Authors submitting manuscripts to the Journal of Decision Support Systems and Multi-Criteria Decision Making should prepare their manuscripts according to the journal's academic, structural, and formatting requirements. Manuscripts should be written clearly and concisely and should provide sufficient information to allow readers and reviewers to understand, evaluate, and, where applicable, reproduce the reported research.
Manuscripts must:
Authors should ensure that the submitted manuscript is carefully reviewed for language, formatting, completeness, and consistency before submission.
Research articles should generally follow an appropriate scientific structure. Depending on the nature of the study, the manuscript may include:
The exact structure may be adapted to the research design and article type, provided that the manuscript presents a clear and logically organized scientific argument.
The title should be concise, specific, and informative. It should accurately reflect the main subject, method, application, or contribution of the study.
Authors should avoid unnecessary abbreviations, excessive technical terminology, and statements that may overstate the contribution of the research.
The abstract should provide a concise summary of the manuscript and normally describe:
Authors should provide relevant keywords that accurately represent the subject and methodological focus of the manuscript. Keywords should be specific enough to improve discoverability while avoiding terms that are excessively broad or repetitive.
The Introduction should establish the context and significance of the research. It should clearly explain the research problem, relevant background, research gap, objectives, and contribution. Authors should distinguish established knowledge from the specific problem addressed by the study and explain how the research relates to existing literature.
The literature review should provide a critical and relevant discussion of previous research. It should establish the theoretical or methodological foundation of the study and identify the research gap addressed by the manuscript. Authors should prioritize relevant and credible scholarly sources.
The methodology should be described with sufficient detail to allow reviewers to assess the validity of the research and readers to understand how the results were obtained.
For MCDM, DSS, mathematical models, algorithms, computational experiments, and optimization studies, authors should describe where applicable:
Any modification or extension of an established method should be explicitly identified and explained.
Mathematical equations should be presented clearly and consistently. Variables, parameters, indices, and symbols should be defined when first introduced. Algorithms or computational procedures should be described sufficiently to enable their evaluation and implementation. Where appropriate, pseudocode, flowcharts, supplementary files, or implementation details may be provided.
Authors should clearly distinguish established equations or procedures from those proposed or modified in the manuscript.
Tables and figures should directly support the discussion and should be numbered consecutively according to their order of appearance.
The Results section should present the findings obtained from the research in a clear and systematic manner. Results should be reported objectively and supported by appropriate tables, figures, statistical analyses, computational outputs, or other relevant evidence. Unsupported interpretations should not be presented as research findings.
The Discussion should interpret the findings in relation to the research objectives and relevant previous studies. Authors should explain the significance of the findings, discuss similarities or differences with previous research where relevant, identify methodological or practical implications, and acknowledge important limitations.
For methodological studies, the discussion should clarify the contribution and applicability of the proposed or modified approach.
The Conclusion should directly address the research objectives and summarize the principal findings and contributions of the study. It should not simply repeat the Results section. Where appropriate, authors may identify limitations and reasonable directions for future research.
References should be accurate, complete, and consistently formatted according to the journal's prescribed reference style.
Authors should provide sufficient information about datasets, analytical procedures, computational experiments, and methodological settings to support the assessment and reproducibility of their research, where applicable.
When data, code, models, or supplementary materials can be shared ethically and legally, authors are encouraged to make them available through an appropriate repository or supplementary file. Any restrictions on data or code availability should be clearly explained.
Authors remain responsible for the accuracy, originality, integrity, and scholarly content of their manuscripts when generative artificial intelligence or other AI-assisted tools are used during manuscript preparation.
AI tools should not be listed as authors. Where the use of generative AI is permitted under the journal's policy and materially contributes to manuscript preparation, authors should provide the required disclosure in accordance with the journal's Generative AI Policy.
Authors must verify AI-assisted content, references, data interpretations, mathematical expressions, and other generated material before submission.
Manuscripts should be written in clear and professional academic English. Authors are responsible for ensuring that the manuscript is grammatically correct and understandable. Language editing or proofreading may be undertaken before submission when necessary. Language quality does not replace the requirement for scientific rigor and methodological validity.
Before submitting a manuscript, authors should verify that:
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Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR)Membangun Ekosistem Riset Digital yang Berkelanjutan |
