Pengelolaan Keuangan Rumah Tangga di Era Pandemi Covid-19 dalam Mencegah Family Financial Distress
Bibliographic record
Abstract
Pengelolaan keuangan rumah tangga ini menjadi salah satu solusi untuk bisa bertahan dalam masa pandemi covid-19 disamping itu juga dengan adanya pendampingan serta pelatihan dalam pengelolaan keuangan bertujuan agar ekonomi rumah tangga terhindar dari kesalahan dalam pengambilan keputusan keuangan dan pengelolaan keuangan rumah tangga. Mitra pengabdian masyarakat ini adalah ibu-ibu rumah tangga yang terhimpun dalam Ibu-Ibu PKK Nuriyah. Mitra ini terletak di Gang Nuriyah Rt 01 Rw 02 Lingkungan Serang Awirarangan yang berjumlah 41 Orang. Hasil pengabdian masyarakat ini yaitu peserta atau IBU PKK Nuriyah memahami dan mengetahui tentang pencatatan serta mampu mengelola keuangan rumah tangga dimasa pandemic covid-19 dalam mencegah family financial distress. Household financial management is one of the solutions to be able to survive the covid-19 pandemic in addition to the assistance and training in financial management aimed at avoiding mistakes in financial decision making and household financial management. These community service partners are housewives gathered in the Mothers of PKK Nuriyah. This partner is located in Gang Nuriyah Rt 01 Rw 02 Serang Awirarangan Neighborhood which numbers 41 people. The result of community service is that participants or IBU PKK Nuriyah understand and know about recording and are able to manage household finances during the covid-19 pandemic in preventing family financial distress.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 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".