Analisis Pergeseran Garis Pantai Di Wilayah Pesisir Kabupaten Lombok Utara Dengan Metode Weighted Normalized Difference Water Index (Wndwi) Dan Deteksi Tepi Canny Pada Citra Landsat 8
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
Perubahan garis pantai dapat terjadi setiap waktu. Perubahan yang terjadi dapat memengaruhi kondisi fisik pantai sampai kondisi masyarakat di sekitarnya. Perubahan tersebut dapat dengan mudah diketahui dengan bantuan produk penginderaan jauh sehingga menekan kekurangan akibat keterbatasan waktu, ruang, dan biaya dalam penelitian. Pada penelitian ini dilakukan analisis garis pantai menggunakan metode klasifikasi Weighted Normalized Difference Water Index (WNDWI) dan deteksi tepi Canny terhadap citra Landsat 8 dengan lokasi penelitian di wilayah pesisir Kabupaten Lombok Utara (KLU) dalam kurun waktu 5 tahun (2016-2021). Hasil yang diperoleh menunjukkan secara umum garis pantai wilayah pesisir KLU mengalami pergeseran sebesar 10,385 m dengan laju pergeseran sebesar 2,077m/tahun. Sehingga berdasarkan PERMEN-KP RI nomor 21 tahun 2008, bahwa pergeseran yang terjadi tidak berada dalam level ancaman yang dikategorikan. Meskipun perubahan fisik pesisir akibat akresi maupun abrasi tetap terjadi.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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