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Record W4297825394 · doi:10.55601/jwem.v3i1.200

Pengaruh Leverage, Kepemilikan Institusional, Ukuran dan Nilai Perusahaan Terhadap Tindakan Manajemen Laba

2013· article· id· W4297825394 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 Wira Ekonomi Mikroskil · 2013
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicCorporate Governance and Financial Management
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsBusiness administrationBusiness

Abstract

fetched live from OpenAlex

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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 score0.135
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.007

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 head0.015
GPT teacher head0.199
Teacher spread0.183 · 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