Policy presence
Universitas Indonesia has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Depok, Indonesia
Universitas Indonesia is listed as QS 2026 rank 189. Universitas Indonesia has 5 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Universitas Indonesia is listed as QS 2026 rank 189. Universitas Indonesia has 5 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Universitas Indonesia as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universitas-indonesia.json. The entity-level confidence is 96%. 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.
Universitas Indonesia has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Universitas Indonesia has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Universitas Indonesia has 4 source-backed public claims for coursework; deterministic analysis status: blocked.
Universitas Indonesia has 4 source-backed public claims for exams; deterministic analysis status: blocked.
Universitas Indonesia has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Universitas Indonesia has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Universitas Indonesia has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Universitas Indonesia has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.
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.
Universitas Indonesia has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
Academic Integrity
Normalized value: acknowledgment-verification-paraphrase-similarity-confidentiality
Original evidence
Evidence 1Dalam penggunaan Generative AI, Sivitas Akademika harus: a. transparan dengan mencantumkan acknowledgment; b. melakukan verifikasi pada setiap tahapan Penulisan Ilmiah, termasuk referensi; c. melakukan parafrasa; d. melakukan uji kemiripan guna mencegah plagiarisme; dan e. menjaga kerahasiaan.
Localized display only
In using Generative AI, the academic community must acknowledge use, verify each scientific-writing stage including references, paraphrase, run similarity checks to prevent plagiarism, and maintain confidentiality.
Academic Integrity
Normalized value: no-ai-as-author-no-plagiarism-policy-violation
Original evidence
Evidence 1Dalam penggunaan Generative AI, Sivitas Akademika dilarang: a. menjadikan Generative AI sebagai penulis; dan b. melanggar kebijakan plagiarisme;
Localized display only
In using Generative AI, the academic community is prohibited from making Generative AI an author and from violating plagiarism policy.
Ai Tool Treatment
Normalized value: rector-regulation-16-2025-generative-ai-scientific-writing
Original evidence
Evidence 1Peraturan Rektor ini dimaksudkan sebagai pedoman bagi setiap penggunaan Generative AI dalam Penulisan Ilmiah dengan menetapkan batasan dalam penggunaan Generative AI.
Localized display only
The Rector Regulation is intended as guidance for each use of Generative AI in scientific writing by setting limits on Generative AI use.
Academic Integrity
Normalized value: sanctions-for-generative-ai-rule-violations
Original evidence
Evidence 1Setiap pelanggaran terhadap penggunaan Generative AI dikenakan sanksi berupa: a. pembinaan mengenai etika Penulisan Ilmiah dan penggunaan Generative AI; b. teguran lisan atau tertulis; c. penurunan nilai; d. pembatalan Karya Ilmiah; dan e. sanksi lainnya. Pengenaan sanksi ... disesuaikan dengan tingkat pelanggaran yang dilakukan.
Localized display only
Every violation of Generative AI use is subject to sanctions including ethics coaching, oral or written warning, grade reduction, cancellation of scientific work, or other sanctions, adjusted to the violation level.
Research
Normalized value: fasilkom-kep-genai-research-methodology-disclosure-and-review-access
Original evidence
Evidence 1Penelitian Berbasis Generative AI (PR UI No 23 Tahun 2025 Pasal 10 & 13): Peneliti harus mengungkapkan secara terbuka penggunaan GenAI dan teknologi baru dalam metodologi penelitian, termasuk algoritma, data, parameter dan kode sumber yang digunakan. Peneliti harus menyediakan akses ke KEP atau badan pengawas untuk meninjau seluruh proses penggunaan GenAI dan teknologi baru guna memastikan transparansi dan akuntabilitas.
Localized display only
For GenAI-based research, the page says researchers must openly disclose use of GenAI and new technologies in methodology, including algorithms, data, parameters, and source code, and must provide access for KEP or a supervisory body to review the process.
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.
4 source attribution
ppid.ui.ac.id
kep.cs.ui.ac.id
psikologi.ui.ac.id
psikologi.ui.ac.id
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.