RESPONS CURAH HUJAN TERHADAP FENOMENA EL NIÑO SOUTHERN OSCILLATION (ENSO) DI BONTANG
Bibliographic record
Abstract
El Niño Southern Oscillation (ENSO) merupakan fenomena yang mempengaruhi kondisi laut di ekuatorial Samudra Pasifik. Fenomena ini berpengaruh terhadap respon curah hujan di beberapa wilayah, terutama wilayah Bontang. Bontang merupakan wilayah yang berbatasan dengan selat Makassar dan merupakan wilayah yang berdekatan dengan Samudra Pasifik diantara kota-kota lain yang berada di Pulau Kalimantan. Penelitian ini bertujuan untuk mengetahui respons curah hujan terhadap fenomena ENSO di Bontang. Metode yang digunakan adalah transformasi wavelet untuk melihat kekuatan curah hujan dan cross wavelet untuk melihat korelasi ENSO terhadap curah hujan . Data yang digunakan dalam penelitian ini adalah indeks nino 3.4 dan curah hujan bulanan tahun 1985-2017. Berdasarkan hasil penelitian, diketahui bahwa curah hujan ekstrim di wilayah Bontang merespon terjadinya fenomena ENSO selama delapan tahun kejadian. Sinyal dari ENSO umumnya terjadi lebih dahulu dibandingkan sinyal dari curah hujan.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".