DIMASINTEGRA is committed to preserving the highest standards of academic integrity, originality, and ethical authorship. The journal regards plagiarism and unethical use of artificial intelligence as serious violations of scholarly conduct. All manuscripts submitted to DIMASINTEGRA are therefore subject to strict screening, verification, and ethical evaluation prior to acceptance for publication.
Plagiarism is defined as the use of another person’s ideas, words, data, or creative work without proper acknowledgment. This includes, but is not limited to:
Direct plagiarism, involving verbatim copying without citation
Mosaic or patchwork plagiarism, where phrases or structures are copied with minimal alteration
Paraphrasing plagiarism, where ideas are reworded without proper attribution
Self-plagiarism, involving the reuse of substantial parts of one’s own previously published work without disclosure
Data plagiarism, including the unauthorized reuse or misrepresentation of datasets, tables, or figures
All such practices are strictly prohibited.
Every submitted manuscript is screened using reputable similarity detection software prior to peer review. DIMASINTEGRA enforces a maximum overall similarity index of 20%, excluding references, bibliographies, direct quotations, and standard methodological descriptions.
In addition to the overall similarity score, the editorial team conducts a source-by-source analysis. A manuscript may still be subject to rejection if:
A high percentage of similarity originates from a single source
Overlap appears in conceptual, analytical, or discussion sections
Similarity suggests inappropriate paraphrasing or unattributed borrowing
Manuscripts exceeding the permitted threshold will be returned to the authors for revision or rejected, depending on the severity and intent of the overlap.
If plagiarism is identified at any stage of the publication process:
Before review: the manuscript will be rejected outright
During review: the review process will be suspended pending investigation
After publication: the article may be retracted, and a retraction notice will be issued
In serious cases, the journal reserves the right to notify the authors’ affiliated institutions and to impose submission bans for a defined period.
DIMASINTEGRA recognizes the growing role of AI technologies in academic workflows and permits their limited and transparent use under clearly defined conditions. AI tools may be used only for technical or linguistic assistance, such as grammar checking, language polishing, or improving readability.
AI tools must not be used to:
Generate research ideas, objectives, or theoretical frameworks
Design methodologies or instruments
Analyze or interpret data
Produce discussion, conclusions, or policy recommendations
Generate references, citations, or bibliographic entries
Fabricate data, images, tables, or empirical findings
The intellectual content of the manuscript must remain the sole responsibility of the human authors.
Authors are required to explicitly disclose any use of AI tools in their manuscript, typically in the acknowledgments or a dedicated “AI Use Statement.” The disclosure must specify:
The name of the AI tool used
The purpose of its use (e.g., language editing)
Confirmation that AI did not contribute to scholarly content
Failure to disclose AI use, or evidence of AI-generated substantive content, will be treated as ethical misconduct.
The editorial team may employ both manual assessment and technological tools to detect inappropriate AI use, including inconsistencies in writing style, fabricated references, or unverifiable claims. When suspected misuse is identified, the manuscript will be investigated, and authors may be required to provide clarification or original drafts.
By submitting a manuscript to DIMASINTEGRA, authors affirm that their work is original, ethically produced, and compliant with this plagiarism and AI-use policy. The journal’s strict enforcement of these guidelines reflects its commitment to scholarly credibility, ethical community engagement, and responsible innovation in higher education–based Pengabdian kepada Masyarakat.
Journal Pengabdian kepada Masyarakat Terintegrasi (Journal DIMASINTEGRA)
Publisher: Nexus Publishing NXP
Address: Perum Landungsari Asri B-1, Malang
Email: admin@dimasintegra.com or dimasintegrajournal@gmail.com
Website: https://dimasintegra.com/
ISSN: -
Work is distributed under Creative Commons Attribution-ShareAlike 4.0 International License.