ANALISIS POTENSI KEBANGKRUTAN PADA PT. SEPATU BATA Tbk
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
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.007 |
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