Effect of Company Performance on Inflation During the Beginning of the COVID 19 Pandemic (Empirical Study of Transportation Sector Companies Listed on the Indonesia Stock Exchange for the Period 2019-2020 (Quarter I)
Bibliographic record
Abstract
This study aims to empirically examine the effect of Company Performance on Inflation during the beginning of the Covid-19 pandemic. The independent variable in this study is Company Performance which consists of Profitability (Return on Investment) as X1 and Liquidity (Current Ratio) as X2. The dependent variable is Inflation as Y. This type of research takes all-time series data including Company Performance and Inflation for the period 2019-2020 (Quarter I). The number of research samples using saturated sampling techniques was obtained 32 samples. The data analysis used was the t-test (partial) using SPSS 25. The results showed that simultaneously the Return on Investment and Current ratio affected Inflation Tm it shows that the profitability ratio variable (Return on Investment) has a significant effect on inflation, the Liquidity ratio (Current Ratio) variable has no significant effect on inflation.
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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 | 0.004 |
| 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 | 0.001 |
| 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 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".