HUBUNGAN KEMATANGAN EMOSI DENGAN KUALITAS PERSAHABATAN PADA REMAJA AKHIR
Bibliographic record
Abstract
Kualitas persahabatan dipengaruhi oleh adanya faktor kematangan emosi dalam diri seseorang yang menentukan kualitas dari persahabatan. Penelitian ini bertujuan untuk mengetahui hubungan antara kematangan emosi dengan kualitas persahabatan pada remaja akhir. Subjek pada penelitian ini sebanyak 393 orang yang diambil menggunakan teknik Incidental sampling. Metode pengumpulan data menggunakan skala kematangan emosi Parveen (2015) dan kualitas persahabatan menggunakan McGill Friendship Questionnaire dari Mendelson \n(2012). Skala ini yang disusun berdasarkan skala likert yang dimodifikasi dalam bentuk empat alternatif jawaban. Hasil analisis korelasi product moment menunjukkan bahwa terdapat hubungan yang antara kematangan emosi dengan \nkualitas persahabatan pada remaja akhir dengan nilai koefisien korelasi r sebesar 0.245 dengan p sebesar 0.000 ( p < 0.01) dan hipotesis diterima. Sumbangsih \nefektif dari variabel kematangan emosi terhadap kualitas persahabatan memberikan pengaruh sebesar 6% artinya untuk dapat meningkatkan kualitas persahabatan dibutuhkan kematangan emosi.Kata Kunci: Kematangan Emosi, Kualitas Persahabatan,Remaja Akhir.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.005 |
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".