About the Journal
Journal Title | Journal of Emerging Information Systems and Business Intelligence |
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Initials | JEISBI |
Frequency | 4 issues per year | April, July, October, and December |
DOI Prefix | 10.26740/jeisbi |
ISSN | ISSN 2774-3993 |
Editor-in-Chief | Monica Cinthya, ST., M.Kom. |
Publisher | Universitas Negeri Surabaya |
Indexing | Google Scholar, Dimensions, Garuda |
Journal of Emerging Information Systems and Business Intelligence (JEISBI) aims to provide scholarly literature focused on studies and research in the fields of Information Systems (IS) and Business Intelligence (BI). This journal also includes public reviews on the development of theories, methods, and applications relevant to these topics. All published works are presented exclusively in English to reach a global audience of readers and researchers.

The journal’s scope includes but is not limited to the following fields:
- Data Mining
- Generative Artificial Intelligence
- Big Data Analytics
- Business Intelligence
- Enterprise Architecture
- UI/UX
- Business Process Management
- Enterprise System
- System Development
- Decision Support System
- IS/IT Strategy and Planning
- IT Investment and Productivity
- IT Project Governance
- IS Business Value
- Audit SI/TI
- Cybersecurity and Risk Management
- IS/IT Operations and Service Management
- IT Ethics
- Organizational and Human Behavior Technology
- Digital Sociology
Current Issue

We are pleased to announce the official publication of Journal of Emerging Information Systems and Business Intelligence (JEISBI), Volume 06, Edition 01. This edition features six articles that explore various topics within the field of Information Systems and business intelligence.
We extend our sincere appreciation to the authors for their valuable contributions and unwavering commitment throughout the journal's editorial process. We recognize that the publication process requires dedication and patience, and we truly appreciate the authors' cooperation in adhering to each stage of the review and editing procedures.
We hope that this publication will contribute to the advancement of knowledge and serve as a valuable reference for researchers, academics, and professionals in the field of Information Systems.
We invite you to explore this edition and gain insightful perspectives from the published research.
Articles
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Rendering Performance Analysis of Astro JS, Next JS, Nuxt JS, and SvelteKit Frameworks Using Google Lighthouse, PageSpeed Insight, and JMeter Rendering Performance Analysis of Astro JS, Next JS, Nuxt JS, and SvelteKit Frameworks Using Google Lighthouse, PageSpeed Insight, and JMeter
Abstract views: 154 ,
PDF downloads: 160
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Comparison Of Web Load Speed Between Babel Transpiler and SWC On Website-Based Applications
Abstract views: 38 ,
PDF downloads: 52
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WEB-BASED EMPLOYEE RECRUITMENT DECISION SUPPORT SYSTEM USING THE FUZZY ANALYTICAL HIERARCHY PROCESS METHOD (CASE STUDY PT. AGROFARM NUSA RAYA)
Abstract views: 52 ,
PDF downloads: 53