Editorial Policies

Focus and Scope

JACKA journal published by the Informatics Engineering Program Faculty of Engineering Universitas Malikussaleh. to accommodate the scientific writings of the ideas or studies related to informatics science.

JACKA journal published many related subjects on informatics science such as (but not limited to):

  • Adversarial Machine Learning: Addressing security concerns and developing algorithms robust to adversarial attacks.
  • Anomaly Detection Algorithms: Identifying unusual patterns or outliers in data.
  • Automated Machine Learning (AutoML): Developing algorithms that automate the machine learning model selection and hyperparameter tuning.
  • Automated Planning and Scheduling: Developing algorithms for autonomous decision-making and task scheduling.
  • Bayesian Networks: Utilizing probability theory to model and analyze uncertain systems.
  • Computer Vision: Developing algorithms for image and video analysis, enabling machines to interpret visual information.
  • Constraint Satisfaction Problems (CSP): Designing algorithms to solve problems subject to constraints.
  • Deep Learning: Developing algorithms for neural networks with multiple layers to model complex patterns.
  • Distributed AI Algorithms: Implementing AI algorithms that can work across multiple interconnected devices or nodes.
  • Ensemble Learning: Combining multiple models to improve overall system performance.
  • Evolutionary Algorithms: Utilizing principles of natural selection for optimization and problem-solving.
  • Experiential Learning Algorithms: Designing algorithms that improve performance through experience and learning.
  • Expert Systems: Creating rule-based systems that emulate human expertise in specific domains.
  • Explainable AI (XAI): Developing algorithms that provide transparency and explanations for AI decisions.
  • Fuzzy Logic: Implementing logic that deals with uncertainty and imprecision in decision-making.
  • Genetic Algorithms: Implementing algorithms inspired by genetic evolution for optimization tasks.
  • Knowledge Representation and Reasoning: Creating structures and algorithms to represent and manipulate knowledge.
  • Machine Learning Algorithms: Designing algorithms that enable systems to learn from data and make predictions.
  • Multi-agent Systems: Designing algorithms for systems with multiple interacting agents.
  • Natural Language Processing (NLP): Creating algorithms that understand and process human language.
  • Neuroevolution: Combining evolutionary algorithms with neural networks for optimization.
  • Optimization Algorithms: Developing algorithms focused on improving the performance, efficiency, or decision-making of systems by finding optimal solutions to problems.
  • Pattern Recognition: Developing algorithms to identify patterns within data.
  • Reinforcement Learning: Designing algorithms that learn through trial and error, often applied in decision-making systems.
  • Robotics Algorithms: Designing algorithms for autonomous navigation, manipulation, and decision-making in robots.
  • Semantic Web Technologies: Implementing algorithms for structuring and retrieving information on the web.
  • Sentiment Analysis Algorithms: Analyzing text data to determine sentiment or emotion.
  • Speech Recognition: Developing algorithms to convert spoken language into text.
  • Swarm Intelligence: Developing algorithms based on collective behavior, as seen in swarms or colonies.
  • Time Series Forecasting Algorithms: Predicting future values based on historical data patterns.

 

Section Policies

Articles

Checked Open Submissions Checked Indexed Checked Peer Reviewed
 

Peer Review Process

The articles published in JACKA have gone through a substance review process. Pre-review of the article will be carried out to see the suitability of the page format, images, tables, citations, and reference lists as well as article systematics. Checking for plagiarism is done through a search on Google Scholar and Turnitin with a maximum similarity value of 25%.

After the pre-review is done, the journal manager will allocate two peer-reviewers to conduct a single-blind review of the content. The duration of the review process will follow the important dates in each publication (see home).

Reviewers can request a re-review after the author has revised the article. The decision to accept the article is the authority of the Editor in Chief based on the recommendations of the reviewers.

Make sure the author monitors the system regularly or observes the news on the email registered to the system for information on the results of the review. After the review process is completed, then a Letter of Acceptance (LoA) can be issued, by submitting an application to the journal management via email jacka@unimal.ac.id.

 

Publication Frequency

JACKA is issued 4 (four) times a year in January, April, July and October.

 

Open Access Policy

Journal of Advanced Computer Knowledge and Algorithms provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

 

Archiving

This journal utilizes the LOCKSS system to create a distributed archiving system among participating libraries and permits those libraries to create permanent archives of the journal for purposes of preservation and restoration. More...