Dampak Emisi PLTU Suralaya terhadap Konsentrasi PM2.5 di Jakarta Raya: Analisis Spasio-Temporal Berbasis Citra Satelit MODIS (2019-2022)
Bibliographic record
Abstract
Salah satu polutan udara yang menjadi perhatian utama adalah Particulate Matter 2.5 (PM2.5), yang salah satunya bersumber dari pembakaran bahan bakar fosil, seperti pembangkit listrik tenaga uap (PLTU).Penelitian ini mengkaji dampak emisi PLTU Suralaya, yang berlokasi di Banten, terhadap konsentrasi PM2.5 di Jakarta Raya. Lokasi PLTU yang relatif dekat dengan Jakarta Raya menjadi dasar pemilihan objek studi ini. Penelitian ini memanfaatkan data citra satelit karena keunggulannya dalam hal cakupan wilayah, frekuensi pengamatan, dan efisiensi biaya operasional. Data satelit yang digunakan adalah Moderate Resolution Imaging Spectroradiometer (MODIS) untuk menganalisis konsentrasi PM2.5 yang diperoleh dari Aerosol Optical Depth (AOD) melalui konversi menggunakan algoritma R. Li dkk. Hasil analisis menunjukkan bahwa tidak terdapat hubungan yang signifikan antara arah angin dengan konsentrasi PM2.5 di Jakarta Raya. Berdasarkan temuan ini, dapat disimpulkan bahwa PLTU Suralaya tidak terbukti secara signifikan mempengaruhi konsentrasi PM2.5 di Jakarta Raya.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".