Net Profit Margin (Npm), Return On Assets (Roa) Terhadap Harga Saham
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menganalisis tentang bagaimana pengaruh Net Profit Margin (NPM) dan Return On Asset (ROA) Terhadap Harga Saham Pada Perusahaan Manufaktur Sub Sektor Rokok Yang Terdaftar Di Indeks LQ-45 Periode 2012-2016.Populasi yang menjadi objek dalam penelitian ini adalah Perusahaan Manufaktur Sub Sektor Rokok periode 2012-2016. Jumlah sampel yang digunakan dalam penelitian ini adalah 4 Perusahaan Rokok yang ada terdaftar di LQ 45 Bursa Efek Indonesia. Sampel penelitian ini diambil dengan kriteria tertentu yaitu perusahaan yang manufaktur yang tergolong sektor rokok dan masih berdiri selama periode pengamatan dan dipublikasikan di LQ45 periode 2012-2016. Metode analisis data yang digunakan dalam penelitian ini dengan analisis regresi sederhana, analisis regresi berganda, uji hipotesis yaitu koefisien determinan, uji F, dan uji T.Hasil penelitian Net Profit Margin dan Return On Assets mempunyai pengaruh positif dan signifikan terhadap Harga Saham pada Perusahaan Sub Sektor Rokok.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.009 |
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".