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Record W2794846653 · doi:10.36456/waktu.v15i1.437

PEMANFAATAN LAHAN SEMPADAN SUNGAI BERBASIS SIG (SISTEM INFORMASI GEOGRAFIS)

2017· article· id· W2794846653 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWaktu · 2017
Typearticle
Languageid
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsForestryPhysicsGeography

Abstract

fetched live from OpenAlex

Daerah sempadan sungai berubah fungsi menjadi lahan permukiman maupun kegiatan ekonomi lainnya, yang disebabkan oleh tingginya urbanisasi. Salah satu daerah sempadan sungai yang banyak berubah fungsi tersebut adalah kawasan Sempadan Sungai Brantas Surabaya. Tujuan penulisan ilmiah ini adalah untuk mengetahui pemanfaatan lahan di daerah Sempadan Sungai Brantas. Metode yang digunakan adalah analisis deskriptif kualitatif untuk tata guna lahan di daerah kawasan sempadan sungai. Teknik analisis yang digunakan adalah berbasis SIG (Sistem Informasi Geografis). Hasilnya menunjukkan bahwa 48% bangunan permanen yang berdiri dan didominasi kawasan industri dengan luas penggunaan lahan sebesar 138.231 m² atau 29%. Arahan dari penelitian ini adalah perlu adanya sosialisasi perijinan pemanfaatan lahan kawasan sempadan sungai dari pemerintah kepada masyarakat sekitar kawasan sempadan sungai Brantas Surabaya.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.741
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0040.002
Open science0.0060.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.004

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 head0.026
GPT teacher head0.276
Teacher spread0.250 · 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