Perancangan Branding Desa Tetebatu Selatan Melalui Media Visual
Bibliographic record
Abstract
Desa merupakan unit pemerintahan terkecil yang telah memiliki otonom untuk mengelola sumber daya yang dimilikinya secara mandiri. Untuk itu desa membutuhkan strategi branding supaya desa mendapatkan perhatian investor atau masyarakat luar untuk melakukan perjalanan, atau membelanjakan uangnya di daerah tersebut. Branding Desa adalah perencanaan dan perancangan pembangunan desa (brand desa) dan produk turunannya di bidang ekonomi, pariwisata, budaya dan lain-lain (brand produk). Latar belakangnya didasarkan pada realita yang ada bahwa Desa Tetebatu Selatan ini merupakan desa yang saat ini sedang dikembangkan melalui potensi-potensi wisatanya dan berbagai hasil produk dari alam. Untuk itu dilakukan perancangan ini agar masyarakat dapat mendukung Desa Tetebatu Selatan yang mulai berkembang agar dapat menjadi desa wisata yang baik dan dikenal masyarakat umum. Branding memliki tujuan dan makna yang lebih luas yang merupakan bagian dari strategi perusahaan untuk sampai ke benak orang atau khalayak ramai
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.059 | 0.012 |
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".