Penentuan Penerimaan Bantuan Masyarakat Menggunakan Metode Weight Product (WP)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Kelurahan Nangka Kecamatan Binjai Utara Kota Binjai merupakan salah satu kelurahan yang melakukan pengusulan dan penyaluran bantuan kepada masyarakat. Masalah yang terjadi saat ini dalam skema bantuan kepada masyarakat yaitu ketidakakuratan data penerima bantuan. Hal ini dapat menimbukan kekhawatiran jika tidak ada perbaikan maka akan berujung pada konflik sosial di lingkup masyarakat. Upaya yang dapat dilakukan dalam mengatasi permasalahan tersebut dalam mendata dan menetapkan masyarakat yang berhak menerima bantuan bagi masayarakat yaitu dengan menggunakan Sistem Pendukung Keputusan (SPK) Metode Weighted Product (WP) untuk menerapkan penentuan penerimaan bantuan masyarakat. Kriteria yang digunakan yaitu penghasilan, jumlah tanggungan anak, luas lantai, jenis dinding rumah, status kepemilikan rumah, sumber penerangan, bahan bakar masak, dan pendidikan kepala rumah tangga.
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.
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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it