Focus and Scope

EduMatika: Jurnal MIPA (EMJU) is a peer-reviewed, open-access scholarly journal published by Lembaga Riset Mutiara Akbar (LARISMA), Indonesia. The journal provides an academic platform for researchers, lecturers, educators, scientists, practitioners, and scholars to disseminate original research findings, theoretical developments, methodological innovations, and scholarly perspectives in Mathematics and Natural Sciences (MIPA) and related educational and interdisciplinary fields.

EduMatika: Jurnal MIPA aims to promote the advancement of scientific knowledge in mathematics, statistics, physics, chemistry, biology, and natural sciences education. The journal encourages theoretical, empirical, experimental, computational, applied, and interdisciplinary research that contributes to scientific development, technological innovation, educational improvement, and the practical application of mathematics and natural sciences.

The journal welcomes original research articles, scholarly reviews, and interdisciplinary studies employing quantitative, qualitative, mixed-methods, experimental, computational, analytical, and other scientifically appropriate research approaches.

1. Mathematics and Applied Mathematics

This area covers theoretical, computational, and applied research in mathematics, including the development of mathematical concepts, methods, models, and their applications to scientific and real-world problems.

Relevant topics include:

  • Pure and applied mathematics.

  • Mathematical analysis and mathematical modeling.

  • Algebra, geometry, and number theory.

  • Differential equations and dynamical systems.

  • Numerical analysis and computational mathematics.

  • Mathematical optimization and operations research.

  • Discrete mathematics and combinatorics.

  • Mathematical logic and mathematical structures.

  • Mathematical modeling of physical, biological, and environmental systems.

  • Financial mathematics and mathematical economics.

  • Mathematical methods for engineering and technology.

  • Applied mathematical methods in interdisciplinary research.

The journal welcomes mathematical studies that demonstrate theoretical significance, methodological innovation, computational contributions, or practical applications.

2. Statistics and Data Science

This area includes theoretical and applied research involving statistical methods, data analysis, probabilistic modeling, and computational approaches to scientific problems.

Relevant topics include:

  • Probability theory and mathematical statistics.

  • Applied statistics and statistical inference.

  • Regression analysis and statistical modeling.

  • Multivariate statistical analysis.

  • Time-series analysis and forecasting.

  • Bayesian statistics and statistical computation.

  • Experimental design and sampling methods.

  • Statistical quality control.

  • Biostatistics and environmental statistics.

  • Spatial statistics and geostatistics.

  • Data mining and predictive analytics.

  • Statistical learning and machine learning.

  • Computational statistics and simulation.

  • Statistical applications in mathematics, natural sciences, education, and related fields.

Research in this area should demonstrate appropriate statistical methodology, rigorous analysis, and meaningful theoretical or applied contributions.

3. Physics and Applied Physics

This area encompasses theoretical, experimental, computational, and applied research in physics and related scientific disciplines.

Relevant topics include:

  • Classical and modern physics.

  • Mechanics and dynamical systems.

  • Thermodynamics and statistical physics.

  • Electricity and magnetism.

  • Optics and photonics.

  • Acoustics and wave phenomena.

  • Quantum physics and theoretical physics.

  • Materials physics and condensed matter physics.

  • Computational physics and numerical simulation.

  • Geophysics and environmental physics.

  • Renewable energy and energy-related physics.

  • Instrumentation and experimental physics.

  • Applied physics and interdisciplinary physical sciences.

The journal welcomes physics research that contributes to the understanding of physical phenomena, the development of scientific methods, or the application of physical principles to practical problems.

4. Chemistry and Applied Chemistry

This area covers fundamental, experimental, analytical, computational, and applied research in chemistry.

Relevant topics include:

  • Organic and inorganic chemistry.

  • Physical chemistry and theoretical chemistry.

  • Analytical chemistry and chemical analysis.

  • Biochemistry and chemical biology.

  • Environmental chemistry.

  • Materials chemistry and nanochemistry.

  • Computational chemistry and molecular modeling.

  • Electrochemistry and chemical kinetics.

  • Natural products chemistry.

  • Food chemistry and chemical applications in agriculture.

  • Green chemistry and sustainable chemical processes.

  • Chemical synthesis and characterization.

  • Applied chemistry and interdisciplinary chemical sciences.

Research should present scientifically valid methods, reliable findings, and meaningful contributions to chemical knowledge or its applications.

5. Biology and Applied Biological Sciences

This area includes theoretical, experimental, observational, computational, and applied research in biology and related life sciences.

Relevant topics include:

  • General biology and biological sciences.

  • Botany, zoology, and microbiology.

  • Ecology and environmental biology.

  • Biodiversity and biological conservation.

  • Genetics and molecular biology.

  • Cell biology and developmental biology.

  • Physiology and biological processes.

  • Biotechnology and applied microbiology.

  • Bioinformatics and computational biology.

  • Agricultural biology and plant sciences.

  • Marine and aquatic biology.

  • Biological resources and natural products.

  • Environmental monitoring and ecosystem studies.

  • Applied biology and interdisciplinary life sciences.

The journal welcomes biological studies that contribute to scientific understanding, methodological development, environmental sustainability, or practical applications of biological knowledge.

6. Mathematics and Natural Sciences Education

This area covers theoretical and empirical research related to the teaching, learning, curriculum development, and educational improvement of mathematics and natural sciences at various educational levels.

Relevant topics include:

  • Mathematics education and mathematical literacy.

  • Biology education and biological literacy.

  • Chemistry education and chemical literacy.

  • Physics education and scientific reasoning.

  • Integrated science education.

  • Mathematics and science teaching strategies.

  • Curriculum development and instructional design.

  • Educational assessment, measurement, and evaluation.

  • Mathematical problem-solving and higher-order thinking skills.

  • Scientific inquiry and laboratory-based learning.

  • Students' misconceptions and conceptual understanding.

  • Learning motivation, attitudes, and academic achievement.

  • Teacher education and professional development.

  • Classroom action research in mathematics and science education.

  • Research and development of instructional materials.

  • Contextual learning, ethnomathematics, and local wisdom in MIPA education.

Research in this area should demonstrate a clear contribution to educational theory, instructional practices, curriculum development, assessment, or learning outcomes in mathematics and natural sciences.

7. Educational Technology, Computational Science, and Scientific Innovation

This area includes research on technological and computational innovations that support mathematics, natural sciences, scientific analysis, or MIPA education.

Relevant topics include:

  • Educational technology for mathematics and natural sciences.

  • Digital learning media and interactive multimedia.

  • E-learning, blended learning, and online science education.

  • Virtual laboratories and scientific simulations.

  • Artificial intelligence applications in mathematics and natural sciences.

  • Machine learning for scientific data analysis.

  • Computational modeling and numerical simulation.

  • Scientific computing and computational methods.

  • Data visualization and scientific information processing.

  • Mathematical and scientific software development.

  • Augmented reality and virtual reality in MIPA learning.

  • Adaptive learning systems and educational data analytics.

  • Development of digital scientific instruments and tools.

  • Technology-based scientific and educational innovation.

Technology-related manuscripts should demonstrate a meaningful connection to mathematics, statistics, physics, chemistry, biology, natural sciences, or MIPA education.

8. Interdisciplinary Mathematics and Natural Sciences Research

EduMatika: Jurnal MIPA encourages interdisciplinary research integrating mathematics, statistics, physics, chemistry, biology, and related scientific disciplines to address theoretical, technological, educational, environmental, and societal challenges.

Relevant topics include:

  • Interdisciplinary mathematical and scientific modeling.

  • Applied statistics in natural sciences.

  • Mathematical biology and mathematical physics.

  • Biophysics and biochemistry.

  • Environmental science and sustainability.

  • Computational biology and bioinformatics.

  • Mathematical and statistical approaches to environmental problems.

  • Scientific applications in agriculture and natural resource management.

  • Renewable energy and sustainable technologies.

  • Materials science and interdisciplinary scientific applications.

  • Science, Technology, Engineering, and Mathematics (STEM) education.

  • Interdisciplinary science learning and curriculum development.

  • Scientific approaches to community and environmental challenges.

  • Data-driven approaches to scientific and applied research.

Interdisciplinary manuscripts are considered based on their relevance to mathematics and natural sciences, methodological rigor, originality, and contribution to scientific knowledge or practical applications.

9. Research Approaches and Scholarly Contributions

EduMatika: Jurnal MIPA accepts research employing appropriate and scientifically rigorous methodologies, including:

  • Quantitative research.

  • Qualitative research.

  • Mixed-methods research.

  • Experimental and quasi-experimental studies.

  • Laboratory-based and field research.

  • Theoretical and analytical research.

  • Mathematical modeling and simulation.

  • Computational and numerical research.

  • Statistical analysis and predictive modeling.

  • Survey and correlational research.

  • Case studies and comparative research.

  • Research and development.

  • Classroom action research.

  • Design-based research.

  • Literature reviews, systematic reviews, and meta-analyses.

All manuscripts must demonstrate clear research objectives, appropriate methodological procedures, sound analysis, and meaningful scholarly contributions.

The journal prioritizes manuscripts presenting original findings, theoretical advancements, methodological innovations, reliable experimental results, and conclusions consistent with the evidence and research methods employed.

10. Scope and Editorial Considerations

EduMatika: Jurnal MIPA welcomes manuscripts from national and international researchers whose work contributes to the development of knowledge in mathematics, statistics, physics, chemistry, biology, natural sciences education, and relevant interdisciplinary fields.

Submissions are evaluated according to:

  1. Relevance to the journal's focus and scope.

  2. Originality and significance of the scholarly contribution.

  3. Clarity of research objectives and academic arguments.

  4. Appropriateness and rigor of research methodology.

  5. Quality of data analysis, findings, and discussion.

  6. Relevance and reliability of scholarly references.

  7. Compliance with research integrity and publication ethics.

  8. Clarity, coherence, and quality of academic presentation.

The journal does not restrict submissions to studies conducted in Indonesia. Research addressing international, comparative, regional, national, and local contexts is welcome when it offers meaningful scholarly contributions.

Manuscripts addressing general social sciences, business, law, humanities, or information technology without a substantive connection to mathematics, statistics, natural sciences, or MIPA education may be considered outside the journal's scope.

Similarly, interdisciplinary research must demonstrate a clear scientific, mathematical, statistical, or educational contribution consistent with the journal's stated aims.

Manuscripts that fall outside the journal's scope or do not meet its basic academic and editorial requirements may be declined during initial editorial screening.

Through its multidisciplinary orientation within Mathematics and Natural Sciences, EduMatika: Jurnal MIPA (EMJU) seeks to strengthen scholarly communication and support the dissemination of research that advances mathematics, statistics, physics, chemistry, biology, natural sciences education, and related interdisciplinary scientific knowledge.