ANALISIS POTENSI KEBANGKRUTAN PADA PT. SEPATU BATA Tbk
Bibliographic record
Abstract
The purpose of this study is to find out the predictions of the potential occurrence of the first quarter 2018 bankruptcy at PT. Sepatu Bata Tbk, seen from financial statements, is measured by the Altman Z-score modification method with a problem resolution: Is PT. Sepatu Bata Tbk seen from the financial statements of the first quarter of 2018 measured by the indicated Altman Z-score modification potential to go bankrupt? The theoretical basis used in this study is financial management that focuses on the modified Altman Z-score method. Explains financial management is All company activities related to businesses get company funds at a low cost as well as efforts to use and allocate these funds efficiently. The analysis tool used is the Altman Z-score Modification method predicting potential bankruptcy. The results showed that PT. Sepatu Bata Tbk is measured by the Altman Z-score modification method based on the calculation of the first quarter of 2018 resulting in a Z value of 6.84 greater than 2.60 meaning that it is not indicated that it has the potential to experience bankruptcy, the research hypothesis is accepted.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".