Journal of Scientia Technologiae (JST) (E-ISSN: 3124-2502) is a distinguished scholarly journal dedicated to the advancement of Science and Technology. JST provides a robust academic platform for the dissemination of research in applied sciences, engineering, information technology, and technological innovation.

JST focuses on the development of critical, analytical, and interdisciplinary perspectives related to science, technology, engineering, applied research, digital transformation, artificial intelligence, data science, industrial innovation, and technological systems. Through empirical studies, experimental research, conceptual papers, and technical analyses, the journal aims to contribute to the advancement of scientific knowledge and technological progress at both national and international levels.

The journal encourages innovative and impactful research that supports scientific discovery, technological development, and practical solutions for contemporary global challenges.

 

Interdisciplinary Approach

Recognizing that science and technology are increasingly interconnected with multiple disciplines, Journal of Scientia Technologiae (JST) strongly promotes interdisciplinary research approaches integrating:

• Engineering
  • Computer Science and Information Technology
  • Data Science and Artificial Intelligence
  • Physics and Applied Mathematics
  • Industrial and Manufacturing Technology
  • Electrical and Mechanical Engineering
  • Environmental Technology
  • Applied Chemistry and Materials Science
  • Social Sciences (technology impact studies)

The journal welcomes contributions that explore multidimensional perspectives in areas such as technological innovation, smart systems, digital transformation, automation, sustainable engineering, computational modeling, and emerging technologies.

By encouraging interdisciplinary collaboration, JST aims to bridge theoretical research and practical technological solutions for global and industrial advancement.

 

Ethical Standards

With a strong commitment to academic integrity, publication ethics, and scientific transparency, Journal of Scientia Technologiae (JST) adheres to ethical publishing standards established by:

• Committee on Publication Ethics (COPE)
  • World Association of Medical Editors (WAME)
  • International Committee of Medical Journal Editors (ICMJE)

The journal ensures that authors, reviewers, editors, and all publishing stakeholders maintain ethical conduct throughout the editorial and publication process.

All submitted manuscripts undergo rigorous peer review and editorial screening to ensure originality, scientific quality, technical validity, and research integrity.

 

Key Areas of Focus (Focus and Scope)

The primary scientific interests of JST include:

• Artificial Intelligence and Machine Learning
  • Data Science and Big Data Analytics
  • Software Engineering and Information Systems
  • Computer Networks and Cybersecurity
  • Electrical and Electronics Engineering
  • Mechanical and Industrial Engineering
  • Civil and Structural Engineering
  • Robotics and Automation
  • Internet of Things (IoT)
  • Renewable Energy and Environmental Technology
  • Materials Science and Nanotechnology
  • Applied Physics and Computational Science
  • Digital Innovation and Smart Systems
  • Technology Management and Innovation Studies
  • Human–Computer Interaction

 

Commitment to Interdisciplinary Research

JST actively encourages interdisciplinary scholarship combining science, engineering, computing, and applied technologies to produce comprehensive and innovative technological solutions.

 

Collaboration and Innovation

JST serves as a platform for academic collaboration, innovation, and interdisciplinary exchange among researchers, engineers, academics, and industry practitioners worldwide.

 

Key Research Themes

• Development of advanced science and technology
  • Artificial intelligence and intelligent systems
  • Digital transformation and smart technologies
  • Sustainable engineering and green technology
  • Industrial automation and robotics
  • Computational science and modeling
  • Cybersecurity and digital infrastructure
  • Innovation in engineering and applied sciences