Manajemen Strategi dalam Meningkatkan Efektivitas Pengelolaan Perguruan Tinggi
Bibliographic record
Abstract
This study aims to determine the Strategic Management of Higher Education in Increasing the Effectiveness of PTKIS management in Jambi Province, to reveal the strategies carried out by PTKIS managers and to formulate, implement and evaluate strategies in increasing the effectiveness of PTKIS in Jambi Province. The results showed that the strategic planning of PTKIS in Jambi Province in increasing effectiveness was constrained by several factors as follows: Manager's lack of understanding in implementing strategic management, communication between managers and subordinates is not aligned, strategic goals are not aligned with the actions taken, ideas and innovations are not supported by plans precise, and passive management, as well as manager motivation that only targets personal gain rather than common goals. To overcome the above problems, universities should implement the following actions: be close to stakeholders to understand needs, give autonomy to employees so that they foster an entrepreneurial spirit, managers are actively involved and employees know what the organization wants and have a flexible and simple organizational structure.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".