PENGARUH TOTAL ASSET TURNOVER DAN NET PROFIT MARGIN TERHADAP PERTUMBUHAN LABA PADA PT. INDOFOOD SUKSES MAKMUR, Tbk TAHUN 2017-2019
Bibliographic record
Abstract
Tujuan dari penelitian ini dimana untuk mengetahui apakah Total Asset Turnover dan Net Profit Margin berpengaruh terhadap pertumbuhan laba dari perusahaan PT Indofood Sukses Makmur Tbk. Variabel independen yang digunakan dalam penelitian ini terdiri dari Totoal Asset Turnover dan Net Profit Margin, sedangkan variabel dependennya yang digunakan yaitu pertumbuhan laba. Dimana pertumbuhan laba merupakan suatu indikasi bahwa terjadinya suatu perubahan kondisi ekonomi dalam suatu perusahaan, yaitu perubahan ke arah yang lebih baik apa bila perusahaan tersebut mendapatkan laba dan akan menjadi negatif apabila terjadi suatu perusahaan rugi, karena tujuan utama perusahaan adalah menghasilkan laba yang maksimal. Populasi dalam penelitian ini adalah laporan keuangan PT Indofood Sukses Makmur Tbk periode 2017-2019. Sampel yang digunakan dalam penelitian ini menggunakan teknik sampel jenuh. Sampel jenuh adalah teknik penentuan sampel bila semua anggota populasi digunakan sebagai sampel.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".