Pandemi Covid-19 Mempengaruhi Dampak Pasar Saham di Bursa Efek Indonesia (BEI)
Bibliographic record
Abstract
The purpose of this research is generally to find out, discuss and analyze the COVID-19 pandemic affecting the impact of the stock market in Indonesia on companies listed on the Indonesia Stock Exchange (IDX). This research method uses qualitative methods with data carrying capacity through https://www.idx.co.id/about-bei/laporan-tahunan/ with secondary data techniques, namely by collecting data through online media. The results of this study are that before the pandemic in the last quarter of 2019 there was a decrease in the average daily transaction, while in the last quarter of 2020 stock investors turned positive due to the prospect of covid-19 vaccination, the implementation of work from home led to an increase of 57.92% in average -Average Active Investors per Month, from 186,102 SID (Single Investor Identification) at the end of 2019 to 293,886 SID at the end of 2020. At the close of trading on December 30, 2020 the JCI rebounded to the level of 5,979.
 Keywords: the covid-19 pandemic, the impact of the stock market, on the company
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".