Aims and Scope

Jurnal MSA (Matematika dan Statistika serta Aplikasinya)

1. Objectives

Jurnal MSA (Matematika dan Statistika serta Aplikasinya) is a scholarly journal dedicated to the publication, communication, and dissemination of high-quality scientific research in mathematics, statistics, and their applications across various disciplines.

Jurnal MSA is committed to advancing scientific knowledge by publishing original research that makes theoretical, methodological, computational, or empirical contributions, supported by systematic, objective, and scientifically rigorous approaches.

Specifically, Jurnal MSA aims to:

  1. Advance mathematical and statistical sciences by publishing research that contributes to the development of mathematical concepts, theories, principles, and statistical methodologies.

  2. Promote methodological and computational innovations through the development of mathematical models, statistical methods, algorithms, optimization techniques, simulations, and data analysis approaches.

  3. Encourage the application of mathematics and statistics to address real-world problems in science, technology, economics, finance, business, industry, education, healthcare, and related fields.

  4. Maintain high standards of scientific quality and integrity by promoting originality, methodological rigor, research transparency, publication ethics, and independent peer review.

  5. Foster multidisciplinary research collaboration among academics, researchers, and practitioners in the development and application of mathematical and statistical theories and methods.

  6. Support open dissemination of scientific knowledge by providing accessible scholarly publications that can be used by the academic community and other stakeholders in accordance with the journal's open-access policies.

  7. Strengthen the contribution of research to scientific advancement and evidence-based decision-making through mathematical approaches, statistical methodologies, modeling, and data-driven analysis.

2. Scientific Focus

Jurnal MSA primarily focuses on two core scientific disciplines: Mathematics and Statistics, including their theoretical development, methodological advances, computational approaches, and practical applications.

The journal welcomes research that makes scientific contributions through mathematical proofs, model formulation, statistical methodology development, theoretical analysis, computational simulation, and empirical investigation.

Multidisciplinary research is considered when mathematics or statistics plays a substantive role in problem formulation, methodological development, analytical procedures, or the interpretation of research findings.

3. Scope

The journal's scope encompasses the following research areas.

3.1 Pure Mathematics

Research in pure mathematics that contributes to the development of mathematical concepts, structures, theories, and rigorous proofs, including:

  • Algebra and algebraic structures.

  • Mathematical analysis and functional analysis.

  • Geometry and topology.

  • Number theory.

  • Combinatorics and discrete mathematics.

  • Mathematical logic and set theory.

  • Graph theory and its applications.

3.2 Applied Mathematics and Mathematical Modeling

Research that develops or applies mathematical concepts and models to explain, analyze, predict, or solve scientific problems, including:

  • Mathematical modeling.

  • Differential equations and dynamical systems.

  • Linear and nonlinear optimization.

  • Operations research.

  • Financial and actuarial mathematics.

  • Stochastic modeling.

  • Mathematical models in science and technology.

3.3 Probability Theory and Stochastic Processes

Research focusing on the development of probability theory and mathematical models of uncertainty and random processes, including:

  • Probability theory and probability distributions.

  • Stochastic processes and Markov chains.

  • Queueing theory.

  • Reliability theory.

  • Probability-based risk analysis.

  • Probabilistic models and stochastic simulation.

3.4 Statistical Theory and Methodology

Research contributing to statistical theory, methodological development, and inferential techniques, including:

  • Estimation theory and hypothesis testing.

  • Regression analysis and linear models.

  • Generalized linear models.

  • Multivariate statistical analysis.

  • Bayesian statistics.

  • Nonparametric and semiparametric statistics.

  • Categorical data analysis.

  • Longitudinal and panel data analysis.

  • Time series analysis.

  • Survival analysis.

  • Experimental design and sampling methodologies.

3.5 Applied Statistics and Data Analysis

Research involving the application or evaluation of statistical methodologies in empirical contexts, including:

  • Empirical data analysis and modeling.

  • Economic and business statistics.

  • Industrial statistics and quality control.

  • Health data analysis and biostatistics.

  • Environmental and spatial statistics.

  • Educational statistics and assessment.

  • Statistical modeling and prediction.

  • Data-driven decision-making.

3.6 Computational Mathematics and Statistics

Research developing or applying computational methods to mathematical and statistical problems, including:

  • Numerical methods and numerical analysis.

  • Mathematical computational algorithms.

  • Monte Carlo simulation.

  • Computational statistical methods.

  • Numerical optimization.

  • Scientific computing.

  • Algorithm evaluation and computational efficiency.

3.7 Statistical Machine Learning and Data Mining

Research developing, evaluating, or applying statistical and computational approaches to pattern discovery, classification, prediction, and knowledge extraction from data, including:

  • Statistical machine learning.

  • Supervised and unsupervised learning.

  • Classification, regression, and predictive modeling.

  • Cluster analysis and dimensionality reduction.

  • Feature selection and feature engineering.

  • Data mining and pattern recognition.

  • Predictive model evaluation and validation.

  • Model interpretability and uncertainty analysis.

Manuscripts in this area must demonstrate a clear mathematical, statistical, or methodological contribution rather than merely implementing software tools or applying standard algorithms without sufficient scientific analysis.

3.8 Multidisciplinary Applications of Mathematics and Statistics

Jurnal MSA welcomes multidisciplinary studies in which mathematics and statistics provide a substantive theoretical, methodological, or analytical foundation, including applications in:

  • Finance, economics, and business.

  • Engineering and technology.

  • Industry and manufacturing.

  • Education and learning assessment.

  • Biology and life sciences.

  • Physics and chemistry.

  • Healthcare and biomedical sciences.

  • Environmental sciences and natural resources.

  • Other scientific disciplines with substantial mathematical or statistical relevance.

Multidisciplinary manuscripts must clearly demonstrate the contribution of mathematical or statistical models, methods, analyses, or interpretations to the problems being investigated.

4. Scientific Characteristics and Manuscript Criteria

Manuscripts submitted to Jurnal MSA are expected to meet the following criteria:

  1. Originality: Present original research findings that have not been previously published and are not under consideration elsewhere.

  2. Scientific Contribution: Demonstrate a clear theoretical, methodological, computational, or empirical contribution.

  3. Methodological Rigor: Apply appropriate mathematical or statistical approaches, supported by clearly defined assumptions and scientifically justified analytical procedures.

  4. Validity of Findings: Present mathematical evidence, statistical analyses, or computational results that adequately support the research conclusions.

  5. Reproducibility or Verifiability: Provide sufficiently detailed methodological descriptions to enable independent verification or replication, where appropriate to the nature of the research.

  6. Scientific Relevance: Demonstrate substantive relevance to the journal's focus and scope.

  7. Clarity of Presentation: Follow a systematic, coherent, and academically appropriate structure in accordance with the journal's author guidelines.

5. Types of Manuscripts Considered

Jurnal MSA primarily accepts original research articles presenting new scientific findings in mathematics, statistics, and their applications.

Eligible manuscripts may involve theoretical investigations, methodological developments, computational studies, simulations, or empirical research, provided that they demonstrate clear scientific contributions and align with the journal's scope.

Important Editorial Policy: Effective January 1, 2026, Jurnal MSA no longer accepts manuscripts classified as systematic literature reviews (SLRs), in accordance with its stated editorial policy.

Other manuscript types may be considered only in accordance with the policies and decisions of the Editorial Board.

6. Out-of-Scope Manuscripts

To maintain the journal's scientific focus and publication quality, the following types of manuscripts are generally considered outside the journal's publication priorities:

  1. Studies without substantive relevance to mathematics, statistics, or their applications.

  2. Manuscripts presenting only descriptive data without sufficient mathematical or statistical analysis.

  3. Studies limited to implementing existing software or standard algorithms without clearly defined research objectives, adequate evaluation, or meaningful scientific contributions.

  4. Manuscripts lacking clearly formulated research problems, appropriate methodologies, verifiable results, or scientifically supported conclusions.

  5. Manuscripts that fail to comply with originality requirements and publication ethics.

  6. Systematic literature review articles excluded under the journal's editorial policy.

The Editorial Board evaluates the suitability of submitted manuscripts during the initial editorial screening process.

7. Commitment to Scientific Quality and Integrity

Jurnal MSA is committed to maintaining high publication standards through objective editorial assessment, independent peer review, and adherence to established principles of publication ethics.

Each submission is evaluated based on its relevance to the journal's scope, originality, methodological quality, validity of findings, scientific contribution, and clarity of presentation.

Jurnal MSA supports open access to scholarly publications to facilitate the dissemination of scientific knowledge and enhance the accessibility and utilization of research findings by the academic community and the wider public.

Through these commitments, Jurnal MSA seeks to contribute to the advancement of mathematics, statistics, and their applications in addressing scientific challenges and societal needs.

8. Manuscript Submission Information

Authors intending to submit manuscripts to Jurnal MSA must ensure that their work aligns with the journal's objectives and scope and complies with all applicable manuscript preparation requirements and publication policies.

Detailed information on manuscript preparation, author guidelines, and submission procedures is available through the following official links.

Jurnal MSA Website:

https://journal.uin-alauddin.ac.id/index.php/msa

Author Guidelines and Manuscript Submission:

https://journal.uin-alauddin.ac.id/index.php/msa/about/submissions