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The Eastasouth Journal of Information System and Computer Science
Published by Eastasouth Institute
ISSN : 30266041     EISSN : 3025566X     DOI : https://doi.org/10.58812/esiscs
Core Subject : Science,
Computer Science & IT
ESISCS - The Eastasouth Journal of Information System and Computer Science is a peer-reviewed journal and open access three times a year (April, August, December) published by Eastasouth Institute. ESISCS aims to publish articles in the field of Enterprise systems and applications, Database management systems, Decision support systems, Knowledge management systems, E-commerce and e-business systems, Business intelligence and analytics, Information system security and privacy, Human-computer interaction, Algorithms and data structures, Artificial intelligence and machine learning, Computer vision and image processing, Computer networks and communications, Distributed and parallel computing, Software engineering and development, Information retrieval and web mining, Cloud computing and big data. ESISCS accepts manuscripts of both quantitative and qualitative research. ESISCS publishes papers: 1) review papers, 2) basic research papers, and 3) case study papers. ESISCS has been indexed in, Crossref, and others indexing. All submissions should be formatted in accordance with ESISCS template and through Open Journal System (OJS) only.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 9 Documents
 1 
Search results for , issue "Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)" : 9 Documents clear
Identification of the Application of Vegetation Elements in the Biophilic and Comfort Concept in the Lobby, Dining Room & Public Space of Greenhost Hotel, Prawirotaman, Yogyakarta Achmad, Fathi Khalidi; Rukayah, Siti
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.370

Abstract

The abstract says, In modern cities, the built environment becomes oppressive; Urban spaces are almost unlivable in fact in cities more and more blighted due to design fads and industrialist buildings. Biophilic Design can reduce stress, increase creativity, clarity of thought and improve our well-being, and speed healing. The priorities of Biophilic Architecture are Natural Patterns in Space, Natural Analogy Patterns, and Natural Space Patterns. Yogyakarta has a large number of visitors attending the tourism sector in the Patrioman area, visitors often look for places such as accommodation, cafes, restaurants, and entertainment centers of socialize and relax to create significant business opportunities. Research objectives, some of the results of research that have been carried out with the Biophilic concept are taken, the aim of the research is as an alternative solution to create a healing environment by optimizing architectural design concepts to respond to the health, cognitive, psychosocial and psychological health of hotel users. The impression of this building is extensive on spatial vegetation by arranging the placement of mass, treating the space and mass of space with hiqh quality towards the natural environment, and using materials both inside and out as well as an appearance with a natural appearance to create positive response. This research hopes to be implemented in Greenhost Yogyakarta with a biophilic standardization of spaces in Greenhost Yogyakarta is mostly the application of the Biophilic design model which has been recommended by the fourteen Biophilic design models.
The Role of Anonymous Data in Promoting Consumer Loyalty on E-commerce Platforms in Indonesia Judijanto, Loso; Achmady, Sayed; Utama, I Wayan Karang; Effendy, Femmy; Sabila, Puji Chairu
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.380

Abstract

This study investigates the role of anonymous data in driving consumer loyalty on e-commerce platforms in Indonesia. Employing a quantitative approach, data was collected from 60 respondents through a structured questionnaire using a Likert scale (1-5). Statistical analysis using SPSS version 25 reveals a significant positive relationship between anonymous data utilization and consumer loyalty. Anonymous data enables personalized recommendations and targeted promotions while maintaining consumer privacy, fostering trust and engagement. The study highlights the importance of ethical data practices in the Indonesian e-commerce landscape and provides actionable insights for businesses aiming to enhance customer retention. Limitations and future research directions are also discussed.
Bibliometric Analysis of Data-Driven Decision Making in Business Intelligence Judijanto, Loso; Suarnatha, I Putu Dody; Vandika, Arnes Yuli; Effendy, Femmy; Moeis, Dikwan
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.381

Abstract

This study conducts a bibliometric analysis to explore the research landscape of data-driven decision-making (DDDM) in Business Intelligence (BI). By examining 748 papers published between 2000 and 2024, the study identifies key themes, influential authors, collaborative networks, and emerging trends. The findings highlight the evolution of research from foundational topics like big data and analytics to application-driven themes such as sustainability, policy, and operational efficiency. The United States emerges as the central hub in global research collaboration, with significant contributions from India, China, and European countries. Challenges, including data quality, integration, cultural resistance, and ethical concerns, are identified as barriers to BI adoption. The study emphasizes the need for future research on emerging technologies, industry-specific applications, and ethical frameworks to advance the field. These insights provide valuable guidance for researchers and practitioners aiming to optimize decision-making processes through BI.
Trends in Digital Twin Technology for Industry 4.0: A Bibliometric Study Judijanto, Loso; Qadriah, Laila; Prabowo, Iwan Ady; Widyatmoko, Widyatmoko; Sabila, Puji Chairu
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.382

Abstract

Digital Twin (DT) technology has emerged as a critical enabler of Industry 4.0, bridging the physical and digital worlds through real-time data integration, simulation, and optimization. This study conducts a comprehensive bibliometric analysis to explore the research trends, key contributors, and thematic clusters in DT research over the past decade. The analysis reveals China's leading role in DT research, supported by strong international collaborations with the United States, Germany, and other countries. Key themes include technological enablers such as IoT, sensors, and infrastructure, as well as emerging applications in sustainability, smart cities, and energy systems. Challenges such as risks, uncertainties, and feasibility constraints remain significant barriers to DT adoption, highlighting the need for interdisciplinary collaboration and standardization efforts. The study identifies opportunities for integrating DT with technologies like blockchain and AI, as well as expanding applications in healthcare and agriculture. These findings provide valuable insights for researchers, practitioners, and policymakers to advance DT technology and its transformative potential in Industry 4.0.
Uncovering Global Trends in Internet of Behaviors (IoB) Research through Bibliometric Analysis Judijanto, Loso; Husaini, Husaini; Fauzi, Fauzi; Legito, Legito; Kartini, Siti Agus
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.383

Abstract

The Internet of Behaviors (IoB) represents an emerging multidisciplinary field that integrates technology, data analytics, and behavioral science to influence and understand human actions through digital interactions. This study conducts a bibliometric analysis to uncover global research trends in IoB, highlighting its evolution, key themes, and emerging areas of interest. The analysis, based on publications from 2001 to 2024, reveals the central role of technological advancements such as artificial intelligence and IoT in driving IoB research. Key applications include personalized marketing, healthcare optimization, and smart city development, while ethical and privacy concerns remain critical challenges. India is identified as a leading contributor and global hub for IoB research, with significant international collaborations. Despite its rapid growth, gaps exist in understanding the long-term societal impacts of IoB and its applicability in underrepresented regions. This study emphasizes the need for interdisciplinary research, ethical governance, and inclusive collaboration to maximize IoB's potential for innovation and societal benefit.
BRICS in the Digital Age: Investigating Technological Innovation and Knowledge Sharing as Catalysts for Economic Transformation Haryono, Haryono
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.399

Abstract

The digital age presents unparalleled opportunities for economic transformation, particularly for emerging economies like BRICS (Brazil, Russia, India, China, and South Africa). This study investigates the role of technological innovation and knowledge sharing as catalysts for economic development through a normative juridical analysis of legal frameworks. The findings reveal significant disparities in intellectual property laws, data governance policies, and innovation ecosystems among BRICS nations, hindering seamless collaboration. The study emphasizes the need for harmonized juridical mechanisms to address challenges such as digital inequality, cybersecurity threats, and geopolitical tensions. By proposing unified intellectual property agreements, standardized data governance policies, and joint R&D programs, the research offers actionable insights into fostering innovation and collaboration for sustainable economic transformation in the digital era.
The impact of blockchain on data integrity and security in distributed systems Annapureddy, Govardhan Reddy
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.486

Abstract

Blockchain has toured the technological world as a revolutionary platform powering safe and secured storing of information across many sectors including digital currency and supply systems. This paper discusses the potential of this technology and the essential role it plays in the management of data integrity and security in distributed systems. It starts with a brief discussion of the key concepts of blockchain namely decentralization, the ledger is not controlled by the parties to the transaction or by any third party, immutability of records on the blockchain, the records on a blockchain cannot be tampered with once they have been put on the blockchain, and transparency, everybody can see the record but cannot influence it. The paper then looks at how these principles improve data security and data integrity as compared to centralized approach. Besides, it also looks at some of the drawbacks and possible limitations of blockchain about data consistency and protection again also giving scenarios that support its efficiency.
The Role of Cloud-Based Analytics in Transforming Logistics Data Management and Reporting Yerra, Srikanth
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.515

Abstract

Cloud-based analytics has transformed logistics data management by enabling real-time data processing, improving visibility, and supporting fact-based decision-making. Traditional logistics systems struggle with data silos, delayed reporting, and poor resource planning. Cloud-based solutions dynamically process vast logistics data, allowing real-time monitoring of transportation, inventory, and supplier performance. This improves efficiency by identifying bottlenecks, streamlining routes, and predicting disruptions. AI-powered analytics also enables demand forecasting, warehouse optimization, and automated strategic decisions. Moreover, cloud-based platforms integrate data from suppliers, distributors, and logistics providers, enhancing collaboration, reducing communication gaps, and improving regulatory compliance. Security and scalability further drive adoption, with cloud providers offering encryption, access controls, and real-time threat detection. Flexible cloud infrastructure allows businesses to scale analytics based on demand, cutting infrastructure costs while maintaining high performance. In summary, cloud-based analytics offers real-time insights, predictive capabilities, collaboration, and secure scalability, helping firms improve efficiency, reduce risks, and stay competitive in global supply chains.
Ethical AI Deployment: Balancing Innovation with Responsibility in Pre- Generative AI Systems Vangala, Vidyasagar
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.710

Abstract

With each advance in generative AI technology by virtue of growing innovation, the proportion to be adhered to between responsibility and innovation grows ever more vital. This article discusses the implications of embracing pre-generative AI systems on their ethical concerns and emphasizes the need for urgency in responsibility as part of a realistic usage scenario. The essay presents the ethics of the unexpected surge of the generative AI tools due to concerns of bias, transparency, accountability, and confidentiality. Using the current paradigms of the ethics of AI, the essay creates guiding principles such as fairness, non-maleficence, and user autonomy, and touches on mechanisms for mitigating the likelihood of unwanted consequences. Balancing theory and practice, the book gives developers, organizations, and policymakers advice on how to prepare for an AI system that maximizes ethical use without undermining innovation. Last but not least, it calls for a balance approach that balances technology development and the good of society and dares the stakeholders to embrace constructive and collaborative action in the development of the future of AI deployment.

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