Author Guidelines

Journal of Statistics and Data Analytics

Author Guidelines

Submission Summary: Authors submitting manuscripts to Journal of Statistics and Data Analytics (JSDA) must ensure that the manuscript is original, scientifically rigorous, within the journal's aims and scope, and prepared according to the official JSDA template. Manuscripts should clearly present the research problem, statistical or analytical methodology, data, results, interpretation, and contribution to statistics or data analytics.

A. GENERAL REQUIREMENTS

  • The manuscript must be original and must not have been published previously.
  • The manuscript must not be under consideration by another journal or publisher at the time of submission.
  • The manuscript must fall within the Aims and Scope of JSDA.
  • Authors must use the official JSDA article template.
  • The manuscript should be written in clear academic English.
  • Authors are responsible for the accuracy of data, statistical analyses, equations, citations, tables, figures, and references.
  • All manuscripts are subject to initial editorial screening, originality checking, and peer review.
  • Manuscripts that do not meet the journal's minimum editorial requirements may be returned to the authors before peer review.

B. TYPES OF MANUSCRIPTS

Original Research Article Methodological Paper Applied Statistical Study
Computational Study Review Article Data Analytics Case Study

C. MANUSCRIPT PREPARATION

Authors must prepare manuscripts using the official JSDA template and should maintain consistency in headings, font, spacing, equations, tables, figures, citations, and references.

The manuscript should be sufficiently detailed to allow readers to understand the research design, data, statistical methodology, computational procedures, and analytical conclusions.

D. MANUSCRIPT STRUCTURE

Title Concise, informative, and representative of the main study.
Authors & Affiliations Full author names, institutional affiliations, country, and corresponding author information.
Abstract Approximately 150–250 words.
Keywords 3–6 relevant keywords.
Introduction Background, research problem, literature context, research gap, contribution, and objective.
Methods Data, statistical methodology, analytical procedures, assumptions, software, and validation.
Results Clear presentation of statistical, computational, or analytical findings.
Discussion Interpretation, comparison with previous studies, implications, and limitations.
Conclusion Main findings, contribution, implications, and possible future research.
References Complete and consistent reference list.

E. TITLE

The title should be clear, specific, informative, and accurately represent the principal statistical, methodological, or analytical contribution of the manuscript. Authors should avoid unnecessary abbreviations, overly general wording, and excessively long titles.

F. ABSTRACT

The abstract should be approximately 150–250 words and should provide a concise, self-contained summary of the manuscript.

The abstract should normally include:

  • background or research problem;
  • objective of the study;
  • data or research context;
  • statistical or analytical method;
  • main results;
  • principal conclusion or contribution.

G. KEYWORDS

Authors should provide 3–6 keywords that accurately represent the statistical methodology, analytical approach, data type, or application domain of the manuscript. Keywords should not simply repeat all words already contained in the article title.

H. INTRODUCTION

The Introduction should establish the scientific context of the study and clearly explain why the research is necessary.

The Introduction should generally address:

  • the background and importance of the problem;
  • relevant statistical, methodological, or applied literature;
  • limitations or gaps in previous approaches;
  • the research problem or question;
  • the novelty or contribution of the study;
  • the objective of the research.

I. METHODS

The Methods section must provide sufficient information to allow readers to understand, evaluate, and where appropriate, reproduce the statistical or computational analysis.

Depending on the study, authors should explain:

  • data sources and data characteristics;
  • population and sampling procedures;
  • sample size and its justification, where relevant;
  • variables and measurement procedures;
  • statistical model or analytical method;
  • mathematical formulation where appropriate;
  • model assumptions;
  • parameter estimation procedures;
  • hypothesis testing procedures;
  • model diagnostics and goodness-of-fit assessment;
  • validation or cross-validation procedures;
  • simulation design, where applicable;
  • statistical software, programming language, and relevant packages.

J. STATISTICAL REPORTING

Because JSDA focuses on statistics and data analytics, authors are expected to report statistical analyses transparently and with sufficient methodological detail.

  • Report estimates together with measures of uncertainty where appropriate.
  • Provide confidence intervals when relevant.
  • Report exact or appropriately rounded p-values rather than only significance labels.
  • State the statistical significance level when hypothesis testing is used.
  • Distinguish statistical significance from substantive or practical significance.
  • Report effect sizes where they are relevant.
  • Describe how missing data and outliers were handled.
  • State how multiple testing was addressed where relevant.
  • Report assumptions and diagnostic procedures for statistical models.
  • Avoid overstating causal conclusions when the study design supports only association.

K. RESULTS

The Results section should present the main statistical, computational, or analytical findings clearly and systematically. Tables and figures should support, rather than duplicate, the text. Authors should report not only whether an effect or relationship exists, but also its magnitude, uncertainty, model performance, or predictive accuracy where appropriate.

L. DISCUSSION

The Discussion should interpret the results rather than merely repeat them.

Authors should consider:

  • the meaning of the main findings;
  • comparison with previous studies;
  • methodological contribution;
  • practical or theoretical implications;
  • strengths of the proposed method;
  • limitations of the study;
  • possible extensions or future research.

M. CONCLUSION

The Conclusion should summarize the principal findings and clearly state the contribution of the study. It should be concise and should not merely repeat the Results or Abstract. Where appropriate, authors may briefly mention implications, limitations, and directions for future research.

N. MATHEMATICAL EQUATIONS

Mathematical expressions must be clear, consistent, and properly formatted. Variables, parameters, symbols, vectors, and matrices should be defined when first introduced. Displayed equations should be numbered sequentially when they are referred to elsewhere in the manuscript. Authors should ensure that mathematical notation is consistent throughout the article.

O. TABLES AND FIGURES

Tables

Tables should be numbered sequentially and supplied with concise, informative titles. Each table should be discussed in the main text. Avoid unnecessary duplication between tables and figures.

 Figures

Figures, graphs, and visualizations should be clear, readable, and of sufficient resolution. Axes, legends, units, symbols, and labels must be clearly identified.

P. DATA AND REPRODUCIBILITY

Authors are encouraged to provide sufficient information to support reproducibility of their analyses. Where legally, ethically, and practically possible, authors are encouraged to make data, code, simulation procedures, algorithms, and analytical scripts available through appropriate repositories or supplementary materials. Restrictions on data access should be clearly explained.

Q. RESEARCH ETHICS

Research involving human participants, personal data, health information, or other ethically sensitive data must comply with applicable ethical requirements. Where ethical approval or informed consent is required, authors should provide the relevant information in the manuscript. Data must not be fabricated, falsified, selectively manipulated, or misrepresented.

R. AUTHORSHIP AND CONTRIBUTIONS

All listed authors should have made a meaningful scholarly contribution to the work and should take responsibility for the content of the manuscript. Authors are encouraged to provide an Author Contributions statement describing the contribution of each author. Individuals who do not meet appropriate authorship criteria should not be listed as authors.

S. CONFLICT OF INTEREST

Authors must disclose financial, professional, institutional, personal, or other relationships that could reasonably be perceived as influencing the research or its interpretation. If no conflict exists, authors may state: “The authors declare no conflict of interest.”

T. FUNDING

Authors should identify the financial support or funding agencies that supported the research. Where no external funding was received, authors may state this explicitly.

U. USE OF AI TOOLS

Artificial intelligence tools cannot be listed as authors. Authors remain fully responsible for the accuracy, originality, validity, citations, statistical analysis, and integrity of all manuscript content. Substantive use of generative AI or similar tools in research, analysis, coding, or manuscript preparation should be transparently disclosed where appropriate.

V. CITATIONS AND REFERENCES

Citations and references should follow APA Style, 7th Edition. Authors should prioritize relevant, credible, primary, and recent scholarly literature.

  • Every in-text citation must appear in the reference list.
  • Every reference listed must be cited in the manuscript.
  • DOIs should be included where available.
  • Authors should verify the accuracy of author names, titles, years, journal names, volumes, issues, and page numbers.
  • References should be directly relevant to the manuscript.
  • Citation manipulation or unnecessary citation of unrelated sources is not permitted.

W. SUBMISSION PROCESS

Manuscripts should be submitted through the JSDA online submission system. Authors should ensure that all required metadata are entered accurately during submission.

X. SUBMISSION CHECKLIST

  • The manuscript is original and not under review elsewhere.
  • The manuscript fits the aims and scope of JSDA.
  • The official journal template has been used.
  • The title, abstract, and keywords are complete.
  • The research objective and contribution are clearly stated.
  • Statistical methods are adequately described and justified.
  • Model assumptions and diagnostics are reported where relevant.
  • Tables and figures are numbered and cited in the text.
  • Equations and symbols are consistent.
  • All citations correspond to references and vice versa.
  • References follow APA 7th Edition.
  • The manuscript has been carefully proofread.
  • Conflict of Interest and Funding statements are included where applicable.
  • Ethical approval or consent information is included where required.
  • Relevant use of AI tools has been disclosed where appropriate.
Important Note for Authors

The use of sophisticated statistical software, machine learning algorithms, or advanced computational techniques does not by itself constitute a sufficient scientific contribution. Manuscripts submitted to JSDA should demonstrate a clear contribution through statistical methodology, analytical rigor, model evaluation, interpretation, methodological comparison, or meaningful application to an important data problem.

Editorial Office

Journal of Statistics and Data Analytics
PT. Gammabeta Edu and Tech
Jl. Rijali RT 003 RW 001
Ambon 97123, Maluku, Indonesia
E-mail: jsda@gammabeta.id

Journal of Statistics and Data Analytics
Statistics • Data • Analytics

Published by PT. Gammabeta Edu and Tech