Pengaruh Fear Of Missing Out (FOMO)Terhadap Quarter Life Crisis Pada Mahasiswa Bimbingan KonselingAngkatan 2021 FIP Universitas Negeri Medan T.A 2024/2025
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh Fear of Missing Out (FoMO) terhadap Quarter Life Crisis Pada Mahasiswa Bimbingan Konseling Angkatan 2021 FIP Universitas Negeri Medan Tahun Ajaran 2024/2025. Pada Penelitian ini menggunakan metode kuantitatif dengan pendekatan korelasional. Populasi dalam penelitian ini sebanyak 169 mahasiswa, sehingga diambil sampel sebanyak 120 pada mahasiswa Bimbingan Konseling Angkatan 2021 FIP Universitas Negeri Medan menggunakan teknik simple random sampling. Uji validitas instrumen menggunakan rumus pearson correlations, sedangkan uji reliabilitas menggunakan teknik cronbach alpha. Teknik analisis data menggunakan teknik analisis regresi linier sederhana. Hasil analisis regresi diperoleh persamaan Y = 41,007 + 0,495X. Hasil uji t menunjukkan bahwa fear of missing out (FoMO) berpengaruh signifikan terhadap quarter life crisis dengan nilai Nilai t = 4,788 dan sig (p) 0,000 0,05. Sedangkan hasil uji koefisien determinasi (r²) sebesar 0,163. Sehingga dapat disimpulkan bahwa Fear of Missing Out (FoMO) memberikan pengaruh signifikan terhadap Quarter Life Crisis sebesar 16%.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".