Hubungan Antara Dukungan Sosial Teman Sebaya Dan Religiusitas Dengan Quarter Life Crisis Pada Mahasiswa Akhir Ums
Bibliographic record
Abstract
This study aims to determine the relationship of peer social support and religiosity to quarter life crisis. The method used is a quantitative approach with a correlational design. The population of this study is the final student of Muhammadiyah Surakarta University with sampling techniques, namely purposive and accidental sampling, namely final students who are working on their thesis / final project. The sample that will be used in this study is 130 students. This study uses a peer social support scale, religiosity scale, and quarter life crisis scale. The data analysis used in this study is multiple linear regression with peer social support and religiosity as independent variables, and quarter life crisis as the dependent variable. The hypothesis in this study is that there is a relationship between peer social support and religiosity towards quarter life crisis. Data collection was distributed through google form media in the form of a research questionnaire. The data analysis was carried out using the multiple linear regression analysis model of the SPSS version 27 program. The results obtained are that there is a significant relationship between peer social support and religiosity with quarter life crisis as evidenced by the results of R = 0.459 and sig value. 0.000 < 0.05. The results of minor hypothesis testing 1 show a significant negative relationship between peer social support and quarter life crisis as evidenced by the results of r = -0.384 and sig value. (2-tailed) 0.000 <0.05. The results of the minor hypothesis test 2, which shows a significant negative relationship between religiosity and quarter life crisis, are evidenced by the results of r = -0.373 and sig. (2-tailed) 0.000 <0.05. This shows that the major and minor hypotheses in this study are accepted. The effective contribution in this study was 21.1% with peer social support of 10.9% and religiosity of 10.1% on the quarter life crisis variable, and the remaining 78.9% was influenced by other factors.
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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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".