RAPIDS is a bi-annual edition journal serving academic publication mainly on data engineering, science, and methods for analyzing valuable information.

Focus and Scope

RAPIDS serves as a platform to enhance the global visibility of Indonesian researchers’ work by publishing articles in the Indonesian language. At the same time, we also welcome high-quality contributions from international authors, particularly those written in English. The journal aims to serve as an scientific platform for the dissemination of research in the areas of mathematical modelling, statistical computation, computer science, and data science with a strong emphasis on data-driven methodologies and intelligent systems. The journal covers, but is not limited to, the following areas:

• Field of Mathematics modelling and its application
  1. Data-driven and hybrid mathematical modelling
  2. Dynamical systems and spatiotemporal modelling
  3. Optimization, inverse problems, and uncertainty quantification
  4. Scientific computing and numerical simulation
  5. Applications in environmental systems, healthcare, engineering, and socio-economic systems
• Field of Statistics computation 
  1. Computational statistics and Bayesian methods
  2. Statistical learning and inference for large-scale and high-dimensional data
  3. Monte Carlo methods and resampling techniques
  4. Probabilistic modelling and graphical models
  5. Causal inference and experimental design
• Field of Computer Science
  1. Machine learning and deep learning
  2. Computer vision, image and video analysis
  3. Natural language processing
  4. Data engineering and big data systems
  5. Distributed and cloud computing for data-intensive applications
  6. Artificial intelligence systems and software engineering
• Field of Data science and intelligent system
  1. End-to-end data science pipelines and analytics
  2. Predictive, descriptive, and prescriptive analytics
  3. Big data analytics and real-time processing
  4. Explainable and trustworthy artificial intelligence
  5. Intelligent decision support and recommender systems
  6. Multi-modal data analysis and sensor data integration
  7. IoT-enabled intelligent systems and cyber-physical systems

Types of Contributions

This journal welcomes:

• Original research articles
• Review and survey papers
• Methodological and theoretical contributions
• Applied research with strong empirical validation
• Case studies demonstrating real-world implementation

Submissions may be written Indonesian and English for international authors. The journal particularly encourages contributions that address emerging challenges in data science and demonstrate relevance to both global research communities and local contexts, including applications in developing regions.

 

Peer Review Process

To ensure the quality and integrity of its publications, each manuscript submitted to the journal undergoes the following review process:

• Initial Screening (Desk Review):
  All submitted manuscripts are first evaluated by the editorial team to ensure compliance with the journal’s author guidelines and submission requirements.

• Plagiarism Check:
  Manuscripts that pass the initial screening are subjected to plagiarism detection using Turnitin. Submissions must not exceed a similarity index of 20%.

• Double-Blind Peer Review:
  Manuscripts that meet the above criteria are then reviewed by at least two independent reviewers under a double-blind review process. In this system, both the authors’ and reviewers’ identities remain anonymous. Reviewers may be members of the Editorial Board or external experts invited by the journal.

• Review Timeline:
  Each reviewer is expected to complete the evaluation within a maximum of one month. Based on the reviewers’ feedback, the editorial decision is typically communicated within 4 to 12 weeks from the initial submission date.

• Final Decision:
  After receiving the reviewers’ reports, the Editor makes the final decision regarding acceptance, revision, or rejection of the manuscript.

Publication Frequency

RAPIDS journal publish in June and December