PERAN KETUA DEPARTEMEN DALAM MEMBENTUK KARAKTER KEPEMIMPINAN MAHASISWA MELALUI KEGIATAN HIMPUNAN MAHASISWA DEPARTEMEN (HMD)
Bibliographic record
Abstract
The purpose of this research is to know the role of Chairman of the Department in shaping the character of leadership on student through the Student Organization of Departement at Student Executive Board of Educational Administration Departement (BEM HMD Adpend) and Student Executive Board of Teacher Education for Early Childhood Education Departement (BE HIMA PG-PAUD) in Indonesia Education University.Research methods using descriptive method with descriptive qualitative approach.The discussion is done by triangulation data from interviews, documentation, and observations.This research resulted in several things: a) Profile of the student organization of BEM HMD ADPEND and BE HIMA PG-PAUD note that programs of both organizations are run properly with the realization of 100%; b) The role of the Chairman of Department in shaping the character of leadership on student is in terms of planning, participation, communication, delegation, and evaluation; c) How to shape the character of student leadership is throught activities in the work programme for a period of management.That also maximized by the chairman of the Departement throught the student conduct will supervision of verbal, nonverbal, partisipasif, persuasive, an motivation; and d) The character of leadership which was formed through the activity of students are intelligent, spirited, strong and tough, responsibility, honest and true, dare to take risks, and innovative.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.003 |
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".