Pengaruh Leverage, Kepemilikan Institusional, Ukuran dan Nilai Perusahaan Terhadap Tindakan Manajemen Laba
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menganalisis faktor-faktor yang dapat mempengaruhi tindakan manajemen laba pada perusahaan yang termasuk dalam indeks Kompas100. Variabel yang digunakan dalam menganalisis tindakan manajemen laba yaitu leverage, kepemilikan institusional, ukuran perusahaan dan nilai perusahaan. Penelitian dilakukan pada perusahaan yang berturut-turut masuk dalam indeks Kompas100 pada Bursa Efek Indonesia untuk periode 2008-2012. Teknik pengambilan sampel dengan menggunakan teknik purposive sampling, sehingga pada akhirnya diperoleh sebanyak 27 sampel perusahaan. Metode pengujian data dengan analisis regresi linier berganda. Berdasarkan hasil pengujian data, diperoleh bahwa secara simultan, leverage, kepemilikan institusional, ukuran perusahaan dan nilai perusahaan berpengaruh signifikan terhadap Manajemen Laba. Secara parsial, ukuran perusahaan berpengaruh signifikan negatif terhadap Manajemen Laba, sedangkan leverage, kepemilikan perusahaan dan nilai perusahaan tidak berpengaruh signifikan terhadap manajemen laba.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".