Focus and Scope

ARCITECH   /   JOURNAL PROFILE

Focus and Scope

Research-led scholarship in Computer Science, Artificial Intelligence, and interconnected computational disciplines.

COMPUTATIONAL CONTRIBUTION   •   METHODOLOGICAL RIGOR   •   REPRODUCIBLE EVIDENCE

SCOPE AT A GLANCE

ARCITECH: Journal of Computer Science and Artificial Intelligence is a peer-reviewed, open-access journal published by Institut Agama Islam Negeri (IAIN) Curup, Indonesia. It welcomes original scholarly work that advances understanding, methods, technologies, or evaluated applications in computing.

Interdisciplinary applications are considered when the central research contribution is clearly computational and supported by appropriate methods and evidence.

SECTION 01   /   AIMS

Journal Aims

ARCITECH provides a scholarly forum for methodologically sound research that contributes to the advancement of computer science and artificial intelligence. The journal encourages rigorous investigation, transparent reporting, reproducible computational evidence, and clear discussion of implications and limitations.

  • Publish original and clearly articulated computational research contributions.
  • Support responsible, independently evaluated research across computing subfields.
  • Encourage meaningful connections between computing theory, algorithms, systems, and real-world applications.

SECTION 02   /   READERSHIP

Target Readership

The journal serves researchers, lecturers, postgraduate scholars, practitioners, and research teams working in computer science, artificial intelligence, information systems, computer engineering, and related computational areas. Readers may come from academia, industry, or public institutions, provided the shared scientific questions and contributions remain within computing.

SECTION 03   /   CORE COMPUTATIONAL RESEARCH

Computer Science & Computational Methods

Computer science research concerned with algorithms, computational techniques, system design, and the rigorous evaluation of computing methods.

  • Algorithm design, analysis, and computational problem solving
  • Applied computing methods and performance-oriented implementations
  • Computational approaches supported by sound theoretical or empirical evaluation

SECTION 04   /   INTELLIGENT COMPUTATIONAL SYSTEMS

Artificial Intelligence & Machine Learning

The design, development, evaluation, and responsible deployment of artificial intelligence methods and intelligent systems.

  • Machine learning, deep learning, and predictive modeling
  • Classification, clustering, optimization, and decision-making methods
  • Explainable, reliable, and empirically validated AI approaches

SECTION 05   /   DATA-DRIVEN COMPUTING

Data Science, Big Data & Data Mining

Computational approaches for discovering, modeling, and evaluating patterns in structured, unstructured, or large-scale data.

  • Data mining, knowledge discovery, and statistical-computational analysis
  • Big data processing and scalable analytical pipelines
  • Evaluation of data-driven models, data quality, and reproducibility

SECTION 06   /   MULTIMEDIA INTELLIGENCE

Computer Vision, Image, Speech & Language Processing

Algorithms and computational systems for extracting, transforming, analyzing, or interpreting visual, acoustic, and language-based information.

  • Digital image processing and computer vision
  • Speech and audio processing
  • Natural language processing and computational multimedia analysis

SECTION 07   /   ENGINEERING DEPENDABLE SOFTWARE

Software Engineering & Systems Development

The systematic design, implementation, evaluation, maintenance, and improvement of software and computational systems.

  • Software development methodologies and software quality evaluation
  • Testing, requirements, architecture, and maintenance
  • User interface, user experience, and system usability research with a substantive computing contribution

SECTION 08   /   INFORMATION-DRIVEN SYSTEMS

Information Systems & Information Technology

Research on the design, integration, operation, and evaluation of information systems and related information technologies.

  • Information systems design and development
  • Decision-support and organizational information systems
  • Technical assessment, integration, and evaluation of information technology systems

SECTION 09   /   CONNECTED COMPUTING

Computer Networks & Internet of Things

Methods and architectures for reliable communication, networked computation, and interconnected devices.

  • Computer networks, communication performance, and network management
  • Internet of Things (IoT) architectures and applications
  • Connected-system reliability and experimental network evaluation

SECTION 10   /   SECURE DIGITAL INFRASTRUCTURE

Cybersecurity & Information Security

Computational research addressing the confidentiality, integrity, availability, resilience, or trustworthiness of information systems and networks.

  • Network, application, and information-system security
  • Threat analysis, anomaly detection, and security monitoring
  • Privacy-preserving techniques and security evaluation supported by appropriate evidence

SECTION 11   /   COMPUTATIONAL INFRASTRUCTURE AND MODELING

Computer Engineering, High-Performance Computing & Simulation

Engineering and analytical approaches to computing systems, efficient computation, and evidence-based simulation.

  • Computer engineering and system architectures
  • High-performance and performance-aware computing
  • Simulation, computational modeling, and validation of modeled systems

SECTION 12   /   INTERDISCIPLINARY SUBMISSIONS

Interdisciplinary Research and Editorial Fit

Applications in education, health, industry, public services, or other domains may fall within ARCITECH’s scope when the manuscript advances or critically evaluates a computational method, algorithm, software system, information-system architecture, or other clearly stated computer science contribution.

  • The computing problem and its originality or justified contribution must be explicit.
  • The chosen methods, baselines, experimental design, evaluation measures, and limitations must suit the research questions.
  • A domain-specific application without a meaningful computing contribution may be outside the journal’s scope.

A manuscript that only reports general satisfaction, administrative activities, or noncomputational descriptive findings is not automatically in scope because software was used to collect or analyze data.

SECTION 13   /   SUBMISSION GUIDANCE

Manuscript Suitability and Related Policies

The editorial team assesses fit with the journal’s published scope alongside scientific quality, novelty or meaningful contribution, methodological validity, research integrity, and compliance with author instructions. Being within scope does not guarantee peer review or acceptance.

Before submitting, authors should consult the following official ARCITECH resources:

Scope statement: Topic examples are illustrative, not an exhaustive list or a promise of acceptance. ARCITECH evaluates each submission for its substantive computational contribution and relevance to the journal’s scientific readership.

ARCITECH   •   Computer Science   •   Artificial Intelligence   •   Research Integrity