130217103_Tiffany Cuanda_A_The crisis of decreasing demand and exchange rates on MSMEs which has an impact on PT. Hero Supermarket Tbk_Perekonomian Indonesia_KEGIATAN CITATION INDIVIDU
Bibliographic record
Abstract
The crisis of decreasing demand and exchange rates for MSMEs for Hero Supermarkets. Public expenditure allocation for 2019-2020. The increase in expenditure allocation was seen for the food expenditure group from 18.8 percent to 23.3 percent and for savings by 16.9 percent to 19.2 percent. Visitors are increasing in times of the new normal. Positive growth will take place in 2021, especially in the second quarter that comes along with Ramadan and Eid. In 2020, HERO bears a loss for the year of up to Rp 1.21 trillion. This number swelled compared to the previous year which was recorded at Rp 28.22 billion. So there is a decrease in the exchange rate. The existence of PSBB restrictions caused a decrease in the number of customer visits to the hero supermarket inside the mall. PSBB triggers changes in customer shopping behavior and patterns of demand for goods. That's the decline in sales. So that the Covid-19 pandemic is again hampering people's purchasing power. As a result of the COVID-19 pandemic, the number of people who are not working has resulted in many companies being laid off so that many people are not working, resulting in a large number of unemployed. Hero Supermarket also reduces the number of employees and monitors prices. During the pandemic, working capital assistance will be provided for MSME business actors. Communities cut non-essential needs by reducing, for example, children's snacks at school by providing food from home. This will overcome the decline in income in the MSME trade sector. Hero supermarket directly cooperates with farmers, a coaching program is carried out with the hope that farmers will be able to directly distribute their products to Hero Supermarkets. The next assisted agricultural program is the hero group in collaboration with the food crop and multicultural agriculture office of Central Java province. hero supermarket thousands of workers lost their workers due to MSMEs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".