ARTICLE TYPES

Jurnal Sistem Cerdas 

1. General Information

Jurnal Sistem Cerdas publishes high-quality scholarly articles that contribute to the theoretical development, methodological advancement, experimental evaluation, and practical application of intelligent systems and computational technologies.

The journal welcomes research in artificial intelligence, machine learning, deep learning, data science, computer vision, natural language processing, intelligent information systems, robotics, optimization, cybersecurity, and related interdisciplinary fields.

All submitted manuscripts must demonstrate scientific relevance, originality, methodological rigor, and clear contributions to existing knowledge.

Jurnal Sistem Cerdas accepts the following three main article types:

  1. Original Research Articles

  2. Review Articles

  3. Applied Research Articles

Each article type has specific objectives, structural requirements, and evaluation criteria.

2. Original Research Articles

Description

Original Research Articles present new scientific findings obtained through systematic research, experimental investigation, computational modeling, algorithm development, or empirical evaluation.

These articles should offer identifiable contributions to the scientific understanding, methodology, performance, or implementation of intelligent systems.

Contributions may include novel algorithms, improved computational architectures, innovative optimization methods, new datasets accompanied by scientific analysis, or substantial experimental findings.

Scope of Contributions

Original Research Articles may address:

  • Development of new artificial intelligence or machine learning algorithms.

  • Improvements to existing deep learning architectures.

  • Novel approaches to intelligent decision-making.

  • Computer vision and image processing techniques.

  • Natural language processing and language technologies.

  • Computational intelligence and optimization algorithms.

  • Intelligent cybersecurity and anomaly detection.

  • Explainable and trustworthy artificial intelligence.

  • Novel frameworks for intelligent information systems.

Recommended Manuscript Structure

  1. Title

  2. Author Information and Affiliations

  3. Abstract

  4. Keywords

  5. Introduction

  6. Research Methodology

  7. Results and Discussion

  8. Conclusion

  9. Acknowledgments (if applicable)

  10. References

Manuscript Requirements

Component Recommendation
Length 8–15 pages
Abstract 150–250 words
Keywords 3–5
References Minimum 20
Citation style IEEE
Methodology Detailed and reproducible
Evaluation Experimental and comparative evaluation

Evaluation Criteria

Manuscripts will be evaluated based on scientific originality, methodological validity, technical contributions, experimental rigor, clarity of presentation, and significance of findings.

For machine learning research, authors are encouraged to include appropriate baseline comparisons, quantitative performance metrics, and statistical evaluation.

3. Review Articles

Description

Review Articles provide comprehensive and critical analyses of existing scientific literature concerning intelligent systems and related computational technologies.

The primary purpose of a Review Article is to synthesize current knowledge, identify research trends, evaluate methodological developments, highlight unresolved challenges, and propose directions for future research.

Jurnal Sistem Cerdas particularly encourages systematic literature reviews, scoping reviews, and mapping studies that follow transparent and reproducible research procedures.

Scope of Contributions

Review Articles may address:

  • Systematic reviews of artificial intelligence algorithms.

  • Comparative analyses of machine learning and deep learning methods.

  • Reviews of explainable artificial intelligence approaches.

  • Research trends in intelligent information systems.

  • Applications of computer vision in real-world environments.

  • Developments in natural language processing.

  • Intelligent systems for healthcare, agriculture, education, and transportation.

  • Cybersecurity techniques based on computational intelligence.

  • Emerging trends in trustworthy and responsible AI.

Recommended Review Methodologies

Authors are encouraged to employ recognized review approaches, including:

  • Systematic Literature Review (SLR).

  • Systematic Mapping Study (SMS).

  • Scoping Review.

  • Bibliometric Analysis combined with substantive literature synthesis.

For systematic reviews, authors should follow appropriate reporting frameworks such as PRISMA 2020 when applicable.

Recommended Manuscript Structure

  1. Title

  2. Author Information and Affiliations

  3. Abstract

  4. Keywords

  5. Introduction

  6. Review Methodology

  7. Literature Classification or Research Taxonomy

  8. Results and Critical Discussion

  9. Research Gaps and Future Directions

  10. Conclusion

  11. References

Manuscript Requirements

Component Recommendation
Length 10–15 pages
Abstract 150–250 words
Keywords 3–5
References Recommended minimum 40
Citation style IEEE
Literature selection Transparent and systematic
Critical synthesis Required

Evaluation Criteria

Review Articles will be assessed based on the relevance and completeness of the literature, methodological transparency, depth of critical analysis, quality of research synthesis, and significance of the identified research gaps.

Manuscripts that merely summarize previously published studies without meaningful synthesis, comparison, or critical evaluation may be rejected.

4. Applied Research Articles

Description

Applied Research Articles present the design, development, implementation, and evaluation of intelligent technologies intended to address practical problems.

These manuscripts should demonstrate how computational intelligence, artificial intelligence, optimization, or intelligent information systems can provide measurable improvements in real-world applications.

The journal welcomes applied research that combines technological development with systematic scientific evaluation.

Scope of Contributions

Applied Research Articles may include:

  • Intelligent decision support systems for organizational management.

  • AI-based applications in healthcare and education.

  • Smart agriculture and precision farming systems.

  • Intelligent transportation and traffic monitoring.

  • Internet of Things applications with intelligent analytics.

  • AI-based industrial automation and predictive maintenance.

  • Intelligent web-based and mobile applications.

  • Recommendation systems and intelligent service platforms.

  • Smart city and environmental monitoring applications.

  • Intelligent systems for public services and community development.

Recommended Manuscript Structure

  1. Title

  2. Author Information and Affiliations

  3. Abstract

  4. Keywords

  5. Introduction

  6. Related Work and Problem Analysis

  7. System Design and Research Methodology

  8. Implementation and Experimental Evaluation

  9. Results and Discussion

  10. Conclusion

  11. Acknowledgments (if applicable)

  12. References

Manuscript Requirements

Component Recommendation
Length 6–15 pages
Abstract 150–250 words
Keywords 3–5
References Minimum 20
Citation style IEEE
System evaluation Required
Performance evidence Quantitative or appropriately justified mixed-method evaluation

Evaluation Criteria

Applied Research Articles will be evaluated based on problem relevance, technical implementation, methodological rigor, measurable performance, and practical significance.

The manuscript should clearly explain the contribution of the intelligent component to the proposed solution.

Articles that merely describe the development of software applications without sufficient scientific evaluation, technological contribution, or meaningful research findings are generally not suitable for publication.

5. General Requirements for All Article Types

All manuscripts submitted to Jurnal Sistem Cerdas must comply with the following requirements.

Originality

The manuscript must contain original scholarly contributions and must not have been previously published or simultaneously submitted to another journal.

Scientific Quality

Research objectives, methodological procedures, results, and conclusions must be clearly presented and supported by appropriate scientific evidence.

Relevance

The manuscript must align with the journal's focus on intelligent systems and related computational technologies.

Research Ethics

Authors must comply with the journal's publication ethics, authorship criteria, plagiarism policies, and conflict-of-interest requirements.

Manuscript Formatting

All articles must follow the official Jurnal Sistem Cerdas manuscript template and applicable referencing guidelines.

Data Transparency

Authors are encouraged to provide sufficient methodological details, data descriptions, computational configurations, and supporting materials to facilitate research reproducibility.

Peer Review

All article types are subject to initial editorial screening and the journal's established peer review process.

6. Comparison of Article Types

Criteria Original Research Review Article Applied Research
Primary objective Generate new scientific findings Synthesize existing knowledge Solve practical problems scientifically
Main contribution Novel method, model, or empirical findings Critical synthesis and research gaps Validated intelligent application
Research methodology Experimental or empirical Systematic literature analysis Design, development, and evaluation
Recommended length 8–15 pages 10–15 pages 6–15 pages
Minimum references 20 40 recommended 20
Evaluation emphasis Originality and experimental rigor Review quality and critical synthesis Technical validity and measurable impact

7. Manuscripts Not Considered for Publication

Jurnal Sistem Cerdas generally does not consider manuscripts that:

  1. Fall outside the journal's focus and scope.

  2. Present only basic software implementation without sufficient scientific contribution.

  3. Lack appropriate research methodology or empirical evidence.

  4. Report unverified experimental findings or unsupported conclusions.

  5. Contain substantial plagiarism, fabricated data, or falsified results.

  6. Have been published previously or are simultaneously under review elsewhere.

  7. Provide superficial literature summaries without critical synthesis.

  8. Present routine applications of established algorithms without meaningful evaluation, insight, or practical contribution.

The editorial team may decline manuscripts that do not satisfy the journal's minimum scientific and ethical standards.

8. Editorial Assessment and Article Classification

Authors must select the most appropriate article type during manuscript submission through the journal's Online Journal Systems (OJS) platform.

The editorial team reserves the right to recommend changes to the article classification when the manuscript's objectives, methods, and contributions are more appropriately represented by another category.

The final decision concerning article classification and suitability for publication rests with the editorial team.

All accepted manuscripts must comply with the journal's Author Guidelines, Authorship Criteria, Publication Ethics, and other applicable editorial policies.