Identifikasi Manifestasi Panas bumi Berdasar Interpretasi Citra di Daerah Manokwari, Provinsi Papua Barat
Bibliographic record
Abstract
Penginderaan Jauh adalah ilmu atau seni untuk memperoleh informasi tentang suatu objek, daerah maupun fenomena melalui analisa data yang diperoleh dengan suatu wahana tanpa kontak langsung dengan objek, daerah maupun fenomena tersebut. Dengan demikian untuk fenomena seperti manifestasi panasbumi dapat memanfaatkan kemampaun penginderaan jauh menggunakan satelit yang datanya berupa citra satelit. Penelitian dilakukan di daerah Kebar, Kabupaten Manokwari, Provinsi Papua Barat. Pada penelitian ini citra satelit digunakan untuk menemukan potensi panasbumi baru berupa manifestasi panasbumi di sekitar Distrik Kebar. Data yang digunakan dalam penelitian ini adalah Citra ASTER L1B, Citra SRTM dan Peta RBI. Pengolahan data diawali dengan proses deliniasi, analisa NDVI, analisa pelamparan temperatur permukaan dan proses klasifikasi. Dari hasil pengolahan data ditemukan bahwa terdapat beberapa kemungkinan manifestasi panasbumi baru di Distrik Kebar, Kabupaten Manokwari, Provinsi Papua Barat.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".