Analisis Alih Fungsi Lahan Pertanian pada Kawasan Rawan Bencana di Kota Batu
Bibliographic record
Abstract
Alih fungsi lahan pertanian di Kota Batu menjadi kawasan permukiman dan wisata telah meningkat signifikan dalam satu dekade terakhir, terutama di kawasan rawan bencana seperti gempa bumi, banjir, dan tanah longsor. Penelitian ini bertujuan untuk menganalisis pola perubahan penggunaan lahan di Kota Batu pada periode 2013-2023, dengan menggunakan metode kualitatif berbasis analisis spasial melalui Sistem Informasi Geografis (SIG). Hasil penelitian menunjukkan adanya penurunan luas lahan pertanian di kawasan rawan bencana. Perubahan ini tidak hanya meningkatkan potensi kerugian lingkungan dan risiko bencana tetapi juga mengancam keberlanjutan ketahanan pangan lokal yang menjadi penyangga kehidupan masyarakat. Temuan penelitian ini menekankan pentingnya perencanaan tata ruang berbasis risiko yang lebih terintegrasi untuk mengelola tekanan alih fungsi lahan. Selain itu, diperlukan kebijakan mitigasi bencana yang lebih komprehensif guna mengurangi dampak dari pembangunan yang tidak terkendali. Studi ini memberikan rekomendasi strategis untuk mendukung tata kelola lahan yang berkelanjutan, pengelolaan risiko bencana yang lebih efektif, serta pelestarian fungsi ekologis dan ekonomi kawasan pertanian di Kota Batu.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".