Jurnal Informatika
Published by Universitas Muhammadiyah Purwokerto (Journal Finder)
ISSN : 2086-9398 eISSN : 2579-8901
Abbreviation : J. Inform.
Aims & Scope
Jurnal Informatika publishes research in: computer science, informatics, artificial intellegent, software engineering. View Aims & ScopeAbstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Policy Links
This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.
APC Details
The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.
This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies. Learn more.
Explore journals without APCs for alternative publishing options.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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A Deep Learning Using DenseNet201 to Detect Masked or Non-masked Face
Citation: 29
Authors: Faisal Dharma, Diovianto Putra, Merlinda, Akhmad
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Emotional Text Classification Using TF-IDF (Term Frequency-Inverse Document Frequency) And LSTM (Long Short-Term Memory)
Citation: 13
Authors: Muhammad Ibnu, Lailis, Merinda
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Data Mining for Potential Customer Segmentation in the Marketing Bank Dataset
Citation: 13
Authors: Maulida Ayu, Dany Candra
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The Empirical Comparison of Machine Learning Algorithm for the Class Imbalanced Problem in Conformational Epitope Prediction
Citation: 7
Authors: Binti, Azhari, Aina
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Fraud Detection Using Random Forest Classifier, Logistic Regression, and Gradient Boosting Classifier Algorithms on Credit Cards
Citation: 7
Authors: Muhamad, Fauziah, Yunan Fauzi
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Performance Evaluation of Pre-Trained Convolutional Neural Network Model for Skin Disease Classification
Citation: 6
Authors: Afandi Nur Aziz, Liliek, Idhawati, Budi, Amran
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Cyberbullying Detection Modelling at Twitter Social Networking
Citation: 6
Authors: Ika Yunida, Sucipto, Rini
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A New Approach in Query Expansion Methods for Improving Information Retrieval
Citation: 5
Authors: Lasmedi, Ahmad, Yohanes
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Digital Twin and Blockchain Extension in Smart Buildings Platform as Cyber-Physical Systems
Citation: 5
Authors: Oktafian Sultan, Muhammad Agus, Sritrusta, Agus