About the Journal

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Journal Title Indonesian Journal of Statistics and Its Applications
Abbreviation Indon. J. Stat. Appl. (IJSA)
Frequency 2–3 Issues per year
DOI 10.29244/ijsa
Online ISSN 2599-0802
Accreditation SINTA 3
Publisher Statistics & Data Science Program, IPB University
Language English
Indexing Google Scholar, SINTA, Garuda
Open Access CC BY License
 
Aims and Scope

Indonesian Journal of Statistics and Its Applications (IJSA) is an international, peer-reviewed, open-access journal dedicated to advancing statistical methodology and its applications across diverse domains. The journal publishes high-quality research integrating statistical theory, computational techniques, and data-driven approaches to address complex real-world problems.

IJSA emphasizes methodological rigor, reproducibility, and innovation in analyzing complex data, including high-dimensional, spatial-temporal, and heterogeneous datasets. The journal encourages contributions that bridge theory and practice and demonstrate both scientific advancement and real-world applicability.

While maintaining a broad scope, IJSA highlights applications in environmental, agricultural, and marine systems, reflecting global challenges in sustainability, climate change, and resource management.

Statistical Methodology
Statistical theory, regression, Bayesian methods, multivariate analysis.
Data Science & Machine Learning
AI, statistical learning, big data, interpretable ML.
Time Series & Spatial Statistics
Forecasting, spatio-temporal modeling, geostatistics.
Experimental Design
Survey methods, causal inference, sampling.
Risk & Decision Science
Reliability, uncertainty, statistical decision-making.
Socioeconomic Applications
Econometrics, policy analysis, social statistics.
Environmental & Agromaritime
Climate, agriculture, marine, sustainability analytics.

IJSA publishes original research articles and methodological contributions with strong novelty, technical soundness, and international relevance.

All submissions undergo a rigorous peer-review process to ensure scholarly quality and impact.