Arnes Yuli; Fahrijal, Rival
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1209

Abstract

This study examines the impact of Enterprise Resource Planning (ERP) system implementation, User Training, and Management Support on User Satisfaction within manufacturing companies. Using a quantitative approach, data were collected from 160 respondents and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results indicate that all three factors—ERP system implementation, User Training, and Management Support—have a positive and significant effect on User Satisfaction. Among these, User Training emerged as the most influential factor, followed by Management Support and ERP system implementation. These findings underscore the critical role of human-centric factors in ensuring successful ERP adoption and highlight the importance of comprehensive training and strong management involvement. The study offers practical insights for organizations aiming to enhance user satisfaction with ERP systems, emphasizing the need for a holistic approach that integrates technical and human factors.
The Effect of Application Development, Data Security, and Infrastructure Availability on Cost Savings and Company Economic Performance Susilawati, Made; Vandika, Arnes Yuli; Lesmana, Tera
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1210

Abstract

This study examines the impact of application development, data security, and infrastructure availability on the economic performance and cost savings of companies in Indonesia. Utilizing a quantitative research design, data were collected from 180 companies across various industries using a structured questionnaire. The data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) 3. The results indicate that all three factors—application development, data security, and infrastructure availability—positively and significantly influence economic performance and cost savings. Infrastructure availability emerged as the most influential factor, underscoring its critical role in supporting technological advancements and efficient operations. These findings provide valuable insights for business leaders and policymakers, emphasizing the importance of strategic investments in technology to enhance financial outcomes and competitiveness in the Indonesian market.
Evolution of Cloud Computing Research in Information Systems Judijanto, Loso; Vandika, Arnes Yuli; Muhtadi, M. Ammar
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1211

Abstract

Cloud computing has become a cornerstone of modern information systems, driving significant advancements across various industries. This study conducts a bibliometric analysis to explore the evolution of cloud computing research within the field of information systems, focusing on key trends, influential publications, and author collaborations. The analysis, based on data from Google Scholar, reveals that security has consistently been a critical area of focus, reflecting the ongoing concern for safeguarding cloud environments. Additionally, the integration of cloud computing with emerging technologies like the Internet of Things (IoT) and big data is highlighted as a growing trend, emphasizing the expanding applications of cloud computing. The study also identifies distinct research clusters, suggesting opportunities for enhanced collaboration across different subfields. While the findings offer valuable insights for both researchers and practitioners, the study acknowledges its limitations, including the reliance on a single database and the potential oversimplification of complex research interactions. Future research should consider these limitations and explore new avenues to further understand and enhance cloud computing practices.
Implementation of Internet of Things (IoT) in Information System Judijanto, Loso; Vandika, Arnes Yuli; Priyana, Yana
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1212

Abstract

This study employs bibliometric analysis to map the network of research collaborations within a specific academic field, identifying key contributors and the structure of their interconnections. By analyzing data from prominent academic databases, the study visualizes clusters of authors and assesses their influence based on publication and citation metrics. The findings offer strategic insights into the core research communities, highlighting central authors and potential areas for collaboration. Practical implications are discussed for academic institutions, research networks, and funding strategies, emphasizing how these entities can utilize the analysis to enhance research output and innovation. Limitations of the study include potential database biases and a focus on quantitative measures, which may not fully capture the dynamic and qualitative aspects of individual contributions. Despite these challenges, the bibliometric analysis provides valuable guidance for strategic decision-making in research and academic communities.
Application of Artificial Intelligence to Improve Production Process Efficiency in Manufacturing Industry Yahya, Lucky Mahesa; Suharni, Suharni; Hidayat, Deddy; Vandika, Arnes Yuli
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1221

Abstract

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted the manufacturing industry, offering transformative potential to enhance production process efficiency. This paper presents a systematic literature review of AI applications in the manufacturing sector, focusing on key AI technologies such as machine learning, robotics, predictive analytics, and natural language processing. The review highlights how these technologies have improved quality control, resource management, and overall operational performance. However, the adoption of AI also presents challenges, including significant investment costs, the need for a skilled workforce, and concerns over data security and privacy. Despite these challenges, the integration of AI in manufacturing presents numerous opportunities for future research and innovation, particularly in the areas of sustainable manufacturing and the convergence of AI with other emerging technologies. This study concludes that while AI offers substantial benefits for production efficiency, its successful implementation requires careful strategic planning and investment in both technology and human resources.
Utilization of Fiber Optic Network in Support of Voip Infrastructure: Case Study of Implementation at State Polytechnic of Malang Prasetya, Andhini Lionita; Arinie, Farida; Syirajuddin S, Muhammad
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.v2i03.1250

Abstract

In the modern era, the need for fast and high-performance communication is crucial to support the advancement of information technology. Voice Over Internet Protocol (VoIP) enables voice transmission over IP networks, offering cost savings compared to conventional telephony. The State Polytechnic of Malang (Polinema) transitioned from a conventional Private Automatic Branch Exchange (PABX) system, which is now difficult to maintain, to a custom Internet Protocol Private Branch Exchange (IP PBX) system that is more flexible and integrated with existing data networks. The use of Ethernet Passive Optical Network (EPON) in VoIP infrastructure offers benefits such as high capacity, quality VoIP data transmission, energy efficiency, and reduced operational costs. This combination of optical fiber (EPON) and VoIP allows Polinema to create a more efficient and reliable communication solution, enhancing accessibility and the quality of the learning experience. This research is also expected to inspire other educational institutions to adopt similar innovations.
Monitoring the Filtration of Brackish Water Into Raw Water by the Reserve Osmosis Method Basit, Abdul; Afriliana, Ida
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.v2i03.1326

Abstract

The need for raw water is still a serious problem for coastal communities, where groundwater obtained by coastal communities cannot be categorized as suitable for use, because the water tends to be brackish. Clean water that is suitable for consumption is not only clear, odorless, and tasteless, but must also meet health requirements. The urgency of the condition in the coastal area is that with the development of housing located on the coast, the need for clean water is very important for people living on the coast. The purpose of this study is to implement appropriate technology in the coastal area of the north coast with the hope of providing raw or usable water for the people of the north coast, especially for the people in the coastal area of Tegal City, Central Java. The appropriate technology that will be applied is to monitor the results of an internet-of-things based filtration system by reading the TDS and PH sensor values. The TDS sensor can detect a decrease in moisture content with an average decrease in PPM value of around 321 and salinity or salt levels, which is an average decrease of about 8.63%, while the PH sensor detects an increase in the sample, which is an average of 1.8 with a water filling speed of 9.03 L/min. Thus, the previously brackish water condition can be used as an effort to overcome the raw water crisis in coastal communities with the reserve osmosis filtration method.
Analysis of Policies and Implementation of Railway Crossing Regulations in Indonesia: A Multi-Stakeholder Approach to Enhance Compliance and Safety Ilham, Ilham
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.v2i03.1412

Abstract

This study examines the implementation of railway crossing regulations in Indonesia, employing a multi-stakeholder approach to enhance safety and compliance. Utilising a quantitative methodology, the research surveyed 500 respondents across various stakeholder groups. Structural Equation Modelling-Partial Least Squares analysis revealed that a multi-stakeholder approach significantly influences the effectiveness of regulation implementation (β = 0.68, p < 0.001). Inter-agency coordination emerged as the second most crucial factor (β = 0.55, p < 0.001), mediating the relationship between the multi-stakeholder approach and implementation effectiveness. The study also found a strong correlation between implementation effectiveness and regulatory compliance (β = 0.71, p < 0.001). Whilst community involvement and technology integration showed smaller influences, they remain significant contributors to implementation effectiveness. Notably, perceptions were consistent across stakeholder groups, indicating a shared understanding of key issues. The findings underscore the need for collaborative platforms in policy formulation and implementation, increased investment in technology and community engagement programmes, and adaptive regulatory frameworks that accommodate Indonesia's diverse contexts. This research contributes to the literature on transportation safety in developing countries and provides empirical evidence for policy reforms in railway crossing safety management in Indonesia.
Comparative Analysis of Saw and Topsis Methods in the Decision-Making System of Scholarship Recipients Humam, Mohammad; Sabanise, Yerry Febrian; Nugroho, Wildani 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.v2i03.1429

Abstract

Studi kasus penelitian ini pada Politeknik Harapan Bersama yang nantinya digunakan untuk pengambilan keputusan mahasiswa penerima beasiswa. Tujuan penelitian ini untuk pengambilan keputusan penerima beasiswa. Penelitian sebelumnya sudah melakukan Sistem Pengambilan Keputusan (SPK) dengan metode TOPSIS (Technique for Others Preference by Similarity to Ideal Solution), oleh karena itu pada penelitian ini akan menganalisa perbandingan SPK dengan metode SAW dan metode TOPSIS untuk mencari model yang lebih baik dalam pengambilan keputusan penerima beasiswa. Diharapkan nantinya menghasilkan Solusi yang tepat dan mengetahui perbandingan dari 2 model yang terbaik dalam pengambilan keputusan penerima beasiswa pada penelitian ini hasil implementasi akan ditampilkan berupa website.

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