STRATEGI PRESERVASI DAN KONSERVASI BAHAN PUSTAKA TERCETAK DI PERPUSTAKAAN STIE AUB (ADI UNGGUL BHIRAWA) SURAKARTA
Bibliographic record
Abstract
Penelitian ini bertujuan mengidentifikasi strategi penanganan perbaikan kerusakan bahan pustaka tercetak beserta faktor penyebab kerusakan dan kendala yang dihadapi pustakawan. Penelitian ini dilakukan dengan pendekatan kualitatif menggunakan studi literatur, observasi, dokumentasi, dan wawancara. Analisis data dilakukan dengan tahapan reduksi, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa strategi Perpustakaan STIE AUB untuk mencegah dari kerusakan tersebut antara lain memperbaiki cover yang terlepas, perbaikan halaman yang robek, dan perbaikan label buku yang rusak. Masih ditemukan beberapa faktor yang mengakibatkan kegiatan pelestarian tidak berjalan dengan maksimal, yaitu kurangnya pustakawan ahli preservasi, belum adanya kesadaran pemustaka menjaga kondisi fisik bahan pustaka, tidak ada alokasi anggaran, serta belum ada ruangan, alat, dan bahan pendukung kegiatan preservasi bahan pustaka tercetak. Walaupun terdapat hambatan, perpustakaan dapat memaksimalkan alat dan bahan minimum yang dimiliki perpustakaan untuk preservasi bahan pustaka tercetak secara maksimal. Strategi ini dapat digunakan untuk perpustakaan dengan keadaan yang serupa.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".