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Analisis daya dukung lahan permukiman berbasis kesesuaian lahan Kecamatan Sinjai Utara Kabupaten Sinjai

2025· article· W4415331926 on OpenAlexaff
Wahyu Amanah Putra, Syarif Beddu, Nurul Istiqamah Ulil Albab

Bibliographic record

VenueTEKNOSAINS MEDIA INFORMASI SAINS DAN TEKNOLOGI · 2025
Typearticle
Language
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCarbon stockLand useHydrology (agriculture)Population

Abstract

fetched live from OpenAlex

Kecamatan Sinjai Utara, sebagai ibukota Kabupaten Sinjai, mengalami perkembangan jumlah dan aktivitas penduduk yang kompleks. Seiring meningkatnya jumlah penduduk, kebutuhan tempat tinggal juga meningkat serta menyebabkan perubahan penggunaan lahan dari lahan produktif ke perumahan. Penelitian ini dilakukan untuk mengetahui potensi pemanfaatan lahan permukiman dan ambang batas jumlah penduduk, melalui analisis Kesesuaian Lahan Permukiman, Daya Dukung Lahan Permukiman, dan Proyeksi Penduduk. Hasil penelitian menunjukkan bahwa lahan sesuai untuk kawasan permukiman memiliki luas 5,68 km² (19,43% dari luas wilayah kecamatan). Dengan DDPm 4,23 pada tahun 2022, Kecamatan Sinjai Utara masih mampu menampung penduduk hingga 218.321 jiwa. Proyeksi penduduk 10 tahun kedepan menunjukkan jumlah penduduk sebanyak 59.788 jiwa dengan DDPm 3,65, menandakan Kecamatan Sinjai Utara masih mampu menampung penduduk pada 10 tahun kedepan.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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.

Opus teacher head0.024
GPT teacher head0.233
Teacher spread0.209 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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