Focus and Scope
JIKSI: Jurnal Ilmu Komputer dan Sistem Informasi is a national peer-reviewed journal published twice a year, in June and December. JIKSI aims to publish high-quality scientific articles dedicated to the latest developments in computer science and information technology from authors around the world.
The scope of the journal covers the fields of information engineering, computing, and technology, including but not limited to the following topics:
1. Computer Network and System Engineering
- Computer and communication networks
- Network planning, implementation, operation, and management
- Computer control systems
- Microcontroller applications and programming
- Microprocessor and digital systems
- Network and system security
- Operating systems
- IT project management
- Real-time networks
- Software development
- Network administration
- System management and services
- Hardware and software integration
- Communication and electronic technology
2. Computer Science and Information Systems
- Big data and data science
- Bioinformatics
- Blockchain
- Cloud computing
- Distributed systems
- Parallel computing
- High performance computing
- Computer architecture
- Computer graphics and CAD
- Computer vision
- Data mining
- Knowledge discovery
- Information retrieval
- Information systems
- Internet of Things (IoT)
- Edge computing
- IT governance
- Database systems
- Information security
- Multimedia systems
- Mobile computing
- Human-computer interaction
- Software engineering
- Programming languages
- Computational theory
- Virtual / augmented reality
- Performance modelling
- Reliability and fault tolerance
- Networking technology
- Internet architecture
- Quantum computing
- Neuromorphic computing
- Software design and testing methods
3. Machine Learning, AI, and Soft Computing
- Artificial intelligence
- Machine learning
- Deep learning
- Neural networks
- Natural language processing
- Expert systems
- Decision support systems
- Fuzzy logic
- Genetic algorithms
- Evolutionary computing
- Swarm intelligence
- Bayesian networks
- Hidden Markov models
- Probabilistic models
- Intelligent systems
- Pattern recognition
- Bio-inspired computing
- Optimization algorithms
- Reinforcement learning
- Computational intelligence
- Business intelligence
- Cognitive systems
- Metaheuristics
- Support vector machines
- Particle swarm optimization
- Artificial neural networks
- Soft computing systems