Manuscript Type

Jurnal Computech & Bisnis (JCB)
Published by STMIK Mardira Indonesia

1. General Policy

Jurnal Computech & Bisnis (JCB) publishes peer-reviewed scholarly articles that contribute to the advancement of computer science and informatics, particularly in computational methods, software engineering, information security, computational intelligence, and intelligent information systems.

The journal welcomes manuscripts that present original research, methodological advances, rigorous experimental investigations, and technically sound system development and evaluation studies.

All submissions must be relevant to the journal’s Focus and Scope and demonstrate an appropriate level of originality, methodological rigor, analytical depth, and scientific contribution.

JCB distinguishes manuscript types according to the primary objective, research approach, and scholarly contribution of the work. The manuscript type selected by the author must accurately reflect the content of the submission.

The editorial team determines the final classification and suitability of each manuscript based on its content, contribution, and compliance with the journal’s policies.

2. Original Research Article

Original Research Articles report original findings derived from empirical, experimental, analytical, computational, or theoretical investigations.

This manuscript type is intended for studies that address a clearly defined research problem and contribute new knowledge, evidence, methods, or technical insights to computer science and informatics.

Relevant topics include, but are not limited to:

• Development and evaluation of computational methods and algorithms.
• Software engineering methods, architectures, testing, and quality evaluation.
• Information security and cybersecurity techniques.
• Machine learning, deep learning, and data mining.
• Computational intelligence and optimization.
• Intelligent information systems and decision-support systems.
• Internet of Things and intelligent computing applications.
• Data engineering and intelligent data processing.

An original research article should generally include a clear research problem, relevant literature, a justified methodology, appropriate results, critical discussion, and a conclusion that explains the research contribution.

Authors must demonstrate how the findings advance understanding or practice beyond a simple description of an existing technology.

3. Computational Methods and Algorithm Development Article

This manuscript type focuses on the design, analysis, development, improvement, or systematic evaluation of computational methods, algorithms, mathematical models, or optimization techniques.

Relevant topics include:

• Algorithm design and analysis.
• Computational optimization and metaheuristic methods.
• Machine learning and deep learning model development.
• Pattern recognition and data mining techniques.
• Computational modeling and simulation.
• Efficient algorithms for complex or large-scale problems.
• Comparative analysis and benchmarking of computational methods.
• Novel evaluation or validation approaches.

Submissions should explain the methodological contribution, describe the experimental or analytical procedures, and provide evidence supporting the reported findings.

Where appropriate, authors should compare the proposed method with relevant baseline approaches using fair experimental conditions and suitable evaluation metrics.

A manuscript that merely applies an existing algorithm to a new dataset without a meaningful methodological contribution, rigorous evaluation, or substantive analytical insight may be considered insufficient for publication.

4. Software Engineering and System Evaluation Article

This manuscript type covers research on software engineering methods, software architecture, software development processes, testing, verification, validation, quality assurance, and system performance.

Relevant topics include:

• Software requirements engineering.
• Software architecture and design.
• Software development and maintenance methods.
• Software testing and quality assurance.
• Software reliability and performance evaluation.
• Model-driven engineering and formal methods.
• Distributed software and cloud-native architectures.
• Empirical software engineering.
• Comparative evaluation of software engineering techniques.

Authors should clearly describe the research problem, technical approach, evaluation methodology, and contribution to software engineering knowledge or practice.

System development studies should include an appropriate evaluation of the proposed system, such as testing, performance measurement, quality assessment, comparative analysis, or another method justified by the research objectives.

Routine application development without sufficient technical analysis, evaluation, or scholarly contribution is generally not prioritized.

5. Information Security and Cybersecurity Research Article

This manuscript type addresses the development, analysis, implementation, or evaluation of methods and technologies for protecting information, applications, networks, and computing infrastructure.

Relevant topics include:

• Network and application security.
• Intrusion detection and cyberattack detection.
• Malware analysis and threat intelligence.
• Cryptographic methods and secure communication.
• Authentication, authorization, and access control.
• Privacy-preserving technologies.
• Security assessment and vulnerability analysis.
• Secure software engineering.
• Digital forensics and security analytics.
• Machine learning for cybersecurity.
• Security monitoring and incident detection.

Submissions should provide a clear explanation of the security problem, research methodology, evaluation environment, results, and limitations.

Security testing must be conducted with appropriate authorization and in accordance with applicable legal and ethical requirements.

Articles must demonstrate a meaningful security contribution rather than simply describe the use of an existing security tool.

6. Computational Intelligence, Machine Learning, and Data Mining Article

This manuscript type focuses on computational techniques for learning from data, discovering patterns, making predictions, optimizing decisions, and solving complex problems.

Relevant topics include:

• Machine learning and deep learning.
• Data mining and knowledge discovery.
• Artificial neural networks.
• Pattern recognition and predictive modeling.
• Evolutionary computation and swarm intelligence.
• Fuzzy systems and hybrid intelligent methods.
• Reinforcement learning and adaptive systems.
• Explainable and interpretable artificial intelligence.
• Feature engineering and feature selection.
• Anomaly detection and intelligent classification.
• Model benchmarking and generalization analysis.

Authors should describe the dataset, preprocessing procedures, model configuration, experimental design, evaluation metrics, and relevant baseline methods.

The manuscript should provide a critical interpretation of the results, including relevant limitations and potential sources of bias.

A high performance score alone does not establish novelty or scientific significance. Authors should explain why the findings are meaningful and how they compare with existing knowledge.

7. Intelligent Information Systems and Decision-Support Article

This manuscript type covers the design, development, integration, and evaluation of information systems that incorporate computational intelligence, data-driven methods, automated reasoning, or adaptive capabilities.

Relevant topics include:

• Intelligent information system architectures.
• Decision-support systems.
• Knowledge-based and expert systems.
• Intelligent business and enterprise applications.
• Recommendation systems.
• Predictive analytics for decision support.
• Integration of machine learning into information systems.
• Intelligent process automation.
• Knowledge representation and reasoning.
• Evaluation of intelligent system effectiveness.

Submissions should identify the technical or methodological contribution of the proposed system and provide appropriate evidence of its performance, reliability, effectiveness, or decision-support value.

A manuscript that primarily describes a conventional information system without a substantial computational contribution or meaningful evaluation may be considered outside the journal’s publication priorities.

8. Internet of Things and Intelligent Computing Application Article

This manuscript type addresses computational methods, architectures, and technologies for connected devices, embedded systems, distributed sensing, and intelligent data processing.

Relevant topics include:

• Internet of Things architectures and protocols.
• Embedded and sensor-based computing.
• Edge and fog computing.
• Intelligent sensor data processing.
• IoT data analytics and anomaly detection.
• IoT security and privacy.
• Resource-efficient computing.
• Smart monitoring and automated control.
• Integration of IoT with machine learning.
• Performance evaluation of connected systems.

Authors should explain the system architecture, technical design, implementation, and evaluation methodology.

Depending on the research objectives, evaluation may include latency, energy consumption, reliability, throughput, accuracy, scalability, or resource utilization.

Descriptions of prototypes without adequate technical evaluation or research contribution are generally not prioritized.

9. Data Engineering and Intelligent Data Processing Article

This manuscript type focuses on computational techniques and systems for collecting, preparing, managing, processing, integrating, and analyzing data.

Relevant topics include:

• Data preprocessing and data quality.
• Data integration and heterogeneous data processing.
• Big data architectures and distributed processing.
• Text mining and information extraction.
• Time-series analysis and forecasting.
• Graph analytics and network analysis.
• Feature engineering and data representation.
• Data pipelines for machine learning.
• Efficient data processing and query optimization.
• Evaluation of data-driven computational methods.

Authors should describe the data characteristics, analytical procedures, methodological choices, evaluation methods, and contribution of the proposed approach.

Research should provide more than a descriptive account of data processing and should demonstrate an appropriate analytical or technical contribution.

10. Review Article

JCB may consider review articles that provide a structured, critical, and academically rigorous synthesis of research in the journal’s areas of interest.

Review articles may examine the development of computational methods, software engineering approaches, information security techniques, computational intelligence, or intelligent information systems.

A review article should clearly state its objectives, explain the literature search and selection methods, identify the sources examined, and present a coherent synthesis of the findings.

Systematic reviews and other structured evidence-synthesis studies should describe their search strategies, inclusion and exclusion criteria, screening procedures, analytical methods, and limitations, as appropriate to the selected methodology.

Review articles should identify trends, unresolved problems, methodological limitations, and opportunities for future research.

A review that merely lists or summarizes previous publications without critical analysis or a meaningful synthesis is generally not prioritized.

The acceptance of review articles is subject to the journal’s editorial capacity and the scholarly contribution of the submission.

11. Technical Notes and Short Communications

JCB may consider concise scholarly contributions that report a clearly defined technical finding, methodological clarification, significant experimental observation, or focused improvement relevant to computer science and informatics.

Such submissions must present a meaningful and verifiable contribution despite their limited length.

Technical notes and short communications are not intended for preliminary descriptions of routine software development, incomplete studies, or reports that lack sufficient evidence.

Their availability and submission requirements are subject to the journal’s current editorial policy.

12. Manuscripts Not Prioritized for Publication

JCB generally does not prioritize manuscripts that consist primarily of:

• Routine software development without a clear scholarly contribution.
• Basic CRUD applications without meaningful technical innovation or evaluation.
• Straightforward implementation of existing algorithms without adequate experimental or analytical assessment.
• Descriptive reports that do not establish a research gap or research contribution.
• Comparisons of algorithms conducted without an appropriate experimental design.
• System prototypes presented without evaluation relevant to the research objectives.
• Literature summaries that lack a transparent review method or critical synthesis.
• Manuscripts outside the journal’s Focus and Scope.

The editorial team evaluates each submission individually. The presence of an established technology or method does not automatically make a manuscript unsuitable; the decisive consideration is whether the study provides a meaningful contribution supported by appropriate evidence.

13. General Requirements for All Manuscript Types

Regardless of manuscript type, all submissions must:

1. Fall within the journal’s Focus and Scope.
2. Demonstrate an appropriate level of originality and scholarly contribution.
3. Present a clear research problem, objective, or review question.
4. Use a methodology appropriate to the research objectives.
5. Provide sufficient evidence to support the findings and conclusions.
6. Discuss relevant previous research accurately.
7. Use reliable and verifiable references.
8. Comply with the journal’s authorship criteria.
9. Disclose relevant funding sources and conflicts of interest.
10. Comply with applicable research ethics and publication integrity requirements.
11. Follow the official JCB manuscript template and submission instructions.
12. Undergo editorial screening and peer review in accordance with the journal’s policies.

14. Editorial Assessment and Publication Decision

The manuscript type selected by the author is used to guide the initial editorial assessment but does not determine the publication decision.

The editorial team evaluates the suitability of each manuscript based on its scope, originality, methodological quality, scientific contribution, presentation, and compliance with publication ethics.

Manuscripts may be returned for technical correction, rejected during initial screening, or sent for external peer review.

The final editorial decision is made by the authorized editor after considering the manuscript’s scholarly merit, relevant reviewer assessments, and the journal’s policies.

Submission under any manuscript category does not guarantee acceptance or publication.

15. Policy Review

JCB reviews its manuscript-type classifications periodically to ensure that they remain consistent with the journal’s Focus and Scope, editorial capacity, publication practices, and commitment to scholarly quality.

Any changes to accepted manuscript types will be reflected in the official JCB website and submission guidelines.