Peranan Galeri Investasi Bursa Efek Indonesia Selama Masa Pandemi Covid-19 Dalam Meningkatkan Jumlah Investor
Bibliographic record
Abstract
Many industries have been affected by Covid-19 due to investors who are hesitant to invest. This was shown based on data from the Indonesian Stock Exchange, which experienced a decline in the Jakarta Composite Index (IHSG) at the start of the pandemic, namely in the first quarter of 2020. But in the second quarter of 2020 (May 2020-June 2020) it showed an increase. This is a success in the role of the Indonesian Stock Exchange Investment Gallery to become one of the records in the history of the Indonesian Capital Market. This study aims to determine the role of the Indonesian Stock Exchange Investment Gallery in increasing the number of stock investors in the Indonesian Capital Market. The research method used is descriptive qualitative with data sources in the form of secondary data from journals and previous scientific articles. The data collection technique used is literature and literature study. The conclusion in this study is that the success of investment galleries is influenced by internet penetration, the distribution of domestic investors, the number of investment galleries and their role which is right on target in Generation Z.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".