Peningkatan pendapatan asli desa melalui pembinaan revitalisasi BUMDes dan tata kelola dana desa
Bibliographic record
Abstract
Keuangan desa merupakan hal yang strategis bagi desa maupun bagi pemerintahan di kabupaten. Pentinganya keuangan desa ditegaskan dengan adanya Undang-Undang Tentang Desa Nomor 6 Tahun 2014 Tentang Desa. Keadaan yang ada di desa sebenarnya menunjukkan pola keuangan di desa yang dilakukan oleh perangkat desa. Dimulai dari tahap perencanaan harus disusun bersama masyarakat desa karena dalam pelaksanaan dan pengelolaan keuangan desa harus dikelola berdasarkan asas-asas transparan, akuntabel, partisipatif serta dilakukan dengan tertib dan disiplin anggaran. Pengabdian bertujuan untuk melakukan pendampingan penyusunan dokumen perencanaan pembangunan desa,. membina perencanaan pada penggunaan akun Siskeudes pada aparat desa meliputi masalah penginputan, masalah posting anggaran dan laporan keuangan di dalam APBDes. Pendampingan BUMDes, persamaan persepsi dengan aparatur desa, regulasi BUMDes, Job Desk Manajerial BUMDes. Sasaran yang ditujukan adalah perangkat desa yaitu kepala desa, sekretaris desa dan bendahara desa. Metode penerapan yang dilakukan pembinaan dan pendampingan. Tingkat ketercapaian sasaran program dibuatnya peta jalan BUMDes dan pelaporan keuangan dana desa telah menggunakan sistem Siskeudes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 0.010 |
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".