IMPLEMENTASI CONTROL OBJECTIVES FOR INFORMATION AND RELATED TECHNOLOGY TERHADAP AUDIT INTERNAL DI INDONESIA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sistem control objectives for information and related technology is very advanced and has developed many advanced applied in countries such as Germany, Canada, United States of America, United Kingdom,etc. A lot of auditor use Control objective for information and Related Technology to understanding client’s company or organisation structure and internal control system, futhermore COBIT helps auditor to reveal about every single detail of it, such as their real expenses, benefit, deals and goals. This study aims to describe the system control objectives for information and related technology, as well as linkages with COBIT internal audit system. In addition, this study also aims to inform companies in Indonesia which are some who have implemented COBIT in their internal control systems. The result about this study is with the use of COBIT system in the company, it will be easier to achieve their goals as well as easier to avoid the possible risks that can be encountered. And for the auditor, COBIT greatly help facilitate auditor in view of the level of compliance, transparency, as well as the successful implementation of the system has been made. Key Words : Internal Audit, Control Objectives and Related Technology, IT Governance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it