Financial Performance of Telecommunication Sector Companies Before And During The Covid-19 Pandemic
Bibliographic record
Abstract
This research aims to analyze the financial performance of telecommunications sektor companies judging from profitability ratios which unclude ROA, ROE, and NPM period before and during the Covid-19 pandemi. Covid-19 has an impact on the weakening of various sektors of the economy. Nevertheless, there are still some sektors that are able togrow. One of them is the telecommunications sektor. The internet plays a big role in community activities that are generally carried out online, causing an increase in the performance of telecommuniciation issuers. The data used in this study is the financial statements of telecommunication companies listed on the Indonesia Stock Exchange quarter 2 of 2019-quarter 1 of 2021 and analyzed using descriptive methods. The results showed that the financial performance of telecommunications sektor companies was guided by the average value of profitability ratios that include ROA, ROE, and NPM obtained results that during the covid-19 pandemi were first confirmed, overall, the average financial performance of telecommunications sektor companies has increased. Assesment with the analysis of Hotteling’s T2 test also provided results that there was no difference in financial performance in terms of the profitability ratio between before and during the covid-19 pandemi
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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 | 0.003 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".