Sistem Pendukung Keputusan Dalam Menentukan Prioritas Pembangunan Antar Dusun Melalui Dana Desa di Desa Dalan Naman Menggunakan Metode AHP
Bibliographic record
Abstract
Dana desa adalah dana APBN yang diperuntukkan bagi Desa yang ditransfer melalui APBD kabupaten/kota dan diprioritaskan untuk pelaksanaan pembangunan dan pemberdayaan masyarakat desa. Untuk menentukan prioritas dalam menyalurkan dana bantuan di Desa Dalan Naman membutuhkan sebuah sistem mengatasi keputusan dalam menentukan prioritas pembangunan antar dusun melalui dana desa di Desa Dalan Naman. Metode AHP (Analitic Hierarchy Process) merupakan metode yang dapat diuraikan ke dalam kelompok-kelompoknya yang kemudian diatur menjadi suatu bentuk hirarki sehingga permasalahan akan tampak lebih terstruktur dan sistematis. dan di dapatkan hasil berupa bahwa dusun I. Dusun I Dalan Naman dengan perancangan proyek pembanguanan yaitu Beton Penyangga Jalan Perladangan (Tanjakan Ladang Gurusisnga Kiri dan Kanan) mendapatkan nilai perangkingan 1 sebagai nilai pioritas dari pembangunan di Desa Dalan Naman.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads agree on what is shown here.
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".