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Record W4282832943 · doi:10.32520/jak.v10i2.1782

PENGARUH KOMPLEKSITAS AUDIT DAN TIME BUDGET PRESSURE TERHADAP KUALITAS AUDIT PADA KANTOR AKUNTAN PUBLIK DI PEKANBARU

2022· article· id· W4282832943 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJURNAL AKUNTANSI DAN KEUANGAN · 2022
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsBusiness administrationAuditMathematicsBusinessAccounting

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk menguji dan mendapatkan bukti empiris pengaruh kompleksitas audit dan time budget pressure terhadap kualitas audit pada Kantor Akuntan Publik di Pekanbaru. Populasi dalam penelitian ini adalah auditor yang bekerja pada 9 KAP di Pekanbaru. Pemilihan sampel dilakukan dengan cara convienience sampling, sehingga jumlah sampel yaitu 42 responden yang sesuai kreteria. Alat uji yang digunakan adalah regresi linear berganda dengan menggunakan software SPSS versi 26 untuk mengolah data. Berdasarkan hasil analisa data, disimpulkan bahwa secara parsial kompleksitas audit berpengaruh terhadap kualitas audit. Time budget pressure secara parsial berpengaruh terhadap kualitas audit. Hasil anova atau uji F menunjukkan bahwa variabel kompleksitas audit dan time budget pressure secara bersama-sama berpengaruh terhadap kualitas audit

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0030.003
Open science0.0030.004
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0150.001

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.

Opus teacher head0.014
GPT teacher head0.234
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it