Focus and Scope

LJISSEN-AI is a peer-reviewed scientific journal that published two (2) times a year, in June and December. Editors receive research papers that closely related to the field of computer and telecommunication engineering. Research themes focused on applications in the fields of industry and development of Information Systems, Cybersecurity, Technology-Based Education, Networking, Computing, Artificial Intelligence, and Neural Networks that synergy and integrated with local wisdom, green and sustainable technologies.

  • Information Systems: Data Mining / Text Mining / Big Data, Data Warehouse, Decision Support System, Management Information Systems, E-System (E-Commerce, E-Business, E-Learning, etc.), Web / Mobile Services for E-System, Business Intelligence, Enterprise Systems.
  • Information Security: Cyber Security, Network Security, Cryptography and Data Encryption, Security Protocols, Digital Forensics, Intrusion Detection and Prevention Systems (IDPS), Cloud Security, Mobile Security, Biometric Security Systems, Firewall Technologies, and Virtual Private Networks (VPN), Teletraffic Engineering and Network Modeling, Quality of Service (QoS) and Quality of Experience (QoE).
  • Technology Education: E-Learning Systems and Platforms, Digital Pedagogy and Instructional Design, Learning Management Systems (LMS), Massive Open Online Courses (MOOC), Augmented Reality (AR) and Virtual Reality (VR) in Learning. Mobile Learning (M-Learning), STEM and STEAM Education Technologies, Cloud-based Education Platforms, Virtual Labs and Remote Experiments.
  • Networking and Computing: Computer Networks and Communication Protocols, Network Architecture and Topologies, Wireless Networks, Mobile Networks and Mobile Computing, Cloud Computing, Internet of Things (IoT), Embedded Systems and Microcontrollers, Blockchain Technology, Software-Defined Networking (SDN).
  • Artificial Intelligence and Neural Networks: Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks (ANN, CNN, RNN, LSTM), Natural Language Processing (NLP), Computer Vision, Fuzzy Logic Systems, Bayesian Networks, AI for Cybersecurity (Anomaly Detection, Intrusion Detection Systems).