APLIKASI DATA PENGINDERAAN JAUH DAN SIG DALAM PEMILIHAN TAPAK POTENSIAL PLTN KALIMANTAN BARAT
Bibliographic record
Abstract
ABSTRAK APLIKASI DATA PENGINDERAAN JAUH DAN SIG DALAM PEMILIHAN TAPAK POTENSIAL PLTN KALIMANTAN BARAT. Untuk inventarisasi tapak potensial PLTN di wilayah pesisir Kalimantan Barat telah dilakukan penelitian di sepanjang pesisir di Provinsi Kalimantan Barat berdasar kriteria yang berlaku dalam pemilihan tapak PLTN. Tujuan penelitian adalah untuk mendapatkan tapak potensial PLTN di wilayah pesisir provinsi Kalimantan Barat berdasarkan kriteria yang berlaku. Metode penelitian meliputi pengumpulan data primer, interpretasi data penginderaan jauh dan analisis pembobotan berbasis sistem informasi geografi. Hasil pemeringkatan diperoleh 6 tapak potensial PLTN yang sesuai, yaitu: peringkat pertama di desa Air Besar, kecamatan Kendawangan, peringkat kedua di desa Sie, kecamatan Simpang, kabupaten Kayong Utara, peringkat ketiga ada di desa Sungai Kanan, Kecamatan Muara, kabupaten Ketapang, peringkat keempat berada di desa Sungai Nanjung, peringkat kelima berada di desa Kendawangan Kanan, kabupaten Ketapang dan peringkat keenam terdapat di desa Matang, kecamatan Paloh, kabupaten Sambas. Hasil analisis kesesuaian lahan menunjukkan bahwa semua tapak yang terpilih telah memenuhi kriteria umum dan khusus dalam pemilihan tapak potensial PLTN, antara lain: bukan merupakan lahan gambut, serta jauh dari pemukiman. Kata kunci: tapak potensial, PLTN, Penginderaan Jauh, SIG, matching ABSTRACT REMOTE SENSING AND GIS APPLICATION IN THE A NPP POTENTIAL SITE SELECTION AT WEST KALIMANTAN. To inventory of potential site of nuclear power plants in the coastal areas of West Kalimantan has conducted research along the coast in the province of West Kalimantan based on the applicable criteria in the selection of nuclear power plant site. The research objective is to get the potential site of nuclear power plants in the coastal areas of West Kalimantan province based criteria and a weighting system based on geographic information and matching. The rating results obtained 6 appropriate location to be used as a potential site of nuclear power plants, namely in sequence as follows: first place in the village of Air Besar, sub Kendawangan, ranked 2nd in the village Sie, sub Simpang, district North Kayong, ranking third in the village Sungai Kanan, Muara, Ketapang district, as well as to the fourth rank in the village Nanjung River, ranked fifth in the village Kendawangan, Ketapang district and ranked sixth in the coastal areas located in the village of Matang, sub Paloh, Sambas district. The results of land suitability analysis showed that all selected site have met the general and specific criteria in the selection of a potential site of nuclear power plants, among others: not a peat land, as well as away from the settlements. Keywords: potential site, NPP, Remote Sensing, GIS, matching
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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 | 0.010 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 0.018 |
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".