Peran Auditor Internal Dalam Pendanaan Dukungan Operasi Sekolah (Bos)
Bibliographic record
Abstract
The aim of this research is to identify and explain the role of internal audit in the allocation of BOS funds. This research uses a qualitative approach with library or library research. Audit is an operational process carried out by a qualified and independent auditor, whose aim is to ensure compliance with the conditions relating to the operation of an economic entity and its standards. Auditors carry out examinations by collecting and presenting evidence systematically, analytically, critically and accurately to provide opinions or conclusions and recommendations to stakeholders. BOS Fund Management Audits are carried out in accordance with the provisions of the audit standards of the Ministry of State Apparatus Empowerment (PER/05/M.PAN-03/2008 APIP-AUDIT-STANDARDS). Several requirements must be met before an audit can be performed.(Comparative et al., 2023). This research aims to understand the accounting information system for cash receipts and cash disbursements in school operational assistance funds (BOS). The variables used in this research are Accounting Information Systems, Cash Receipts and Cash Disbursements. The method used in this research is a qualitative method by utilizing data collection techniques then carrying out observations, interviews, documentation, triangulation and literature study. The data used in this research is primary data using observations and interviews with the Nurul Ikhwan Selabintana Sukabumi Islamic Vocational School.(Asep & Wr, 2021)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".