EVALUASI SISTEM PENGAMAN PANTAI DI BALI SELATAN UNTUK MENGATASI TANTANGAN PERUBAHAN IKLIM
Bibliographic record
Abstract
Perubahan iklim ini berdampak pada pesisir Indonesia yang menyebabkan erosi dan banjir rob. Kerusakan pesisir ini berdampak signifikan pada area vital yang berupa kawasan wisata seperti pada pantai Selatan Bali. Laju erosi pada pantai Bali yang saat ini mencapai 2 m/tahun dan sangat berdampak pada keberadaan objek wisata pantai di Bali. Struktur pengaman pantai dibangun dari tahun 1990an hingga saat ini didominasi seawall dan revetment. Struktur eksisting mengalami permasalahan yaitu terjadi banjir rob dan limpasan pada mercu bangunan. Metode yang digunakan adalah dengan menganalisis perubahan tinggi muka air laut dari waktu ke waktu (time series) serta simulasi numeris dengan CMS-Wave untuk memperoleh tinggi gelombang pada struktur. Muka air ekstrem (Extreme Coastal Water Level) dihitung dari rayapan akibat tinggi gelombang, kenaikan muka air laut, pasang surut dan badai. Hasil penelitian ini menunjukkan kenaikan muka air pada tahun 2022 menyebabkan 53.80% bangunan mengalami overtopping. Pada 20 tahun mendatang (2042) persentase bangunan yang mengalami overtopping meningkat menjadi 67.08%.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".