Scientific Journal of Informatics

Aims & Scope

Aims and Scope

The Scientific Journal of Informatics aims to publish high-quality, original research and review articles in the field of Informatics and Computer Science. The journal focuses on the development, application, and rigorous evaluation of Advanced Computational Methods, Artificial Intelligence (AI), Machine Learning (ML), and Data Science to address complex real-world challenges.

The scope of the journal includes, but is not limited to, innovative research in the following areas:

Artificial Intelligence and Machine Learning

The journal publishes research on novel algorithms and architectures, ensemble learning, and data challenges and preprocessing in AI and ML. This includes the development and comparison of ML/DL models for classification and prediction, evaluation and optimization of ensemble methods, and techniques for mitigating issues like class imbalance and feature extraction/dimension reduction.

Deep Learning and Computer Vision

The journal publishes research on convolutional neural networks (CNNs), hybrid and concatenated architectures, and image analysis tasks in computer vision. This includes research on CNN architectures, the impact of optimization functions on model performance, and advanced techniques for image classification, image similarity detection, and multi-object segmentation.

Data Science and Advanced Analytics

The journal publishes research on pattern detection and data mining, time series analysis and forecasting, and domain-specific applications in data science and advanced analytics. This includes performance evaluation of data mining algorithms, application of advanced decomposition and clustering methods, and predictive modeling for crucial business metrics and economic forecasting.

Applied Informatics (Domain-Specific Applications)

The journal publishes research on health and medical informatics, agricultural informatics, and business and economic informatics. This includes classification models for disease diagnosis, automated detection and classification of plant diseases, and predictive modeling for crucial business metrics and economic forecasting.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Directory of Open Access Journals (DOAJ)
• Google Scholar

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 url
• Homepage
• Aims scope

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 requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 1,700,000.00 IDR. 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.

• Application of Deep Learning Using Convolutional Neural Network (CNN) Method For Women’s Skin Classification

  Citation: 26

  Authors: Anton, Novia Farhan, Angelia, Nilam, Puji

• Immutability of Distributed Hash Model on Blockchain Node Storage

  Citation: 17

  Authors: Untung, Achmad Nizar, Ninda, Dyah Ayu, Qurotul

• Comparative Analysis of ADASYN-SVM and SMOTE-SVM Methods on the Detection of Type 2 Diabetes Mellitus

  Citation: 16

  Authors: Nur Ghaniaviyanto

• Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara

  Citation: 16

  Authors: Agus, Florentina Yuni, Isa

• Face Identification Based on K-Nearest Neighbor

  Citation: 14

  Authors: Ni Kadek Ayu, Praba, Ni Putu Ayu, Komang Diva, Putu Bagus, I Putu Deva

• Expert System Diagnosis Dental Disease Using Certainty Factor Method

  Citation: 11

  Authors: Whisnu Ulinnuha, Endang, Florentina Yuni

• Improve the Accuracy of Support Vector Machine Using Chi Square Statistic and Term Frequency Inverse Document Frequency on Movie Review Sentiment Analysis

  Citation: 11

  Authors: Ukhti Ikhsani, Much Aziz, Riza, Alamsyah

• Comparison Performance of Genetic Algorithm and Ant Colony Optimization in Course Scheduling Optimizing

  Citation: 10

  Authors: Imam Ahmad, Much Aziz, Alamsyah

• K-Nearest Neighbor and Naive Bayes Classifier Algorithm in Determining The Classification of Healthy Card Indonesia Giving to The Poor

  Citation: 9

  Authors: Yofi Firdan, Riza, Much Aziz

• Computational analysis of the interaction of limonene with the fat mass and obesity-associated protein

  Citation: 8

  Authors: Muhammad Zeeshan, Shahzeb, Mazhar, Ammad