Hubungan Alexithymia dengan Kecanduan Media Sosial pada Remaja di Jakarta Selatan
Bibliographic record
Abstract
ABSTRAK Alexithymia ditandai dengan ketidakmampuan dalam mengenali dan mengekpresikan emosi serta pemikiran yang berorientasi eksternal sehingga mereka memiliki hubungan interpersonal yang buruk. Remaja dengan alexithymia cenderung menjadi kecanduan media sosial.Penelitian ini bertujuan untuk mengetahui hubungan antara Alexithymia terhadap kecanduan media sosial pada remaja di Jakarta Selatan. Subjek penelitian adalah remaja yang berusia 13-19 tahun dan tinggal di Jakarta selatan. Pengambilan data menggunakan metode consecutive sampling dan snowball sampling dengan menyebar kuesioner menggunakan link googleform. Jumlah subjek penelitian sebanyak 207 orang (41 = laki-laki, 166 = perempuan). Skala yang digunakan adalah Toronto Alexithymia Scale (TAS-20) dan Social Media Disorder (SMD). Analisa data menggunakan metode chi-square pada SPSS 25. Hasil penelitian didapatkan 85 orang mengalami alexithymia, 88 mengalami kecanduan dan 62 orang mengalami alexithymia dan kecanduan media sosial. p-value didapatkan 0,000. Hal ini berarti terdapat hubungan antara Alexithymia dengan Kecanduan Media Sosial pada remaja di Jakarta Selatan. Kata Kunci :Alexithymia, Kecanduan Media Sosial, Remaja ABSTRACT Alexithymia is characterized by an inability to recognize and express emotions and have external oriented thoughts so that they have poor interpersonal relationships. Teenagers with alexithymial tend to become addicted to social media. This study aims to determine the relationship between Alexithymia towards social media addiction in adolescents in South Jakarta. The research subjects were adolescents aged 13-19 years and lived in south Jakarta. Retrieval of the data was using consecutive sampling and snowball sampling method by distributing questionnaires using the googleform link. The number of research subjects was 207 people (41 = men, 166 = women). The scale was used is the Toronto Alexithymia Scale (TAS-20) and Social Media Disorder (SMD). Data analysis using the chi-square method in SPSS 25. The results showed that 85 people had alexithymia, 88 were addicted and 62 people had alexithymia and were addicted to social media. p-value obtained is 0,000. This means that there is a relationship between Alexithymia and Social Media Addiction in adolescents in South Jakarta. Keyword : Adolescents, Alexithymia, Social Media Addiction
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 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".