Fast in Technologies and AI Solutions (FTAS) is a peer-reviewed scientific journal published by Forum Akademisi dan Dosen Peneliti (FAST). FTAS aims to provide a high-quality platform for researchers, academics, professionals, and practitioners to publish original research and review articles in the fields of artificial intelligence, information technology, computer science, emerging technologies, and their real-world applications across various industries.

Fast in Technologies and AI Solutions (FTAS) is published three times a year, in February, June, and October, and adopts a double-blind peer review process, where both the reviewers and authors remain anonymous to ensure impartial and objective evaluation of submitted manuscripts.

The journal welcomes contributions in, but not limited to, the following areas:

1. Artificial Intelligence and Machine Learning

   • Advanced algorithms and intelligent systems

   • Deep learning, reinforcement learning, and neural networks

   • Natural language processing and computer vision

   • AI applications in healthcare, finance, robotics, and more

   • Ethical and governance issues in AI

2. Information Technology and Software Engineering

   • Modern software development methodologies

   • Cloud computing and distributed systems

   • Big data analytics and data science

   • Internet of Things (IoT) and edge computing

   • Cybersecurity and data privacy

   • IT infrastructure and systems management

3. Computer Science and Computational Theories

   • Algorithmic and theoretical foundations

   • Computational models and simulations

   • Quantum computing and future paradigms

   • Distributed and parallel computing

4. Emerging Technologies and Innovations

   • Blockchain and decentralized systems

   • Autonomous systems and intelligent robotics

   • Augmented and virtual reality (AR/VR)

   • Smart cities and connected devices

   • 5G and advanced communication technologies

5. Human-Computer Interaction (HCI)

   • UX/UI design and interaction paradigms

   • Usability testing and user experience studies

   • Cognitive computing and human-centered AI

6. Applications of AI and Technologies in Industry

   • AI-driven solutions in healthcare, education, finance, and manufacturing

   • Smart technologies for business and automation

   • AI contributions to environmental and sustainability efforts

7. Techno-Socio-Economic Impacts

   • Societal implications of AI and new technologies

   • Digital transformation in organizations and sectors

   • Policy, regulation, and governance in technological adoption

 

Fast in Technologies and AI Solutions (FTAS) is committed to advancing the understanding and practical impact of modern technologies and AI-driven solutions, while upholding ethical research and publication standards. Articles published in this journal are expected to demonstrate originality, technical soundness, and relevance to both academic and professional audiences.