The Effect of Working Capital on Liquidity at PT. Indofood CBP Sukses Makmur Tbk on the Indonesia Stock Exchange
Bibliographic record
Abstract
The purpose of this study was to determine the effect of working capital on liquidity at PT. Indofood CBP Sukses Makmur Tbk on the Indonesia Stock Exchange. The variables used in this study consist of independent variables consisting of Cash Turnover and Inventory Turnover, while the dependent variable is profitability as measured by Quick Ratio, with units of percent. the population in this study is the financial statements of PT Indofood CBP Sukses Makmur Tbk. Those listed on the IDX (2015 Quarter IV to 2022 Quarter III), while the sample used in this research is Quarterly Financial Reports and Quarterly Profit / Loss starting from 2015 Quarter IV to 2022 Quarter III. At PT Indofood CBP Sukses Makmur Tbk which is listed on the IDX. Data collection using documentation techniques. The method used in this study is the Multiple Linear Regression Method with a probability of 0.05. The results of the study show that: partially working capital (Cash Turnover) has a significant effect on Liquidity with a significance level of 0.008 and the Receivables Turnover variable has no significant effect on Liquidity with a significance level of 0.120. Simultaneously working capital as measured by Cash Turnover and Accounts Receivable Turnover has a significant effect on Liquidity with a significance level of 0.013 at PT. Indofood CBP Sukses Makmur Tbk on the Indonesia Stock Exchange. From the two independent variables Cash Turnover and Accounts Receivable Turnover it can be concluded that what has the dominant influence on Liquidity is the Cash Turnover variable with a significance level of 0.008
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".