Focus and Scope

Aims

Applied Computational and Mathematical Modelling in Islamic Systems (ACMMIS) aims to advance the development and application of applied mathematical models and computational techniques for understanding and solving complex problems in Islamic systems and applications.

The journal seeks to:

• develop mathematical models for analysing dynamic and complex systems in Islamic contexts;
• advance computational and numerical methods for simulation, optimization, and prediction;
• promote interdisciplinary research integrating applied mathematics, computational science, and data-driven approaches;
• support quantitative research addressing real-world challenges in Islamic institutions and systems.

Scope

• Mathematical Modelling: dynamical systems, differential equations (ODE/PDE), stochastic modelling, optimization, and operations research;
• Computational Methods: numerical analysis, scientific computing, simulation, and high-performance computing;
• Data-Driven Modelling: statistical modelling, forecasting, and machine learning with strong mathematical grounding;
• Algorithm Development: computational algorithms for modelling, optimization, and large-scale systems;
• Systems Analysis: modelling and simulation of socio-economic and institutional systems.

Application Areas

• Islamic finance and economic systems;
• zakat, waqf, and Islamic social systems;
• Hajj and Umrah systems;
• halal industry and supply chain systems;
• Islamic digital platforms and information systems;
• public service systems in Muslim societies.

Out of Scope

• purely qualitative or descriptive studies without mathematical or computational methods;
• general mathematics or computer science without Islamic application;
• purely theological or humanities-based studies without quantitative modelling.

Section Policies

Matematika Terapan

Open Submissions

Indexed

Peer Reviewed

Aljabar

Open Submissions

Indexed

Peer Reviewed

Analisis

Open Submissions

Indexed

Peer Reviewed

Statistik

Open Submissions

Indexed

Peer Reviewed

Komputasi

Open Submissions

Indexed

Peer Reviewed

Peer Review Process

Review Policy

Saintis: Journal of Mathematical Data Science applies a rigorous double-blind peer review process to ensure the quality, originality, and scientific integrity of all published articles. In this review model, the identities of both authors and reviewers are concealed throughout the review process.

Every manuscript submitted to the journal is first evaluated by the editorial team to assess its suitability with respect to the journal’s focus, scope, and basic scholarly standards. Manuscripts that pass this initial screening are then sent for external peer review.

Review Process

• Each manuscript is reviewed by at least two independent reviewers who possess relevant expertise in the subject area of the submission.
• Reviewers are asked to provide objective, constructive, and confidential evaluations of the manuscript.
• Based on the reviewers’ reports, the editor will make one of the following decisions: accept, minor revision, major revision, or reject.

Review Criteria

Reviewers are requested to assess submissions based on the following criteria:

• Originality and novelty of the research contribution.
• Mathematical rigor, theoretical soundness, and methodological correctness.
• Relevance to the journal’s aims and scope.
• Clarity of problem formulation, analysis, and presentation.
• Adequacy of references and positioning within existing literature.
• Significance of results for mathematical data science and related fields.

Review Timeline

• The initial editorial screening is typically completed within 1–2 weeks after submission.
• The peer review process generally takes 4–6 weeks, depending on reviewer availability and the complexity of the manuscript.
• Authors are promptly informed of editorial decisions and reviewer comments through the journal’s online submission system.

Reviewer Selection and Ethics

• Reviewers are selected based on their academic qualifications, publication record, and expertise relevant to the manuscript topic.
• The journal avoids conflicts of interest by ensuring that reviewers have no personal, professional, or financial relationships with the authors.
• All reviewers are expected to adhere to principles of confidentiality, objectivity, and academic integrity throughout the review process.

Through this peer review policy, the journal is committed to maintaining high academic standards and ensuring that all published articles contribute meaningfully to the advancement of mathematical data science.

Publication Frequency

Saintis: Journal of Mathematical Data Science is published on a regular issue-based schedule. Articles are published collectively as part of a complete issue after completing the peer review and editorial process.

The journal is published four times a year (quarterly), with issues released in February, May, August, and November. Each calendar year constitutes one volume consisting of four numbered issues.

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

Archiving

This journal utilizes the LOCKSS system to create a distributed archiving system among participating libraries and permits those libraries to create permanent archives of the journal for purposes of preservation and restoration. More...

Publication Ethics and Malpractice Statement

Saintis: Journal of Mathematical Data Science is committed to upholding the highest standards of publication ethics and takes all possible measures against publication malpractice. This statement follows the principles and best practices recommended by the Committee on Publication Ethics (COPE).

Duties of Authors

• Authors must ensure that their manuscripts are original works and have not been published or submitted elsewhere.
• All data, results, and sources must be presented accurately and cited appropriately.
• Plagiarism, data fabrication, data falsification, and redundant publication are strictly prohibited.
• All authors listed must have made a significant contribution to the research.
• Any potential conflicts of interest must be clearly disclosed.

Duties of Editors

• Editors are responsible for deciding which articles submitted to the journal should be published, based solely on academic merit and relevance to the journal’s scope.
• Editors must evaluate manuscripts without regard to race, gender, religious belief, citizenship, or political philosophy of the authors.
• Editors and editorial staff must not disclose any information about a submitted manuscript to anyone other than the corresponding author, reviewers, or publisher.

Duties of Reviewers

• Reviewers assist editors in making editorial decisions and help authors improve the quality of their manuscripts.
• Reviewers must treat manuscripts as confidential documents.
• Reviews should be conducted objectively, with clear and supported arguments.
• Reviewers should identify relevant published work that has not been cited.

Ethical Oversight

• The journal will investigate allegations of misconduct in accordance with COPE guidelines.
• Articles found to involve unethical behavior may be rejected, retracted, or corrected.

Open Access Policy

Saintis: Journal of Mathematical Data Science provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. All articles are published under an open access license without subscription or paywall barriers.

Copyright and Licensing

Authors retain copyright of their work and grant the journal the right of first publication. Articles are published under a Creative Commons Attribution (CC BY) license unless otherwise stated.

Plagiarism Policy

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Complaint Policy

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Author Appeal Policy

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Declaration of Interest

Data Sharing

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Intellectual Property

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Errata & Corrigenda

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Article Withdrawal

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Article Processing Charges

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