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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 14 Documents
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Search results for , issue "Vol. 3 No. 01 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)" : 14 Documents clear
Research Trends in Smart Workflow Automation: A Bibliometric Study from Scopus Judijanto, Loso; Qadriah, Laila
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 01 (2025): 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.v3i01.717

Abstract

This study presents a comprehensive bibliometric analysis of smart workflow automation research using Scopus-indexed publications to map its intellectual structure, thematic evolution, and global collaboration patterns. A dataset covering the period 2000–2025 was extracted, cleaned, and analyzed using VOSviewer for science mapping and Microsoft Excel for performance metrics. Results reveal that the field is anchored by core concepts such as automation, internet of things, machine learning, and work-flows, which consistently occupy central positions in the research network. Emerging themes, including blockchain, supply chains, security, and ubiquitous computing, reflect a shift toward secure, interconnected, and efficiency-driven automation ecosystems. Co-authorship and country collaboration analyses highlight the pivotal roles of the United States, China, and Germany, supported by extensive cross-border partnerships. Temporal trend mapping demonstrates a transition from early industrial automation and foundational cyber-physical infrastructure toward integrated, value-oriented applications. The study offers practical guidance for industry adoption strategies, enriches theoretical understanding of the field’s conceptual landscape, and identifies promising research frontiers for future exploration.
The Role of Federated Learning in Enhancing Data Privacy in Distributed Environments in Indonesia ZM, Ajub Ajulian; Sinuraya, Enda Wista; Winardi, Bambang
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 01 (2025): 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.v3i01.720

Abstract

This study investigates the role of federated learning (FL) in enhancing data privacy within distributed environments in Indonesia. With the increasing reliance on digital technologies, data privacy has become a critical concern, particularly in decentralized systems. A quantitative research approach was employed, involving 130 respondents from various professional backgrounds engaged with distributed data systems. Data were collected using a structured questionnaire with a five-point Likert scale (1–5) and analyzed using SPSS version 25. Descriptive, correlation, and regression analyses revealed that federated learning significantly contributes to improving confidentiality, trust, and compliance in distributed environments. The results indicate that FL not only safeguards sensitive data but also enhances stakeholder confidence and supports adherence to regulatory standards, such as Indonesia’s UU PDP. The study provides empirical evidence supporting the adoption of federated learning as a privacy-preserving technology and offers practical insights for organizations and policymakers seeking secure and compliant digital ecosystems.
Analysis of the Trends in AI-as-a-Service (AIaaS) Implementation in Technology Companies in Indonesia Sinuraya, Enda Wista; ZM, Ajub Ajulian; Winardi, Bambang
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 01 (2025): 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.v3i01.721

Abstract

This study examines the impact of adoption drivers, perceived benefits, and implementation challenges of Artificial Intelligence-as-a-Service (AIaaS) on the organizational performance of technology companies in Indonesia. Using a quantitative approach, data were collected from 200 respondents through structured questionnaires and analyzed with multiple regression techniques. The results reveal that adoption drivers and perceived benefits have a significant positive influence on organizational performance, while implementation challenges exert a negative impact. These findings suggest that while AIaaS offers considerable potential for efficiency, innovation, and competitive advantage, unresolved barriers such as data security, system integration, and limited human resources hinder its effectiveness. This study contributes to the growing body of literature on AI adoption in emerging economies by highlighting the dual role of enablers and inhibitors in shaping AIaaS outcomes. Practical implications include the need for organizations to invest in digital skills development and risk management, and for policymakers to establish clear regulatory frameworks to accelerate responsible AIaaS adoption in Indonesia.
The Process of Message Production Among Whatsapp Social Media Users Pratikto, Riyodina G.; Kholil, Kholil; Widaningsih, Titi; Jamalullail, Jamalullail
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 01 (2025): 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.v3i01.739

Abstract

As a result of developments in technology and information, the way individuals communicate has changed. This is also the case with the SMAN 3 Bandung Class of '82 Alumni Association, which uses a WhatsApp group (WAG) as a platform to gather and exchange information. However, there is a problem, namely that the dynamics of communication within the ikasma3badg82 WAG cannot always be conveyed in their entirety. The researcher argues that dishonesty in conveying messages within the WAG is part of an effort to maintain solidarity among group members. The objectives of this study include (1) to determine the message production process within the ikasma3bdg82 WAG and (2) to determine how the message production process within the ikasma3bdg'82 WAG is related to the characteristics of its members. The research methodology uses a constructivist paradigm and a qualitative approach. The results of the study include (1) The message production process carried out by members of the ikasma3bdg82 WAG, between passive and active members, is fairly balanced. (2) Based on Trait Theory, members of the ikasma3bdg82 WAG can be classified into Conversational Narcissism, Argumentativeness, and Social Communication Anxiety. The uniqueness of this study is the emergence of the Super Conversational Narcissism component, which is a development of Littlejohn's Trait Theory.

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