ANALISIS PERANCANGAN ANGGARAN BIAYA RUKO DUA LANTAI TIPE 340 DI KABUPATEN NGADA, NTT
Bibliographic record
Abstract
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).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".