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Record W4393006439 · doi:10.55123/storage.v3i1.3134

ANALISIS RENCANA PEMBANGUNAN LOKASI RELOKASI DUSUN JATI REJO, KABUPATEN BANTUL

2024· article· id· W4393006439 on OpenAlexaff
David Darlahanus, Rizal Maulana, Andrea sumarah Asih, Sely Novita Sari

Bibliographic record

VenueSTORAGE Jurnal Ilmiah Teknik dan Ilmu Komputer · 2024
Typearticle
Languageid
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsMathematics

Abstract

fetched live from OpenAlex

Jati Rejo adalah wilayah paling rawan dan sering terjadi longsor. Oleh sebab itu pemerintah daerah mengambil kebijakan lokasi relokasi. Lokasi relokasi ialah lokasi yang disiapkan pemerintah untuk pemindahan tempat tinggal warga dari wilayah yang terdampak bencana alam. Tujuan dari penelitian ini adalah untuk mengetahui biaya pembangunan lokasi relokasi Dusun Jati Rejo, Imogiri, Kabupaten Bantul meliputi rencana pembangunan infrastruktur seperti rumah tinggal tipe 54, jalan umum dan penerangan jalan umum. Metode analisis anggaran biaya membahas tentang perhitungan volume, AHSP, SHBJ dan RAB. Dari hasil analisis Rencana Anggaran Biaya (RAB) yang telah dilakukan dapat disimpulkan bahwa biaya yang dibutuhkan untuk pembangunan infrastruktur lokasi relokasi di Kabupaten Bantul seperti rumah tipe 54 adalah sebesar Rp. 179.202.000,00; perbaikan jalan umum adalah sebesar Rp. 260.273.088,00; pembangunan penerangan jalan umum adalah sebesar Rp. 257.920.740,00.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0230.006

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 head0.009
GPT teacher head0.212
Teacher spread0.203 · 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 designNot applicable
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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