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Record W4393006466 · doi:10.55123/storage.v3i1.3141

ANALISIS PERANCANGAN ANGGARAN BIAYA RUKO DUA LANTAI TIPE 340 DI KABUPATEN NGADA, NTT

2024· article· id· W4393006466 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

VenueSTORAGE Jurnal Ilmiah Teknik dan Ilmu Komputer · 2024
Typearticle
Languageid
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Peningkatan jumlah penduduk di sebuah kota dapat menyebabkan terjadinya peningkatan aktivitas kota tersebut, tentu saja peningkatan itu membutuhkan lahan yang luas dan strategis namun peningkatan jumlah penduduk yang meningkat tidak berjalan lurus dengan ketersediaan lahan sehingga perlu efisiensi dalam penggunaan lahan. Karena fungsi ganda tersebut pembangunan ruko perlu direncanakan terlebih dahulu, salah satunya perencanaan anggaran biaya agar pembangunan ruko menjadi lebih terencana dan ekonomis dari segi biaya. Metode penelitian ini menggunakan metode deskriptif. Metode penelitian ini digunakan untuk memecahkan masalah dengan mengumpulkan data, klasifikasi, analisis, kesimpulan dan laporan. Dari hasil analisa Rencana Anggaran Biaya (RAB) yang telah dikerjakan, estimasi biaya yang dibutuhkan untuk membangun ruko dua lantai tipe 340 di Kabupaten Ngada, NTT sebesar Rp.1.336.880.307,63 (Satu Miliar Tiga Ratus Tiga Puluh Enam Juta delapan ratus delapan puluh ribu Tiga Ratus Tujuh Enam Puluh Tiga Rupiah).

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0040.001
Research integrity0.0010.003
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 head0.015
GPT teacher head0.253
Teacher spread0.238 · 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