ANALISIS POTENSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN ALTMAN Z SCORE PADA PERUSAHAN PENERBANGAN (DAMPAK PANDEMI COVID-19 DENGAN PENUTUPAN OBJEK WISATA DAN PSBB)
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
This study aims to identify and analyze the potential for financial distress in airlines at Indonesia. The object of this research is the airlines listed on the Indonesia Stock Exchange (BEI), namely PT. Garuda Indonesia Tbk and PT. AirAsia Indonesia Tbk. The data used is in the form of financial reports that have been published on the Indonesia Stock Exchange through the website (www.idx.co.id) in the first quarter of 2020 – third quarter of 2020. The data analysis technique uses the Altman Z Score in predicting potential financial distress. The results of the study found that PT Garuda Indonesia Tbk and PT AirAsia Indonesia Tbk were in financial distress or in an unhealthy financial condition, and were classified as companies that have the potential to experience bankruptcy. Research shows that PT AirAsia Indonesia Tbk has a higher potential for bankruptcy than PT Garuda Indonesia Tbk.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it