PENDAMPINGAN PENYEDIAAN SARANA AIR BERSIH DI DESA WISATA STONE PARK BUKIT PERTAPAN TURUNAN GIRISUKO PANGGANG GUNUNGKIDUL
Bibliographic record
Abstract
Desa Turunan, Girisuko, Panggang, Gunungkidul, secara swadaya membentuk Kelompok Tani Hutan Wono Asri Handayani, Kelompok Tani tersebut mengawali ide membangun dan mengembangkan desa wisata Stone Park Bukit Pertapan secara gotong royong yang melibatkan warga sekitar. Dengan pemandangannya yang indah banyak pengunjung yang menginap dengan mendirikan tenda karena tidak ingin kehilangan momen menikmati sunset di pagi hari. Permasalahan yang ada adalah kebutuhan air bersih yang sangat minim, untuk memenuhi kebutuhan pengunjung baik yang menginap maupun tidak menginap. Kebutuhan air bersih merupakan syarat wajib yang harus dipenuhi oleh sebuah desa wisata guna menjamin kenyamanan dan kepuasan pengunjung. Dengan luas area wisata yang besar dan terbagi menjadi beberapa spot tempat untuk melihat pemandangan dan gua, hanya memiliki 1(satu) toilet dengan 1 (satu) penampungan air. Berkat adanya pendampingan yang dilaksanakan dari Teknik Industri ITDA telah menambah 1(satu) toilet dan 1 (satu) penampungan air di destinasi wisata Stone Park.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 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".