PENGARUH DUKUNGAN SOSIAL TERHADAP QUARTER LIFE CRISIS PADA MASA EMERGING ADULTHOOD DI PROVINSI DAERAH ISTIMEWA YOGYAKARTA
Bibliographic record
Abstract
Quarter life crisis merupakan salah satu tantangan normal yang dihadapi individu pada masa emerging adulthood, dan setiap orang diharapkan mampu melewatinya dengan baik. Namun, demikian tidak semua orang mampu melewati quarter life crisis dengan baik dan di sisi lain menunjukkan persepsi rendahnya dukungan sosial yang diterima oleh individu pada masa tersebut. Oleh karena itu penelitian ini bertujuan mengetahui pengaruh dukungan sosial terhadap quarter life crisis pada masa emerging adulthood di Provinsi Daerah Istimewa Yogyakarta. Penelitian ini menggunakan pendekatan kuantitatif dengan desain penelitian survei dan dilakukan di Provinsi Daerah Istimewa Yogyakarta melalui tautan Google Form yang disebarkan oleh peneliti. Sampel penelitian berjumlah 382 responden yang diperoleh dengan metode volunteer sampling dengan kriteria yang telah ditentukan oleh peneliti yaitu berusia 18-25 tahun dan berdomisili di Provinsi Daerah Istimewa Yogyakarta. Instrumen yang digunakan yaitu Skala Quarter Life Crisis versi Indonesia dengan koefisien reliabilitas α=0,940 dan Skala Dukungan Sosial dengan α=0,904. Teknik analisis data menggunakan regresi linear sederhana. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh dukungan sosial terhadap quarter life crisis pada masa emerging adulthood di Provinsi Daerah Istimewa Yogyakarta dengan nilai koefisien regresi = -0,285 dan nilai signifikansi 0.000 (p>0,05). Sumbangan efektif sebesar 0,035 atau 3.5% dan sisanya dipengaruhi oleh faktor lain. Kata kunci: quarter life crisis, dukungan sosial, emerging adulthood
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".