Pengembangan Sistem Lembaga Penelitian Dan Pengabdian Kepada Masyarakat Menggunakan Metode Prototipe
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it