Pengaruh Perputaran Kas, Perputaran Piutang, Perputaran Persediaan, dan Pertumbuhan Hutang terhadap Profitabilitas pada Perusahaan Sub Sektor Makanan dan Minuman yang terdaftar Di Bursa Efek Indonesia
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.
Bibliographic record
Abstract
Penelitian ini dilakukan bertujuan untuk : (1) menganalisis pengaruh perputaran kas terhadap profitabilitas; (2) menganalisis pengaruh perputaran piutang terhadap profitabilitas; (3) menganalisis pengaruh perputaran persediaan terhadap profitabilitas; (4) menganalisis pengaruh pertumbuhan hutang terhadap profitabilitas; (5) menganalisis pengaruh perputaran kas, perputaran piutang, perputaran persediaan dan pertumbuhan hutang terhadap profitabilitas secara simultan. Penelitian ini menggunakan data sekunder. Teknik analisis data yang digunakan adalah uji asumsi klasik dan uji regresi linear berganda dengan menggunakan bantuan Statistical Product and Service Solution (SPSS). Hasil penelitian menunjukkan bahwa : (1) perputaran kas memiliki pengaruh negatif dan tidak signifikan terhadap profitabilitas; (2) perputaran piutang memiliki pengaruh negatif dan signifikan terhadap profitabilitas; (3) perputaran persediaan memiliki pengaruh positif dan signifikan terhadap profitabilitas; (4) pertumbuhan hutang memiliki pengaruh negatif dan tidak signifikan terhadap profitabilitas; (5) perputaran kas, perputaran piutang, perputaran persediaan, dan pertumbuhan hutang secara simultan memiliki pengaruh yang signifikan terhadap profitabilitas.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it