Penerapan Program Merdeka Belajar - Kampus Merdeka (Mbkm) Untuk Dosen Dan Mahasiswa Di STIE LMII Medan
Bibliographic record
Abstract
Program Merdeka Belajar Kampus Merdeka (MBKM) bertujuan untuk meningkatkan mutu pendidikan di Indonesia sehingga mendorong proses pembelajaran di Perguruan Tinggi yang semakin otonom dan fleksibel serta Menciptakan kultur belajar yang inovatif, tidak mengekang, dan sesuai dengan kebutuhan mahasiswa. Adapun program MKBM terdiri dari 8 (delapan) kegiatan : magang/praktek kerja, asistensi mengajar di satuan pendidikan, penelitian/riset, proyek kemanusiaan, kegiatan wirausaha, studi/proyek independen, membangun desa/kuliah kerja nyata tematik dan pertukaran pelajar. Yang terlibat dalam program MBKM di Perguruan Tinggi adalah mahasiswa/i, dosen, dan koordinator Perguruan Tinggi. Sekolah Tinggi Ilmu Ekonomi (STIE) LMII Medan dimasa pandemic covid-19 kurang aktif dalam mengikuti dikarenakan sebagian besar mahasiswa/i pulang ke daerah asalnya selama proses pembelajaran secara daring. Yayasan STIE LMII Medan mengikuti pelatihan program Merdeka Belajar Kampus Merdeka (MBKM) sehingga di angkatan program berikutnya dalam berperan serta dalam Program Merdeka Belajar Kampus Merdeka (MBKM).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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".