Hubungan Antara Regulasi Emosi Terhadap Quarter Life Crisis Pada Anggota Komunitas Airdrop Finder di Palembang
Bibliographic record
Abstract
Quarter Life Crisis adalah masa transisi yang dialami individu di awal masa dewasa, biasanya antara usia 18 dan 29 tahun. Fase ini ditandai dengan perasaan cemas tentang masa depan, kebingungan, dan tekanan sosial. Hal ini menunjukkan bahwa mahasiswa masih rentan terhadap stres psikologis akibat rendahnya regulasi emosi dan kurangnya dukungan sosial, yang dapat memicu krisis ketika menghadapi tantangan di awal masa dewasa.Penelitian ini bertujuan untuk mengetahui hubungan antara regulasi emosi terhadap quarter life crisis pada komunitas airdrop finder di Palembang. Hipotesis yang digunakan yakni adanya hubungan antara regulasi emosi terhadap quarter life crisis pada komunitas airdrop finder di Palembang. Populasi penelitian mencakup 150 anggota komunitas airdrop finder, dengan sampel penelitian terdiri dari 105 anggota komunitas tersebut. Pada penelitian ini menggunakan metode pengambilan sampel dengan karakteristik tertentu (purposive sampling). Instrumen pengukuran terdiri dari skala regulasi emosi dan skala quarter life crisis. Analisis data yang digunakan dalam penelitian ini yaitu teknik analisis regresi sederhana menggunakan aplikasi perangkat lunak SPSS. Hasil analisis data dengan SPSS menunjukan bahwa koefisien korelasi (R) sebesar 0,726, koefisien determinasi (R2) sebesar 0,685, dan nilai p = 0,000. Hasil analisis tersebut menunjukkan hubungan yang cukup signifikan antara regulasi emosi dengan quarter life crisis pada anggota komunitas airdrop finder di Palembang.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 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".