ESISCS - The Eastasouth Journal of Information System and Computer Science

ISSN International Centre | ISSN: 3025-566X (online) | ISSN: 3026-6041 (Print)

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.

Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)

Published: 2024-12-31

Uncovering Global Trends in Internet of Behaviors (IoB) Research through Bibliometric Analysis

Loso Judijanto, Husaini Husaini, Fauzi Fauzi, Legito Legito, Siti Agus Kartini
72-83
Abstract View: 127
PDF View: 77

Trends in Digital Twin Technology for Industry 4.0: A Bibliometric Study

Loso Judijanto, Laila Qadriah, Iwan Ady Prabowo, Widyatmoko Widyatmoko, Puji Chairu Sabila
92-104
Abstract View: 142
PDF View: 77

The Role of Anonymous Data in Promoting Consumer Loyalty on E-commerce Platforms in Indonesia

Loso Judijanto, Sayed Achmady, I Wayan Karang Utama, Femmy Effendy, Puji Chairu Sabila
105-114
Abstract View: 112
PDF View: 55

Bibliometric Analysis of Data-Driven Decision Making in Business Intelligence

Loso Judijanto, I Putu Dody Suarnatha, Arnes Yuli Vandika, Femmy Effendy, Dikwan Moeis
137-149
Abstract View: 90
PDF View: 56
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