PENGARUH INTENSITAS MENONTON FILM ANIMASI ADIT SOPO JARWO TERHADAP INTERAKSI SOSIAL ANAK SEKOLAH DASAR
Bibliographic record
Abstract
Televisi adalah salah satu media massa yang sangat populer dan memiliki kecenderungan memengaruhi dan memenuhi kebutuhan audiensnya, termasuk anak-anak. Salah satu acara televisi yang dikemas dengan baik untuk anak-anak adalah film animasi, yang berjudul Adit Sopo Jarwo. Tujuan dari penelitian ini adalah: (1) mendeskripsikan intensitas menonton film animasi Adit Sopo Jarwo dan interaksi sosial anak di SD Islam Al Azhar dan SD Cipayung Kota Depok, (2) menganalisis pengaruh intensitas menonton film animasi Adit Sopo Jarwo terhadap interaksi sosial anak di Sekolah Dasar Islam Al Azhar 46 Kota Depok dan Sekolah Dasar Cipayung KotaDepok, Jawa Barat. Jumlah responden dalam penelitian ini 75 responden. Penelitian dilakukan melalui pendekatan kuantitatif dengan desain penelitian survei. Rumus Slovin diterapkan untuk teknik pengambilan sampel dan uji regresi logistik ordinal untuk menganalisis data. Hasil penelitian menunjukkan: (1) deskripsi intensitas menonton Adit Sopo Jarwo dan interaksi sosial anak-anak di kedua sekolah memiliki nilai yang berbeda. Siswa di SD Cipayung memiliki intensitas menonton yang tinggi dibandingkan SD Islam Al Azhar. Interaksi sosial anak di kedua sekolah menunjukkan arah positif dengan membangun persatuan dan meningkatkan solidaritas di antara anggota kelompok. (2) intensitas menonton Adit Sopo Jarwo memengaruhi interaksi sosial anak.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.063 | 0.009 |
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".