Journals

  • StatX: Journal of Advanced Statistical Methods and Applications

    StatX: Journal of Advanced Statistical Methods and Applications is an open-access journal published by EduAnalytica, focusing on innovative developments in the field of statistics. The journal publishes two issues annually, with editions released in May and November. Since its establishment in 2026, StatX has become a platform for original research articles that offer significant contributions to statistics, covering theoretical advancements, methodological innovations, and relevant data analytics applications.

    The journal is registered with e-ISSN xxxx-xxxx, and each published article is assigned a unique Digital Object Identifier (DOI) to ensure easy access and citation. Managed using the Open Journal Systems (OJS), StatX is available online at https://journal.eduanalytica.my.id/index.php/statx/. For more information on the journal's focus and scope, please visit the dedicated Focus and Scope page on the journal website.

    Journal Information

    Title : StatX: Journal of Advanced Statistical Methods and Applications
    Initials : StatX
    Publications : 2 issues per year (May, November)
    DOI : prefix xxx by crossref
    Acreditation : xxxx-xxxx
    Print ISSN : xxxx-xxxx
    Online ISSN : xxxx-xxxx
    Editor-in-chief : Muhammad Zulfadhli [Sinta ID : -] [Scopus]
    Citation Analysis : Scopus|Dimensions|Google Scholar
    Publisher : EduAnalytica in collaboration with xxxxx [Link SK]
    Indexing : google schoolar and view more
    OAI : https://journal.eduanalytica.my.id/index.php/statx/en/index

    StatX: Journal of Advanced Statistical Methods and Applications

    As a double-blind peer-reviewed journal, StatX: Journal of Advanced Statistical Methods and Applications publishes one volume per year, consisting of two regular issues released in May and November. We accept manuscript submissions from authors worldwide. All articles must be written in English or Indonesian, must be original (not previously published), and must not be under review at another journal. To ensure academic integrity, all manuscripts will be checked for plagiarism using Turnitin software. Manuscripts with a similarity index exceeding 20% will be automatically rejected without further review.

    StatX is indexed in leading databases such as Google Scholar, Crossref, and Garuda, ensuring broad visibility and academic recognition. Please note that manuscripts not adhering to the specified writing and formatting guidelines will be rejected prior to the review process. All manuscript submissions must be made through the StatX Online Journal System (OJS).

  • Inference: International Journal of Regression and Data Science

    Inference: International Journal of Regression and Data Science is an open-access journal published by EduAnalytica, dedicated to exploring innovative approaches and advancements in the field of regression analysis and data science. The journal publishes two issues annually, with editions released in June and December. Since its inception in 2026, Inference has served as a platform for original research articles that make substantial contributions to the understanding and application of regression models, data analysis techniques, and their integration across various scientific disciplines.

    The journal is registered with e-ISSN xxxx-xxxx, and each published article is assigned a unique Digital Object Identifier (DOI) to facilitate easy access and citation. Managed through the Open Journal Systems (OJS), Inference is available online at https://journal.eduanalytica.my.id/index.php/inference/. For more information about the journal's focus, scope, and submission guidelines, please visit the dedicated Focus and Scope page on the journal website.

  • JAMA: Journal of Advanced Multivariate Analysis

    JAMA: Journal of Advanced Multivariate Analysis is an open-access journal published by EduAnalytica, dedicated to exploring innovative developments in the field of multivariate analysis. The journal publishes two issues annually, with editions released in July and January. Since its inception in 2026, JAMA has become a prominent platform for original research articles that make significant contributions to the advancement of multivariate statistical methods. The journal covers a wide range of topics, including theoretical advancements, methodological innovations, and real-world applications in areas such as multivariate regression, factor analysis, cluster analysis, and dimensionality reduction techniques.

    JAMA aims to provide a comprehensive view of both the theory and application of multivariate analysis, supporting the exchange of ideas among researchers, practitioners, and educators.

    Each published article is assigned a unique Digital Object Identifier (DOI) for easy access and citation. Managed through the Open Journal Systems (OJS), JAMA is available online at https://journal.eduanalytica.my.id/index.php/jama. For more information on the journal's focus, scope, and submission guidelines, please visit the dedicated Focus and Scope page on the journal website.

  • ForeStat: Internasional Journal of Time Series and Forecsting Analysis

    ForeStat: International Journal of Time Series and Forecasting Analysis is an open-access journal published by EduAnalytica, dedicated to advancing the field of time series analysis and forecasting. The journal publishes two issues annually, with editions released in August and February. Since its inception in 2026, ForeStat has become a leading platform for original research articles that significantly contribute to the development of statistical models, forecasting techniques, and their applications across various domains. The journal covers a wide range of topics, including but not limited to, time series modeling, regression analysis, ARIMA, SARIMA, GARCH, and advanced predictive analytics.

    ForeStat serves as a vital resource for researchers, practitioners, and educators, providing insights into the latest theoretical advancements, innovative methodologies, and practical applications of time series analysis and forecasting.

    The journal is registered with e-ISSN xxxx-xxxx, and each published article is assigned a unique Digital Object Identifier (DOI) to ensure easy access and citation. Managed using Open Journal Systems (OJS), ForeStat is available online at https://journal.eduanalytica.my.id/index.php/forestat. For more information on the journal's focus, scope, and submission guidelines, please visit the dedicated Focus and Scope page on the journal website.