Manuscript Types

Manuscript Types

The Journal of Technology and Computer Science Prima (JUTIKOMP) accepts research articles and technical studies focusing on development, application, and innovation in the fields of Information Technology and Computer Science. The journal emphasizes research novelty, methodological contributions, and significance for advancements in computational science and modern technologies. All submitted manuscripts must align with the focus and scope of JUTIKOMP and adhere to the applicable author guidelines and publication ethics.

JUTIKOMP accepts the following types of manuscripts:

1. Original Algorithmic and Empirical Research Article

Articles reporting the results of empirical research, model development, or framework design within the domains of computational science and modern technologies. Manuscripts must clearly articulate the research novelty, methodology applied, and rigorous evaluation. This includes, but is not limited to, studies in Machine Learning models, Data Mining techniques, Computer Vision systems, Image Processing, and Natural Language Processing (NLP).

2. Theoretical and Applied Artificial Intelligence Article

Articles presenting in-depth developments, optimizations, or applications of intelligent systems. Manuscripts must demonstrate strong theoretical or structural contributions to the advancement of smart technologies. This includes research on Expert Systems, Intelligent Agents, Optimization Algorithms, Robotic Intelligence, and Autonomous Systems.

3. Enterprise Architecture and Data Analytics Article

Articles focusing on large-scale data architecture, strategic data utilization, and computing infrastructures for organizational decision-making. Manuscripts must highlight infrastructure frameworks, processing methodologies, or system design. This includes studies in Big Data Analysis, Business Intelligence, Data Warehousing, Decision Support Systems, and Real-Time Analytics.

4. Technological Implementation and Security Case Study

Articles examining specific computational challenges, user-centric evaluations, or security implementation through in-depth case studies or experiments. Manuscripts must highlight system validation, performance debugging, or risk analysis. This includes research on Computer Security, Cryptography, Digital Forensics, and Human–Computer Interaction (HCI / UI-UX design).