JIP (Jurnal Informatika Polinema)
UPT P2M State Polytechnic of Malang · Indonesia · Est. 2014
Aims & Scope
JIP (Journal of Informatics Polinema)publishes original research articles and invited reviews in the fields of informatics and computer science. The journal welcomes high-impact contributions in the following thematic areas: This category focuses on the development and application of intelligent technologies and data-driven solutions to solve complex problems. Topics in this category include Artificial Intelligence, Machine Learning and Deep Learning, Intelligent Systems, Information Retrieval, Natural Language Processing, and Data Mining. This scope emphasizes computational models, algorithms, and intelligent frameworks for decision support and knowledge discovery. This area encompasses research on the analysis, interpretation, and synthesis of visual information. This includes Image Processing, Computer Vision, Pattern Recognition, Visual Analytics, and Augmented or Virtual Reality. Submissions in this area explore how machines perceive, process, and interact with images and visual environments in both static and dynamic contexts. This category covers design, implementation, and optimization of digital infrastructure and communication technologies. It includes studies on Computer Networks, Wireless Sensor Networks, Internet of Things (IoT), Embedded Systems, Cybersecurity, and Digital Forensics. The focus is on the robustness, efficiency, and security of interconnected systems in both local and distributed environments. This area emphasizes the development and application of computing solutions to support real-world systems and user experiences. This includes Information Systems, Software Engineering, Game Technology, Technology-Enhanced Learning, UI/UX Design, and Human-Computer Interaction. Research in this area highlights innovation in system design, user interface development, and educational applications of technology. JIP seeks to publish impactful research that offers novel insights and demonstrates relevance to academic, professional, and industrial commun
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
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.
Publication & Citation Trend
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
Research Topics (OpenAlex)
Frequently asked questions about JIP (Jurnal Informatika Polinema)
Is JIP (Jurnal Informatika Polinema) a predatory journal?
PubScope has no integrity flags on record for JIP (Jurnal Informatika Polinema): it is indexed in DOAJ, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.
What is the impact factor of JIP (Jurnal Informatika Polinema)?
JIP (Jurnal Informatika Polinema) is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor. Its open 2-year mean citedness is 0.14.
Is JIP (Jurnal Informatika Polinema) indexed in Scopus and Web of Science?
JIP (Jurnal Informatika Polinema) is indexed in DOAJ.
What is the aims and scope of JIP (Jurnal Informatika Polinema)?
JIP (Journal of Informatics Polinema)publishes original research articles and invited reviews in the fields of informatics and computer science. The journal welcomes high-impact contributions in the following thematic areas: This category focuses on the development and application of intelligent technologies and data-driven solutions to solve complex problems. Topics in this category include Artificial Intelligence, Machine Learning and Deep Learning, Intelligent Systems, Information Retrieval, Natural Language Processing, and Data Mining. This scope emphasizes computational models, algorithms
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See all →Data updated: 2026-05-26 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref