Faktor-faktor determinan profesionalisme guru SMK bidang keahlian teknologi informasi dan komunikasi
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui pengaruh langsung dan tidak langsung kecerdasan emosional, kepuasan kerja dan komitmen guru, secara simultan dan parsial terhadap profesionalisme guru produktif SMK bidang keahlian TIK di kota Yogyakarta. Sampel penelitian berjumlah 66 dari 79 guru yang tersebar di 14 SMK di wilayah kota Yogyakarta. Teknik sampling menggunakan proportionate random sampling. Teknik pengumpulan data penelitian menggunakan angket tertutup. Teknik analisis menggunakan analisis jalur. Hasil penelitian menunjukkan bahwa secara parsial, kecerdasan emosional guru secara signifikan berpengaruh langsung terhadap profesionalisme guru produktif SMK bidang keahlian TIK di kota Yogyakarta, dengan kontribusi sebesar 0,701 (faktor determinan). Selanjutnya, tidak ada pengaruh langsung kepuasan kerja guru terhadap profesionalisme guru produktif SMK bidang keahlian TIK di kota Yogyakarta. Komitmen guru secara signifikan berpengaruh langsung terhadap profesionalisme guru produktif SMK bidang keahlian TIK di kota Yogyakarta, dengan kontribusi sebesar 0,224. Sementara itu, secara simultan kecerdasan emosional, kepuasan kerja dan komitmen guru secara signifikan berpengaruh terhadap profesionalisme guru produktif SMK bidang keahlian TIK di kota Yogyakarta, dengan kontribusi sebesar 57%. DETERMINANT FACTORS OF THE PROFESSIONALISM OF VOCATIONAL HIGH SCHOOL TEACHERS IN THE INFORMATION AND COMMUNICATION TECHNOLOGYAbstractThis study aims to determine direct and indirect effects of teachers’ emotional intelligence, job satisfaction and commitment, both simultaneously and partially, on the professionalism of Information and Communication Technology (ICT) productive teachers in the vocational high schools (VHSs) of Yogyakarta City. The research sample were 66 of 79 ICT productive teachers in 14 VHSs in Yogyakarta City. The sampling technique was proportionate random sampling. The data collecting techniques was a questionnaire. The data were analyzed using the path analysis technique. The results show that partially, teachers’ emotional intelligence significantly and directly affects the ICT productive teachers’ professionalism in VHSs of Yogyakarta City, with a contribution of 0,701 (determinant factor). Furthermore, teachers’ job satisfaction does not directly affect the ICT productive teachers’ professionalism in VHSs of Yogyakarta City. Significantly, teachers’ commitment directly affects the ICT productive teachers’ professionalism in VHSs of Yogyakarta City, with a contribution of 0,224. Meanwhile, simultaneously teachers’ emotional intelligence, job satisfaction and commitment significantly and directly affect the ICT productive teachers’ professionalism in VHSs of Yogyakarta City, with contributions by 57%.
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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 | 0.013 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 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".