The Analysis of the Influence of Organizational Commitment and Learning Perception Towards Employees Performance (A Case Study of PT XYZ’S Employees That Participate in the Training at Padang Learning Unit)
Bibliographic record
Abstract
Since 2016, there has been a reduction trend in the amount of PT XYZ employees that participated in the training at Padang Udiklat, eventhough PT XYZ is one of the biggest State-owned Enteprise of Indonesia (BUMN). This reduction trend is directly in proportion with the performance value results of the operational unit in Padang Udiklat regional in the last four semesters added with the reduction trend of Organizational Commitment in accordance with the employees’ results of Engagement Survey held by The XYZ head office (Holding) in 2017. Based on these, this study aims to determine whether Organizational Commitment and employee’s Learning Perception are correlated with and affected Individual Performance. The subject of this study is the BUMN employees who participated in the Traning at Education and Training Unit (Udiklat) Padang in the third quarter of 2018. Although, the results showed that Perception Learning and Organizational Commitment are only capable of influencing Individual Performance as much as 32.3%. However, this study showed that both of these variables have a positive correlation and are significant towards PT XYZ employees performance. For further research, it is advised to conduct the research on a larger scope, namely, the employees of PT XYZ (Persero) nationwide and not only the employees of a certain region who participated the training in just one Training Unit. Keywords : Individual Performance ; Learning Perception ; Organizational Commitment
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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 | 0.004 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".