Studi Pengaruh Covid-19 Pada Berbagai Sektor Pengguna Tenaga Listrik di Bangka Belitung
Bibliographic record
Abstract
Electricity in Indonesia, especially in the Bangka Belitung Islands, has been affected by the COVID-19 pandemic. The effect occurred at the beginning of the pandemic in the second quarter of 2020, namely the household sector rose to 3.3%, the social sector fell -3.1%, the industrial sector rose to 15%, business fell -9.8%, the office sector government buildings rose 3%, and the public/other street lighting sector fell -47%. By using statistical tests on the classical assumption test all sectors are normally distributed. In the partial test using multiple linear regression test for the household sector, industry, and government office buildings, only connected power affects energy consumption, namely 70.5%, 97.7%, and 37.4%. In the social and business sectors, there is an effect of connected power and tariff prices on energy consumption, namely 92% and -13%, while business is 42% and 10%, respectively. By using the simultaneous test, the household sector has an effect of 68.2%, the social sector is 75.5%, the industrial sector is 97.5%, the business sector is 44.2% and government buildings are 32.5%.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".