PENERAPAN SISTEM KEUANGAN DESA DALAM PENGELOLAAN KEUANGAN DESA PELEMWATU
Bibliographic record
Abstract
Sistem keuangan desa (SISKEUDES) merupakan suatu aplikasi yang digunakan oleh desa dalam proses penganggaran, penatausahaan serta pelaporan keuangan desa. Sistem keuangan desa (SISKEUDES) secara otomatis menghasilkan berbagai laporan yang diperlukan, sehingga dapat menghemat waktu dan biaya, mengurangi potensi kecurangan dan kesalahan, dan membantu agregasi data.. Penelitian ini bertujuan untuk menganalisis implementasi Sistem Keuangan Desa (SISKEUDES) terhadap pengelolaan keuangan di Desa Pelemwatu Kecamatan Menganti Kabupaten Gresik, penelitian ini menggunakan data kualitatif Teknik pengambilan sampel menggunakan Purposive Sampling. Hasil penelitian menunjukkan bahwa (1) Pelaksanaan Sistem Keuangan Desa di Desa Pelemwatu telah berjalan dengan baik (2) Prosedur penggunaan SISKEUDES dilakukan 4 tahap yaitu perencanaan, melaksanakan penatausahaan, dan pelaporan (3) SISKEUDES telah memberikan pengaruh positif terhadap kinerja masing-masing pegawai Desa. Kata kunci: Sistem Keuangan Desa, Keuangan Desa.
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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 | 0.005 | 0.005 |
| 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 | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.008 |
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".