Audit Sistem Informasi Perpustakaan Sekolah Menggunakan Frame Work Cobit 5 Pada SMK Negeri 1 Sirapit
Bibliographic record
Abstract
Students, teachers, and school employees feel the impact of standardization at SMK in all related activities. The library information system must comply with the Standard Operating Procedures (SOP) established in SOP ISO 9001:2000. The current library information system has never been audited, and it is unclear whether it has helped achieve the school's vision and mission. An audit of the library information system at the Private High School (SMK) NEGERI 1 SIRAPIT is necessary to have a method to control and ensure that the library information system meets the organization's goals. Using the COBIT 5 framework and the Delivery, Service, and Support (DSS) domain, which includes DSS.1, DSS.5, DSS.11, DSS.12, and DSS.13, the library information system was audited. The research results show that one process, DSS02, has a capability level of 4, and five other processes, DSS01, DSS03, DSS04, and DSS05, each have a capability level of 4. While the overall capability level obtained based on the overall average is 3, this indicates that most tasks have been completed in the DSS domain for the library information system at SMK NEGERI 1 SIRAPIT However, there are standards established to carry out these processes, all of which are well documented and communicated. This study, which assesses the capability level of the Library Information System at SMK NEGERI 1 SIRAPIT, can contribute to the development of specific business processes if, in the future, there will be more customer services with various library service products. This can be done within the framework of the COBIT 5 audit.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.009 |
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".