The effect of working capital management, fixed financial asset ratio, financial debt ratio on profitability in Indonesian consumer goods sector
Bibliographic record
Abstract
The purpose of this study is to analyze the impact of working capital management, fixed assets and debt ratio on company profitability. The study uses a sample of consumer goods sector companies listed on the Indonesia Stock Exchange from 2017 to 2019. The researchers use working capital management by the number of number of days account receivable (ARDays), the number of days Account Payable (APDays), the number of days inventory (INVDays), the Fixed Financial Asset Ratio (FA), and the Financial Debt Ratio (FD) with profitability by using gross profit (GP). Researchers used the secondary data obtained from the Indonesia Stock Exchange (IDX) on yearly basis and process the data statistics with multiple regression by SPSS 20. The population of this research includes 54 companies and the total sample covers 46 companies by passing the purposive sampling stage. The results of this study indicate that there was a significant relationship between working capital management, FA ratio and profitability while FD ratio had no effect on profitability.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".