Internalisasi Nilai-Nilai Islam Melalui Budaya Sekolah Dalam Membentuk Karakter Siswa di SMA 1 Negeri Asembagus Kabupaten Situbondo
Bibliographic record
Abstract
The development of the global era known as globalization, brings positive and negative impacts to human life. Controversial phenomena such as easy accessibility of information and entertainment with the rampant exposure to pornographic content, SARA content and so on that come simultaneously without control. In an effort to fortify oneself from the negative impacts of this globalization era, education is needed that provides reinforcement of Islamic values so that the attitudes (affects) and characters of Indonesian students are formed that are steady and strong in the future. This research is a qualitative research with the type of Case Study at SMAN 1 Asembagus Situbondo Regency. The results of this study are, the transformation of Islamic values into school culture in shaping student character is that teachers / schools provide information,knowledge by giving advice, reprimands and suggestions to students. Students listen / listen. Transactions of Islamic values and school culture in shaping student character are teachers / schools provide knowledge by means of habituation and continuous role models / examples to students, Teachers provide motivation in the form of awards and / gifts. Students respond / respond happily. The internalization of Islamic values through school culture in shaping student character involves teachers and schools becoming role models and role models for students. Students value their teachers' attitudes and personalities, thus voluntarily, sincerely, and consistently following their teachers' behavior (ta'dhim). Keyword: Nilai Islam, Karakter siswa, Budaya sekolah
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".