PENGARUH QUARTER LIFE CRISIS TERHADAP TURNOVER INTENTION PADA PERAWAT RUMAH SAKIT X
Bibliographic record
Abstract
Berdasarkan data turnover perawat rumah sakit X pada tahun 2021 sebesar 4%, 2022 hingga 5% dan pada tahun 2023 pada bulan Januari hingga Oktober sejumlah 3% dengan rentang usia ≤ 30. Pada rentang usia ≤ 30 umumnya individu memasuki masa emerging adulthood atau masa dewasa awal yang rentan mengalami quarter life crisis. Sehingga perlu ditinjau kembali mengenai faktor-faktor yang menyebabkan perawat usia ≤ 30 di rumah sakit X melakukan pengunduran diri. Adapun tujuan dari penelitian ini untuk mengetahui apakah ada pengaruh quarter life crisis terhadap turnover intention pada perawat dengan rentang usia 21-30 tahun di rumah sakit X. Pengambilan sampel menggunakan teknik purposive sampling. Alat ukur yang digunakan adalah skala quarter life crisis berdasarkan 7 dimensi quarter life crisis dan TIS-14 untuk mengukur tingkat turnover intention berdasarkan 3 aspek Mobley. Uji hipotesis penelitian ini menggunakan uji regresi linear sederhana dengan bantuan SPSS 27 for windows dengan nilai signifikasi sebesar 0,001 < 0,05 hasil penelitian menunjukkan adanya pengaruh quarter life crisis pada turnover intention. Sedangkan nilai R Square didapatkan sebesar 0,161 artinya sebesar 16,1% quarter life crisis memiliki pengaruh terhadap turnover intention.
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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 | 0.002 | 0.006 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".