Jurnal Teknologi Informasi dan Ilmu Komputer

Aims & Scope✦ Inferred from recent articles

This journal focuses on research and development in information technology and computer science. Topics include the application of the Internet of Things (IoT) for agricultural monitoring, the use of deep learning and Convolutional Neural Networks (CNN) for image classification (e.g., fruit and vegetable freshness), and cybersecurity measures like honeypots for detecting network attacks. The journal also covers areas such as digital game evaluation, enterprise architecture for school information systems, sentiment analysis of financial technology (Fintech) applications, and the implementation of encryption algorithms for data security in IoT and digital image protection. Further research areas include authentication systems, educational technology for special needs, wireless antenna performance for sensor networks, data mining for social assistance programs, e-learning platforms, machine learning for predicting student learning styles, and cryptocurrency wallet security.

AI-summarised from recent articles · verify on publisher page →

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

Subject Classification