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Record W4415271963 · doi:10.29408/geodika.v9i2.29343

Analisis Alih Fungsi Lahan Pertanian pada Kawasan Rawan Bencana di Kota Batu

2025· article· W4415271963 on OpenAlexaff

Bibliographic record

VenueGeodika Jurnal Kajian Ilmu dan Pendidikan Geografi · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAgribusinessYardBank

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.004
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.007
GPT teacher head0.214
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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