Jurnal Matematika Sains dan Teknologi (JMST)

Aims

Journal of Mathematics, Science and Technology (JMST) is a peer-reviewed scholarly journal that publishes high-quality research in applied mathematics, statistics, computational science, data science, and quantitative technology. The journal focuses on the development and application of rigorous quantitative methods to address real-world problems, particularly those relevant to Indonesia and other developing regions.

JMST aims to strengthen the role of mathematical, statistical, and computational sciences in supporting evidence-based decision making, public policy, technological innovation, and sustainable national development. The journal promotes research that combines methodological soundness with practical relevance, especially in areas where quantitative approaches can contribute to solving complex social, economic, environmental, educational, health, and technological challenges.

The journal gives particular attention to studies that reflect Indonesia’s distinctive characteristics as a large, diverse, tropical, archipelagic, and rapidly transforming country. These include issues related to regional disparities, population dynamics, public health, education, environmental sustainability, agriculture, fisheries, maritime resources, disaster risk, digital transformation, and socio-economic development.

JMST welcomes interdisciplinary research that integrates mathematical modeling, statistical inference, computational methods, machine learning, artificial intelligence, optimization, simulation, spatial analytics, and data visualization. The journal prioritizes manuscripts that demonstrate methodological rigor, analytical novelty, reproducibility, and practical implications for national or regional development.

JMST seeks to become a reputable national journal with international visibility by publishing research that is locally grounded, methodologically robust, and scientifically relevant to broader global discussions on applied quantitative sciences.

Scope

JMST welcomes research that applies mathematical concepts, models, and computational techniques to solve practical problems in Indonesia and comparable developing contexts.

Relevant topics include:

• Applied mathematical modeling;including population modeling, environmental modeling, epidemiological models, industrial process modeling, and socio-economic systems.
• Numerical methods and scientific computing;including numerical analysis, finite element methods, differential equation solvers, high-performance computing, and computational algorithms.
• Optimization and operations research;including linear and nonlinear optimization, scheduling, supply chain optimization, network optimization, and multi-criteria decision making.
• Simulation of real-world systems;including agent-based simulation, Monte Carlo simulation, discrete-event simulation, and system performance analysis.
• Dynamical systems and system modeling;including stability analysis, control systems, nonlinear systems, time-series modeling, and complex systems analysis.
• Decision modeling and quantitative decision support;including predictive analytics, risk analysis, decision support systems, data-driven policy analysis, and intelligent decision models.