EduAnalytica Journal Portal is an open-access academic publishing platform that hosts a collection of scholarly journals covering statistics, data analytics, technology, economics, econometrics, multidisciplinary research, community development, nonparametric methods, time series, and forecasting. The portal provides researchers, academics, practitioners, students, and readers with access to original research and scholarly publications through journals managed by EduAnalytica. Our current journals include StatX, AdMute, Inference, InovMas, Nonpar, ForeStat, and EcoX, each with its own focus and scope, editorial policies, peer-review process, and publication schedule.
Jurnal
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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 ISSN 3164-2217, 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.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 : 3164-2217 Print ISSN : 3164-2217 Online ISSN : 3164-2217 Editor-in-chief : Muhammad Zulfadhli, S.Stat., M.Stat. [Sinta ID : 7017502] [Scopus ID : 58408778100] Citation Analysis : Scopus|Dimensions|Google Scholar Publisher : EduAnalytica Indexing : google schoolar and view more OAI : https://journal.eduanalytica.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).
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AdMute: Journal of Advanced Multidisciplinary Technology
AdMute: Journal of Advanced Multidisciplinary Technology is an open-access journal published by EduAnalytica, focusing on innovative developments in the field across multidisciplinary fields, including economics, social sciences, law, natural sciences, education, engineering, health sciences, religious studies, arts, and technology. The journal publishes four issues annually, with editions released in March, June, September and December. Since its establishment in 2026, AdMute has become a platform for original research articles that offer significant contributions through theoretical advancements, methodological innovations, and relevant applied technology across diverse domains.
The journal is registered with 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), AdMute is available online at https://journal.eduanalytica.id/index.php/admute/. 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 : AdMute: Journal of Advanced Multidisciplinary Technology 
Initials : AdMute Publications : 4 issues per year (March, June, September, December) DOI : prefix xxx by crossref Acreditation : xxxx-xxxx Print ISSN : xxxx-xxxx Online ISSN : xxxx-xxxx Editor-in-chief : Dr. Joko Purwadi S.Si, M.Sc. [Sinta ID : 6082778] [Scopus ID : 57218919126] Citation Analysis : Scopus|Dimensions|Google Scholar Publisher : EduAnalytica Indexing : google schoolar and view more OAI : https://journal.eduanalytica.id/index.php/admute/en/index ADMUTE: Journal of Advanced Multidisciplinary Technology
As a double-blind peer-reviewed journal, AdMute: Journal of Advanced Multidisciplinary Technology publishes one volume per year, consisting of four regular issues released in March, June, September and December. We accept manuscript submissions from authors worldwide covering broad multidisciplinary topics, including economics, social sciences, law, natural sciences, education, engineering, health sciences, religious studies, arts, and technology. 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.
AdMute 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 AdMute Online Journal System (OJS).
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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.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.
Journal Information
Title : Inference: International Journal of Regression and Data Science 
Initials : Inference Publications : 2 issues per year (June and December) DOI : prefix xxx by crossref Acreditation : xxxx-xxxx Print ISSN : xxxx-xxxx Online ISSN : xxxx-xxxx Editor-in-chief : Muhammad Zulfadhli, S.Stat., M.Stat. [Sinta ID : 7017502] [Scopus ID : 58408778100] Citation Analysis : Scopus|Dimensions|Google Scholar Publisher : EduAnalytica Indexing : google schoolar and view more OAI : https://journal.eduanalytica.id/index.php/inference/en/index Inference: International Journal of Regression and Data Science
As a double-blind peer-reviewed journal, Inference: International Journal of Regression and Data Science publishes one volume per year, consisting of four regular issues released in June and December. We accept manuscript submissions from authors worldwide covering broad regression analysis and data science. 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.
Inference 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 Inference Online Journal System (OJS).
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InovMas: Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat
InovMas: Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat is an open-access journal published by EduAnalytica, focusing on innovative developments in Pengabdian dan Pemberdayaan Masyarakat, including economics, social sciences, law, natural sciences, education, engineering, health sciences, religious studies, arts, and technology. The journal publishes two issues annually, with editions released in April and October. Since its establishment in 2026, InovMas has become a platform for original research articles that offer significant contributions through theoretical advancements, methodological innovations, and relevant applied technology across diverse domains.
The journal is registered with 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), InovMas is available online at https://journal.eduanalytica.id/index.php/inovmas/. 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 : InovMas: Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat 
Initials : InovMas Publications : 2 issues per year (April and October) DOI : prefix xxx by crossref Acreditation : xxxx-xxxx Print ISSN : xxxx-xxxx Online ISSN : xxxx-xxxx Editor-in-chief : Muhammad Zulfadhli, S.Stat., M.Stat. [Sinta ID : 7017502] [Scopus ID : 58408778100] Citation Analysis : Scopus|Dimensions|Google Scholar Publisher : EduAnalytica Indexing : google schoolar and view more OAI : https://journal.eduanalytica.id/index.php/inovmas/en/index InovMas: Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat
As a double-blind peer-reviewed journal, InovMas: Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat publishes one volume per year, consisting of four regular issues released in April and October. We accept manuscript submissions from authors worldwide covering broad Inovasi Pengabdian dan Pemberdayaan Masyarakat. All articles must be written in 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.
InovMas 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 InovMas Online Journal System (OJS).
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Nonpar: Journal of Nonparametric Regression
Nonpar: Journal of Nonparametric Regression is an open-access journal published by EduAnalytica, dedicated to advancing the field of nonparametric and semiparametric regression modeling. The journal publishes two issues annually, with editions released in January and July. Since its inception in 2027, Nonpar has served as an international platform for original research articles that significantly contribute to the development of flexible estimation techniques, smoothing methodologies, and their practical applications across diverse disciplines.
The journal covers a wide range of topics, including but not limited to, spline-based regression, Fourier series estimators, kernel smoothing, wavelet regression, penalized regression methods, semiparametric modeling, and high-dimensional nonparametric inference.
Nonpar serves as a vital resource for statisticians, data scientists, researchers, and practitioners, providing deep insights into theoretical innovations, computational implementations, and real-world statistical applications.
The journal is registered with e-ISSN xxxx-xxxx, and each published article is assigned a unique Digital Object Identifier (DOI) to ensure long-term accessibility and citation tracking. Managed using Open Journal Systems (OJS), Nonpar is available online at https://journal.eduanalytica.id/index.php/nonpar. For detailed information regarding the journal's focus, scope, and submission guidelines, please visit the dedicated Focus and Scope section on the official website.
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ForeStat: Internasional Journal of Time Series and Forecasting 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 February and August. Since its inception in 2027, 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.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.
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EcoX: Journal of Applied Economics and Econometric Analysis
EcoX: Journal of Applied Economics and Econometric Analysis is an open-access journal published by EduAnalytica, dedicated to advancing the fields of empirical economics, econometric modeling, and quantitative policy analysis. The journal publishes two issues annually, with editions released in March and September. Since its inception in 2027, EcoX has served as an international platform for high-quality, original research articles that contribute to the understanding of economic phenomena through rigorous quantitative and statistical methodologies.
The journal covers a wide range of topics, including but not limited to, microeconometrics, macroeconometric modeling, financial econometrics, panel data analysis, spatial economics, development economics, and quantitative policy evaluation.
EcoX serves as a vital resource for economists, researchers, policymakers, and data analysts, providing valuable insights into modern economic theories, cutting-edge econometric techniques, and evidence-based economic decision-making.
The journal is registered with e-ISSN xxxx-xxxx, and each published article is assigned a unique Digital Object Identifier (DOI) to ensure long-term accessibility and citation tracking. Managed using Open Journal Systems (OJS), EconStat is available online at https://journal.eduanalytica.id/index.php/ecox. For detailed information regarding the journal's focus, scope, and submission guidelines, please visit the dedicated Focus and Scope section on the official website.
