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NEXCORE: Journal of Computer Science & Intelligent Systems is a peer-reviewed international journal published by Soratekno Publisher. The journal publishes original research articles, review papers, and case studies in the field of computer science, information technology, and intelligent systems.
The journal is published periodically and applies a double-blind peer review process to ensure scientific quality.
NEXCORE publishes manuscripts in the following areas (but not limited to):
Computer Science and Computing
Artificial Intelligence and Data Science
Software Engineering
Information Systems
Computer Networks and Cloud Computing
Internet of Things (IoT)
Cyber Security
Human–Computer Interaction
Digital Transformation and Smart Systems
NEXCORE accepts the following manuscript types:
Original Research Articles
Review Articles (Systematic Literature Review / Meta-analysis)
Case Studies and Applied Research
All submissions must be original, unpublished, and not under consideration elsewhere.
Manuscripts may be written in:
English (recommended for international visibility)
Bahasa Indonesia
Authors whose first language is not English are encouraged to use professional language editing services prior to submission.
Manuscripts should be prepared according to the following structure:
Concise and informative title (max. 20 words)
Full author names (without academic titles)
Affiliation(s)
Corresponding author email
ORCID ID (recommended)
150–250 words
Written in English and Bahasa Indonesia
Contains: background, objective, method, results, and conclusion
No citations allowed
3–5 keywords
Separated by semicolons (;)
Avoid repeating words from the title
Contains:
Research background
Problem formulation
Research objectives
Contribution and novelty of the study
Contains:
Related studies
Theoretical foundation
Research gap
Contains:
Research design
Data sources
Instruments
Analysis techniques
System architecture (if applicable)
Contains:
Research findings
System implementation
Model evaluation
Interpretation of results
Comparison with previous studies
Contains:
Summary of findings
Research implications
Limitations
Future research directions
| Item | Requirement |
|---|---|
| Paper size | A4 |
| Margins | 2.5 cm (all sides) |
| Font | Times New Roman |
| Font size | 11 pt |
| Line spacing | 1.15 |
| Columns | Single column |
| Paragraph | Justified |
| Length | 8–15 pages |
NEXCORE uses APA 7th Edition reference style.
(Smith, 2022)
(Smith & Johnson, 2023)
(Smith et al., 2024)
Journal Article
Smith, J., & Brown, A. (2023). Machine learning for smart systems. Journal of Intelligent Computing, 12(2), 45–58. https://doi.org/10.xxxx/xxxxx
Book
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Conference
Zhang, L., & Wang, Y. (2022). Deep learning for image recognition. In Proceedings of IEEE ICML (pp. 101–108).
Minimum references: 15 sources
At least 80% from international journals (last 5 years)
DOI is strongly recommended.
Maximum similarity: ? 20%
Maximum single source: ? 5%
Checked using Turnitin or equivalent software
Manuscripts exceeding similarity limits will be rejected or returned for revision.
Manuscripts must be submitted through the NEXCORE Online Journal System (OJS):
Register as Author
Submit manuscript
Upload supplementary files (if any)
Complete metadata
Confirm submission
NEXCORE applies a double-blind peer review system:
Initial screening by editor
Similarity check
Review by at least two independent reviewers
Editorial decision:
Accept
Minor revision
Major revision
Reject
Average review time: 4–6 weeks
NEXCORE follows COPE (Committee on Publication Ethics) principles.
Authors must ensure:
Originality of work
No plagiarism
No data fabrication or falsification
No multiple submission
Proper authorship attribution
Conflict of interest disclosure
Authors retain copyright and grant NEXCORE the right of first publication.
Articles are published under:
Creative Commons Attribution 4.0 International License (CC BY 4.0)
(IDR : Rp. 100.000,-)
NEXCORE provides immediate open access to its content to support the global exchange of knowledge.
E-ISSN : 3123-8947
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