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Record W4413343552 · doi:10.29313/bcsps.v5i2.18999

Pengaruh Strategi Koping terhadap Quarter Life Crisis pada Mahasiswa di Kota Bandung

2025· article· en· W4413343552 on OpenAlexaboutno aff
Tania Pebrianti, Dewi Rosiana

Bibliographic record

VenueBandung Conference Series Psychology Science · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Business administrationPolitical scienceBusinessGeography

Abstract

fetched live from OpenAlex

Abstract. Quarter life crisis (QLC) is a psychological phenomenon commonly experienced by individuals aged 20–30, marked by confusion about life direction, social pressure, and uncertainty about the future. This condition may hinder developmental tasks and readiness for post-college life. This study aimed to determine the level of QLC and examine the influence of coping strategies on QLC among final-year university students. A quantitative approach with a causal design was used, supported by informal interviews. The participants were 410 final-year students from top-accredited universities in Bandung, selected through convenience sampling. Data were collected using the Quarter Life Crisis Scale and the Brief COPE Inventory, and analyzed using non-linear regression. The results showed that most students were at a moderate level of QLC. The dominant coping strategy used was emotion-focused coping. Regression results indicated a significant influence of coping strategies on QLC (p < 0.05), accounting for 5.8% of the variance. Interview data supported this finding, showing that students often stabilize their emotions before addressing problems directly. The study concludes that while coping strategies play a role in reducing QLC intensity, other psychological factors also contribute. Preventive psychological interventions are recommended to help students manage the pressures of early adulthood. Abstrak. Quarter life crisis (QLC) merupakan fase krisis psikologis yang umumnya dialami oleh individu usia 20–30 tahun, ditandai oleh kebingungan arah hidup, tekanan sosial, serta ketidakpastian masa depan. Fenomena ini menjadi urgensi tersendiri karena dapat menghambat pencapaian tugas perkembangan dan kesiapan menghadapi dunia pascakampus. Tujuan dari penelitian ini adalah untuk mengetahui tingkat QLC serta menganalisis pengaruh strategi koping terhadap QLC pada mahasiswa. Penelitian ini menggunakan pendekatan kuantitatif dengan desain kausalitas. Subjek penelitian berjumlah 410 mahasiswa tingkat akhir dari perguruan tinggi berakreditasi unggul yang dipilih menggunakan teknik convenience sampling. Instrumen yang digunakan adalah Quarter Life Crisis Scale dan Brief COPE Inventory. Pengumpulan data dilakukan melalui penyebaran kuesioner daring. Data dianalisis menggunakan uji regresi non-linear. Hasil penelitian menunjukkan bahwa mayoritas mahasiswa berada pada kategori QLC sedang. Strategi koping yang paling dominan digunakan adalah emotion-focused coping. Hasil uji menunjukkan bahwa strategi koping berpengaruh signifikan 5,8%. Temuan ini diperkuat oleh wawancara yang menunjukkan bahwa mahasiswa cenderung menstabilkan emosi terlebih dahulu sebelum menyelesaikan masalah secara langsung. Kesimpulan dari penelitian ini adalah bahwa strategi koping berperan dalam mengurangi intensitas QLC, namun bukan satu-satunya faktor yang memengaruhinya. Oleh karena itu, disarankan adanya intervensi psikologis preventif untuk membantu mahasiswa dalam menghadapi tekanan perkembangan di fase dewasa awal.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.042
GPT teacher head0.374
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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