Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5103320922
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Riski Andriyanto (openalex, provider refresh)
- Riski Bayu Andriyanto (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Other: 1 paper
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Output Quality: 1 paper
- Skill Acquisition: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Machine learning, NLP and robotic process automation are raising audit efficiency and fraud detection globally, but Indonesia remains behind the innovators and early adopters. High investment costs, data-privacy risks and limited auditor competencies are the chief obstacles to wider implementation.openalex | Riski Andriyanto provider id |
2026-04-13 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.