ISSN xxxx-xxxx (In Submission https://issn.perpusnas.go.id)
About the Journal

Journal of Informatics is an peer-reviewed, open-access scholarly journal dedicated to advancing high-quality research in informatics, computer science, information systems, computational intelligence, and emerging digital technologies.
The journal provides a scholarly platform for researchers, academics, professionals, and practitioners to communicate original research that advances computational knowledge, develops rigorous methods, introduces reproducible technological solutions, or provides substantive empirical evidence for contemporary computing problems.
Joofin prioritizes research that demonstrates a clearly formulated scientific problem, rigorous methodology, transparent experimental design, appropriate validation, meaningful comparison with relevant state-of-the-art approaches, and a well-supported contribution to the international body of knowledge.
The journal particularly encourages studies that move beyond routine implementation of existing technologies. Manuscripts should demonstrate why the investigated problem is scientifically important, identify limitations in existing knowledge or methods, and establish how the proposed research contributes new theoretical, methodological, computational, empirical, or practical insight.
Aims
Journal of Informatics aims to:
-
advance theoretical and applied knowledge in informatics and computer science;
-
disseminate original computational methods, models, algorithms, architectures, frameworks, systems, and empirical findings;
-
promote rigorous, reproducible, transparent, and ethically responsible computational research;
-
encourage research addressing significant and internationally relevant computing problems;
-
connect theoretical advances with experimentally validated applications;
-
facilitate interdisciplinary research in which computing provides a substantive methodological or technological contribution;
-
promote comparative and evidence-based evaluation against appropriate baselines and state-of-the-art methods;
-
support open science through transparent reporting of methods, data, software, experimental configurations, and evaluation procedures whenever legally and ethically possible; and
-
provide an international forum for scholarly communication among researchers, educators, professionals, industry practitioners, and technology innovators.
Scientific Scope
Journal of Informatics publishes original contributions across major and emerging areas of computing, including, but not limited to:
Artificial Intelligence and Computational Intelligence
-
artificial intelligence;
-
machine learning;
-
deep learning;
-
representation learning;
-
reinforcement learning;
-
explainable artificial intelligence;
-
trustworthy artificial intelligence;
-
responsible artificial intelligence;
-
generative artificial intelligence;
-
evolutionary computation;
-
swarm intelligence;
-
fuzzy systems;
-
knowledge representation and reasoning;
-
intelligent agents;
-
hybrid intelligent systems;
-
computational intelligence; and
-
AI-enabled decision systems.
Data Science and Knowledge Discovery
-
data mining;
-
big data analytics;
-
predictive analytics;
-
pattern recognition;
-
statistical learning;
-
knowledge discovery;
-
data engineering;
-
data integration;
-
data quality;
-
graph analytics;
-
anomaly detection;
-
streaming data analytics;
-
incremental and online learning;
-
multimodal data analytics; and
-
scientific data analysis.
Natural Language Processing
-
natural language processing;
-
computational linguistics;
-
text mining;
-
information extraction;
-
information retrieval;
-
sentiment analysis;
-
text classification;
-
question answering;
-
language modelling;
-
low-resource language processing;
-
multilingual computing;
-
speech and language technologies; and
-
large language model evaluation and applications.
Computer Vision and Multimedia Computing
-
computer vision;
-
image processing;
-
image and video analysis;
-
object detection;
-
image segmentation;
-
pattern recognition;
-
biometrics;
-
medical image computing;
-
multimedia information retrieval;
-
vision-language systems; and
-
intelligent visual analytics.
Algorithms and Computational Methods
-
algorithm design and analysis;
-
computational optimization;
-
approximation algorithms;
-
metaheuristic algorithms;
-
combinatorial optimization;
-
numerical computing;
-
parallel algorithms;
-
distributed algorithms;
-
computational modelling;
-
simulation;
-
high-performance computing; and
-
emerging computational paradigms.
Cybersecurity and Privacy
-
network security;
-
information security;
-
cybersecurity analytics;
-
intrusion detection;
-
malware detection;
-
phishing detection;
-
digital forensics;
-
cryptography;
-
authentication;
-
access control;
-
privacy-preserving computing;
-
adversarial machine learning;
-
AI security;
-
Internet of Things security;
-
cloud security; and
-
cyber threat intelligence.
Networks, Internet of Things, and Distributed Computing
-
computer networks;
-
wireless networks;
-
mobile computing;
-
Internet of Things;
-
Industrial Internet of Things;
-
sensor networks;
-
edge computing;
-
fog computing;
-
cloud computing;
-
distributed systems;
-
software-defined networking;
-
network intelligence;
-
network optimization;
-
next-generation communication systems; and
-
intelligent connected environments.
Software Engineering and Programming Technologies
-
software engineering;
-
software architecture;
-
software testing;
-
software quality;
-
software reliability;
-
requirements engineering;
-
software maintenance and evolution;
-
DevOps;
-
empirical software engineering;
-
program analysis;
-
programming languages;
-
software security;
-
automated software engineering; and
-
AI-assisted software engineering.
Information Systems and Digital Technologies
-
information systems;
-
enterprise information systems;
-
decision support systems;
-
business intelligence;
-
digital transformation;
-
information systems architecture;
-
human-computer interaction;
-
user experience;
-
digital platforms;
-
e-government;
-
e-learning;
-
financial technologies;
-
health informatics;
-
educational technologies; and
-
intelligent organizational systems.
Emerging Computing Technologies
The journal also welcomes rigorous research concerning emerging computing paradigms, including quantum computing, blockchain and distributed ledger technologies, digital twins, autonomous systems, cyber-physical systems, robotics, smart environments, metaverse technologies, extended reality, edge intelligence, federated learning, privacy-enhancing technologies, and other emerging areas in which computation represents the central scientific contribution.
Research Contribution Expectations
Publication in Journal of Informatics requires more than the application of an established algorithm to a new dataset or geographical location.
Original research manuscripts are expected to demonstrate one or more substantive contributions, such as:
-
a novel algorithm, method, model, framework, architecture, or computational technique;
-
a theoretically or empirically justified improvement to an existing method;
-
new scientific insight obtained through rigorous computational experimentation;
-
a comprehensive comparative evaluation revealing previously unknown findings;
-
a new dataset, benchmark, software resource, or experimental framework with demonstrated research value;
-
reproducible evidence that challenges, extends, or refines existing knowledge;
-
a technically significant solution to an internationally relevant computing problem; or
-
an interdisciplinary contribution in which computing constitutes a substantial scientific component.
Merely implementing standard methods, reproducing established workflows without additional scientific insight, or reporting localized system development without generalizable findings is normally insufficient.
Methodological and Experimental Rigor
Joofin expects conclusions to be supported by appropriate evidence.
Depending on the nature of the research, manuscripts should provide sufficiently detailed descriptions of datasets, preprocessing procedures, experimental environments, parameter settings, algorithms, baselines, evaluation metrics, validation strategies, statistical analyses, hardware and software configurations, and other information necessary to understand and evaluate the research.
Experimental studies should employ appropriate baselines and, where relevant, comparisons with contemporary methods.
Authors should avoid drawing conclusions that exceed the evidence produced by their experiments. Limitations, threats to validity, potential sources of bias, and conditions affecting the generalizability of findings should be reported transparently.
Reproducibility and Open Science
Journal of Informatics supports transparent and reproducible research.
Authors are encouraged, whenever legally, ethically, and technically possible, to make supporting research materials publicly available through recognized repositories. These materials may include:
-
datasets;
-
source code;
-
trained models;
-
algorithms and pseudocode;
-
experimental configurations;
-
parameter settings;
-
supplementary results;
-
questionnaires or research instruments;
-
statistical analysis scripts; and
-
documentation required to reproduce major findings.
Every published research article should contain an appropriate Data Availability Statement explaining whether and how the underlying data can be accessed.
When data cannot be publicly released because of privacy, confidentiality, security, licensing, contractual, ethical, or legal restrictions, authors should clearly state the applicable restriction.
Article Types
Journal of Informatics considers scholarly manuscripts including:
Original Research Articles
Full research papers presenting original theoretical, methodological, computational, experimental, or empirical contributions.
Review Articles
Critical and methodologically rigorous syntheses of established or emerging areas of computing research.
Systematic Literature Reviews
Structured evidence syntheses based on explicit search, selection, appraisal, and synthesis procedures.
Survey Articles
Comprehensive technical surveys that organize a research domain, critically evaluate existing approaches, identify unresolved challenges, and establish meaningful future research directions.
Other manuscript categories may be considered when explicitly announced by the journal and when consistent with its editorial scope.
Peer Review and Editorial Independence
Research manuscripts submitted to Journal of Informatics undergo editorial assessment and scholarly peer review according to the journal's published peer-review policy.
Reviewers are selected on the basis of relevant scholarly expertise. Peer review evaluates, among other considerations, scientific originality, methodological rigor, technical correctness, significance of contribution, quality of validation, reproducibility, clarity of presentation, ethical compliance, and relevance to the journal's scope.
Acceptance is never guaranteed.
Editorial decisions are based on scholarly merit and the integrity, originality, methodological quality, significance, and relevance of the manuscript. Decisions must not be influenced by an author's nationality, institutional affiliation, geographical location, ethnicity, gender, religion, political belief, commercial status, or other characteristics unrelated to scholarly merit.
The final responsibility for editorial decisions rests with the journal's authorized editorial leadership in accordance with its published editorial policies.
Research and Publication Integrity
Journal of Informatics is committed to maintaining the integrity of the scholarly record.
The journal does not tolerate research or publication misconduct, including:
-
plagiarism;
-
fabrication or falsification of data;
-
inappropriate manipulation of figures or results;
-
duplicate or redundant publication;
-
undisclosed simultaneous submission;
-
inappropriate authorship;
-
citation manipulation;
-
peer-review manipulation;
-
undisclosed conflicts of interest; or
-
other practices that compromise the reliability of the scholarly record.
Allegations of misconduct are assessed according to the journal's publication-ethics procedures.
Where warranted, the journal may publish corrections, expressions of concern, retractions, or other appropriate post-publication notices to preserve the integrity and transparency of the scholarly record.
Authorship and Contributorship
Authorship should accurately reflect substantive intellectual contributions to the research.
The journal encourages transparent reporting of individual author contributions using the Contributor Roles Taxonomy (CRediT), including roles such as conceptualization, methodology, software, validation, formal analysis, investigation, resources, data curation, writing, visualization, supervision, project administration, and funding acquisition.
All listed authors should approve the submitted manuscript and accept responsibility for their respective contributions.
Artificial Intelligence and AI-Assisted Technologies
The journal recognizes the increasing use of generative artificial intelligence and AI-assisted technologies in scientific research and scholarly communication.
Human authors remain fully responsible for the accuracy, originality, integrity, citations, analysis, conclusions, and ethical compliance of submitted manuscripts.
AI systems cannot assume responsibility for scholarly work and therefore should not be listed as authors.
Where AI-assisted technologies have materially contributed to manuscript preparation, data analysis, programming, image generation, methodological development, or another substantive component of the research, their use should be disclosed transparently in accordance with the journal's applicable policy.
AI-generated or AI-assisted material must not be used to fabricate data, references, results, images, evidence, or scientific claims.
Ethical Oversight and Conflicts of Interest
Research involving human participants, identifiable personal information, animals, sensitive datasets, or other activities requiring ethical oversight must comply with applicable institutional, national, and international requirements.
Where applicable, authors should provide information concerning ethical approval and informed consent.
All authors must disclose financial, professional, institutional, personal, or other competing interests that could reasonably be perceived as influencing the research or its interpretation.
International Orientation
Journal of Informatics is intended for an international scholarly community.
The journal welcomes submissions from researchers regardless of country, institution, or geographical region. Research may investigate local or regional environments when the scientific question, methodology, findings, or resulting knowledge has significance beyond the immediate case studied.
Authors of locally situated studies are therefore encouraged to explain the broader scientific relevance, transferability, generalizability, or methodological contribution of their findings.
The journal seeks diversity in authorship, reviewers, editorial expertise, research environments, and scholarly perspectives while maintaining scientific merit as the principal basis for editorial evaluation.
Target Readership
The journal serves:
-
researchers in informatics and computer science;
-
university academics and postgraduate students;
-
data scientists and AI researchers;
-
software and systems researchers;
-
cybersecurity researchers;
-
information systems scholars;
-
computing and technology professionals;
-
research laboratories;
-
policymakers concerned with digital technologies;
-
technology developers and innovators; and
-
interdisciplinary researchers whose work substantially involves computational methods.
Open Access
Journal of Informatics supports the broad dissemination of scholarly knowledge through open access.
Published articles are intended to be accessible to the global research community in accordance with the journal's stated copyright and licensing policies. Authors should consult the journal's dedicated Open Access, Copyright, and Licensing policies for the applicable terms.
Editorial Commitment
Journal of Informatics seeks to develop a credible international scholarly record founded on scientific rigor rather than publication volume.
The journal values quality over quantity, evidence over assertion, methodological rigor over superficial novelty, reproducibility over opacity, and meaningful scientific contribution over routine implementation.
Through rigorous editorial evaluation, qualified peer review, transparent research reporting, responsible use of emerging technologies, and commitment to research integrity, Journal of Informatics aims to become a trusted international venue for significant advances in informatics and computing research.