Policy presence
Diponegoro University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Semarang, Indonesia
Diponegoro University has 5 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.
v1 public contract
Diponegoro University has 5 source-backed AI policy claims from 2 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 17, 2026. Discovery context: Diponegoro University is listed as QS 2026 rank =624.
As of this public record, University AI Policy Tracker lists Diponegoro University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/diponegoro-university.json. The entity-level confidence is 88%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
Diponegoro University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Diponegoro University has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Diponegoro University has 2 source-backed public claims for coursework; deterministic analysis status: blocked.
Diponegoro University has 2 source-backed public claims for exams; deterministic analysis status: blocked.
Diponegoro University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Diponegoro University has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Diponegoro University has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.
Diponegoro University has 1 source-backed public claim for named ai services; deterministic analysis status: blocked.
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Diponegoro University has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
5 reviewed evidence-backed public claim
Research
Normalized value: Jurnal Ilmu Sosial authors may use AI supportively with disclosure; AI cannot be an author.
Original evidence
Evidence 1Authors may use AI Tools in the preparation of manuscripts submitted to JIS, provided that such use remains supportive rather than substitutive of scholarly judgment. ... The use of AI Tools must be declared at the time of submission in a dedicated AI Declaration Statement... AI Tools may not be listed as authors or co-authors.
Research
Normalized value: Jurnal Ilmu Sosial restricts reviewer/editor AI use for confidential peer-review and editorial judgment.
Original evidence
Evidence 1Reviewers must not upload, share, or process submitted manuscripts or review reports through AI Tools... Generative AI must not be used to evaluate manuscripts, generate review reports, or formulate editorial judgments. ... Editors must not upload manuscripts, reviewer reports, or editorial correspondence into AI Tools.
Academic Integrity
Normalized value: Students should acknowledge AI use; unacknowledged AI use is framed as an academic integrity issue.
Original evidence
Evidence 1Sebagai mahasiswa Universitas Diponegoro, Anda memiliki tanggung jawab untuk memastikan bahwa setiap tugas yang dikumpulkan merupakan hasil karya pribadi. ... Pelanggaran seperti kolusi, plagiarisme, pembelian karya dari pihak ketiga, maupun penggunaan perangkat lunak AI tanpa pengakuan akan diperlakukan dengan sangat serius dan ditangani sesuai dengan prosedur pelanggaran akademik yang berlaku
Localized display only
As a Diponegoro University student, each submitted assignment is your own work; unacknowledged use of AI software is treated seriously under academic misconduct procedures.
Ai Tool Treatment
Normalized value: AI may support academic work, but should not replace critical reasoning or original student effort.
Original evidence
Evidence 1AI boleh membantu menulis, menyunting, atau mencari literatur, tetapi tidak boleh menjadi pengganti penalaran kritis manusia. ... Mahasiswa: menggunakan AI untuk mendukung kreativitas, bukan sebagai jalan pintas. Keterampilan berpikir kritis dan analitis tetap utama.
Localized display only
AI may help with writing, editing, or literature searching, but must not replace human critical reasoning; students should use AI to support creativity, not as a shortcut.
Research
Normalized value: Research/publication AI use should be disclosed and AI output manually verified.
Original evidence
Evidence 1Jika AI digunakan dalam analisis data, penulisan, atau penyusunan draft, kontribusi tersebut harus diungkapkan secara eksplisit dalam publikasi. ... Semua hasil yang dihasilkan AI harus diverifikasi ulang secara manual untuk mencegah bias, kesalahan faktual, atau manipulasi.
Localized display only
If AI is used in data analysis, writing, or drafting, the contribution should be explicitly disclosed in publications; all AI-generated results should be manually reverified.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
2 source attribution
ejournal.undip.ac.id
digilib.undip.ac.id
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