PENGARUH LOCUS OF CONTROL DAN MOTIVASI INSTRINSIK TERHADAP KEPUASAN KERJA GURU
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui pengaruh locus of control (loc) dan motivasi intrinsic terhadap kepuaaan kerja guru. Dengan pendekatan penelitian kuantitatif. Pada 4 lokasi Madrasah Tsanawiyah di Kecamatan Klapanunggal, Kabupaten Bogor. Penelitian menggunakan metode survey dengan analisis jalur untuk menguji hipotesis. Terdapat 106 guru sebagai responden yang ditentukan secara acak sederhana. Hasil penelitian sebagai berikut: (1) Terdapat pengaruh langsung positif locus of control terhadap kepuasana kerja. (2) Terdapat pengaruh langsung positif antara motivasi instrinsik terhadap kepuasaan kerja, dan (3) Terdapat pengaruh langsung positif locus of control (loc) terhadap motivasi instrinsik.KATA KUNCI: locus of control (loc), motivasi intrinsic, kepuasan kerja, guru THE EFFECT OF LOCUS OF CONTROL AND INTRINSIC MOTIVATION ON JOB SATISFACTION TEACHERABSTRACTThe objective of this research was to understand the effect of locus of control (loc) and intrinsic motivation on job satisfaction teacher. It was a quantitative research in 4 schools located in the middle school at district Klapanunggal, Bogor regency. The research used a survey method with path analysis applied in testing hyphotesis. It was conducted to 106 teachers as the respondents which were selected in a simple random way. The result of this study are: (1). There is a positive direct effect of locus of control (loc) on job satisfaction. (2). There is a positive direct effect of intrinsic motivation on job satisfaction, and (3). There is a positive direct effect of locus of control (loc) on intrinsic motivation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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; 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".