Analisis Pertumbuhan Transaksi Simpan Pinjam Koperasi Sebelum dan Selama PSBB Studi Kasus Pada Koperasi Karunika
Bibliographic record
Abstract
The basis of cooperative activities is cooperation which is considered as a way to solve various problems faced by each member. Moreover, during this PSBB period, there were many people whose income was reduced. Therefore, it is appropriate for cooperatives to be important in the economic system of a country in addition to other economic sectors. In January 2020 the number of borrowers at the Karunika cooperative was 51 with a loan amount of Rp. 1,114,980,161, -. And in February 2020 the number of borrowers decreased to 41 people with a loan amount of Rp. 524,916,840, - decreased by 52.9% from January. However, at the end of the first quarter in March 2020 the number of borrowers had jumped dramatically to 97 people with a loan amount of Rp. 1,983,962,076, - increased by 277% from the previous month. Even though it does not have a significant financial contribution to increasing SHU, the Koperasi Karunika savings and loans business has fulfilled the purpose of establishing this cooperative, namely the welfare of its members. This can be seen from year to year there is an increase in the number of loans and the amount of funds lent
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".