Pengaruh Perubahan Lahan Terhadap Suhu Iklim Mikro Urban Heat Island (UHI) di Kawasan Perkotaan Kabupaten Bulukumba
Bibliographic record
Abstract
Perubahan iklim dan pemanasan global telah menimbulkan berbagai dampak kerusakan secara menyuluruh. Dampak tersebut dialami langsung di Indonesia, khususnya pada kawasan perkotaan Kabupaten Bulukumba di Kecamatan Ujung Bulu. Terjadinya peningkatan perubahan penggunaan lahan menjadi lahan terbangun, mempengaruhi intensitas pulau panas perkotaan (Urban Heat Island). Penelitian ini bertujuan untuk menganalisis pengaruh perubahan penggunaan lahan terhadap fenomena Urban Heat Island (UHI) di Kabupaten Bulukumba pada periode tahun 2014, 2019, 2024, dengan menggunakan metode kuantitatif melalui Interpretasi Citra Satelit untuk mengidentifikasi perubahan penggunaan lahan dan analisis suhu permukaan menggunakan data Citra Landsat 8 Kanal Band 10. Hasil penelitian menunjukkan, terjadi peningkatan suhu permukaan di Kawasan Perkotaan Kabupaten Bulukumba selama periode 2014, 2019, 2024. Pada hasil analisis regresi linear sederhana menunjukkan adanya hubungan positif yang signifikan anatara perubahan lahan terhadap kenaikan suhu permukaan dengan nilai koefisien regresi sebesar (r=0.734) dan nilai, R²=0.81) yang termasuk dalam kategori tinggi. Selain itu pola suhu permukaan pada yang tinggi cenderung mengikuti bentuk pola penggunaan lahan terbangun yang padat.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".