Bibliographic record
Abstract
Perpustakaan SMA Al-Hidayah Way Seputih yang berperan sebagai pusat layanan informasi bagi sivitas akademika tidak dapat lepas dari pengaruh teknologi informasi (TI). Untuk memastikan kelangsungan pelayanan informasi maka dibutuhkan sistem keamanan, pengelolaan data, pengelolaan masalah, dan pengelolaan lingkungan fisik yang memadai baik dari segi hardware maupun software. Ketergantungan ini mengakibatkan TI menjadi titik yang paling rawan dalam memastikan kelangsungan pelayanan informasi di perpustakaan. Dalam memastikan sejauh mana dukungan TI terhadap proses bisnis perpustakaan maka perlu diketahui seberapa baikkah kualitas layanan TI. Untuk mengukur kualitas layanan TI di perpustakaan dibutuhkan suatu proses audit.Pada penelitian ini, dilakukan proses audit operasional untuk mengumpulkan data guna menunjang penilaian audit. Pedoman yang digunakan dalam mengukur aspek – aspek tingkat kedewasaan TI ialah COBIT 4.0 pada bagian delivery and support 4, 5, 10, 11, dan 12 yang terdiri dari pemastian kelangsungan layanan TI, pengelolaan sistem keamanan, pengelolaan masalah, pengelolaan data, dan pengelolaan lingkungan fisik di perpustakaan.Penelitian ini menghasilkan temuan dan nilai tingkat kematangan TI di perpustakaan. Proses audit membantu perpustakaan dalam mengevaluasi kinerja layanan TI dan memberi masukan untuk perbaikan.
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 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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.104 | 0.078 |
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".