Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Aims & Scope

RESTI (Rekayasa Sistem dan Teknologi Informasi/Systems Engineering and Information Technology) Journal is dedicated to pioneering and propagating high-quality research in the domains of Computer Science Applications, Artificial Intelligence , and Computer Vision and Pattern Recognition . Our journal serves as a premier platform for academics, researchers, and professionals eager to explore and share groundbreaking innovations and developments within these dynamic fields. Computer Science Applications RESTI focuses on the practical implications and applications of computer science in various domains. This includes software engineering, network security, data analysis, and system development, among others. We encourage contributions that demonstrate novel applications of computer science theories and principles to solve real-world problems, enhance technological processes, and contribute to the advancement of the digital era. Artificial Intelligence Our journal lays significant emphasis on the exploration, enhancement, and ethical considerations of Artificial Intelligence (AI). We seek original research and comprehensive reviews in AI subdomains such as machine learning, natural language processing, robotics, and expert systems. Contributions should focus on the development, application, and impact of AI technologies in enhancing decision-making, problem-solving, and automation across various sectors. Computer Vision and Pattern Recognition In the realm of Computer Vision and Pattern Recognition, RESTI aims to illuminate the scientific community with innovative methodologies, algorithms, and applications. We welcome submissions that delve into image and video analysis, facial recognition, gesture analysis, 3D modeling, and more. Research that bridges the gap between theoretical approaches and practical solutions, thereby advancing the capabilities and understanding of visual information processing, is highly valued. Our scope extends to interdisciplinary research that combines elements from the aforementioned areas to address complex systems and challenges in information technology. By incorporating insights from related fields such as healthcare, mathematics, physics, and cognitive sciences, we strive to foster a holistic understanding and innovative solutions to contemporary IT problems.

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Subject Classification