PEMANFATAN SISTEM INFORMASI GEOGRAFIS (SIG) UNTUK PEMETAAN IMBUHAN AIRTANAH DAN KERENTANAN AIRTANAH DI KAWASAN KARST (STUDI KASUS DI KECAMATAN PALIYAN DAN KECAMATAN SAPTOSARI, KABUPATEN GUNUNGKIDUL)
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
Pemetaan imbuhan airtanah dan kerentanan airtanah merupakan bagian yang penting dalam upaya pengelolaan kawasan karst. Penelitian ini dilakukan di sebagian Kawasan Karst Gunungsewu di Kecamatan Paliyan dan Kecamatan Saptosari, Kabupaten Gunungkidul. Penelitian ini bertujuan untuk mengetahui sebaran spasial tingkat imbuhan airtanah dan tingkat kerentanan pencemaran airtanah. Metode yang digunakan dalam penelitian ini adalah APLIS yang memanfaatkan sistem informasi geografis (SIG) dengan analisis tumpangsusun (overlay). Variabel yang digunakan dalam penelitian ini adalah ketinggian tempat (elevasi) dari permukaan laut, kemiringan lereng, litologi (batuan), zona infiltrasi, dan tanah. Hasil penelitian menunjukkan bahwa nilai imbuhan airtanah dan tingkat kerentanan airtanah meliputi tingkat sangat rendah sampai dengan tinggi.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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