Pengembangan Sistem Lembaga Penelitian Dan Pengabdian Kepada Masyarakat Menggunakan Metode Prototipe
Bibliographic record
Abstract
Kegiatan penelitian dan pengabdian kepada masyarakat merupakan kegiatan yang penting dalam kehidupan kampus, disamping kegiatan pembelajaran. Penelitian dan pengabdian kepada masyarakat merupakan bagian dari Tri Dharma perguruan tinggi yang harus dilaksanakan oleh seluruh civitas academica. Oleh karena itu perguruan tinggi melalui Lembaga Penelitian dan Pengabdian kepada Masyarakat perlu mengelola dengan baik seluruh kegiatan penelitian dan pengabdian kepada masyarakat. Pengelolaan secara manual mengakibatkan ketidak efisienan kinerja baik bagi pengelola, dosen, mitra dan pihak lain yang terlibat. Pengembangan sistem lembaga penelitian dan pengabdian kepada masyarakat berbasis website diperlukan agar dapat meningkatkan efisiensi dan efektivitas kinerja seluruh stakeholder yang terlibat. Pengembangan sistem lembaga penelitian dan pengabdian kepada masyarakat menggunakan metode perancangan sistem Unified Modelling Language serta metode pengembangan sistem Prototipe. Penelitian ini menghasilkan model awal sistem lembaga penelitian dan pengabdian kepada masyarakat sesuai kebutuhan pengguna saat ini. Sistem lembaga penelitian dan pengabdian kepada masyarakat ini nantinya dapat dikembangkan sesuai perkembangan kebutuhan pengguna dan peraturan yang berlaku.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.022 |
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".