Pengembangan Layanan Perpustakaan Daerah Kabupaten Semarang Berdasarkan Preferensi Masyarakat
Bibliographic record
Abstract
The Semarang Regency Regional Library has been supporting its users to increase their knowledge and knowledge informally. In order to continue to improve the reach and quality of its services, research needs to be carried out as a reference for developing Regional Library services so that they can be in line with the needs of users. This research aims to identify efforts that need to be made by the Semarang Regency Regional Library to develop its services based on the preferences of the library community as users of library services. This research was carried out using qualitative methods by extracting data from observations and surveys using purposive sampling by distributing open questionnaires to readers as respondents. The results of the research show that library services are very useful for respondents (60.0%), especially to increase knowledge (25.77%), reduce stress and mental pressure (22.70%), and help complete school or college assignments (21, 47%). The weakness of service at the Regional Library that was most felt by respondents was "the small number and variety of books" (42.37%). Locations for service development based on respondents' choice were Ambarawa (30.21%), West Ungaran (16.67%), Bandungan (13.54%), and Bawen (11.46%). The conclusion of this research is that the Semarang Regency Regional Library service must continue to be developed because it has provided benefits for readers which are realized through increasing the quantity and quality of books, digitizing collections, expanding and repairing buildings which is balanced with the addition of adequate indoor facilities as well as suggestions regarding further development locations. to pay attention to ease of accessibility for the community, especially ease of transportation access to the location.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".