Bibliographic record
Abstract
Maryani Rini. 2108130126 “NILAI-NILAI AKHLAK DALAM NOVEL BILQIS KARYA WAHEEDA EL-HUMAYRA (Implikasi Pada Peserta Didik kelas XI SMK Miftahussalam)”. Dibawah bimbingan Dr. H. IKIN SYAMSUDIN A., M.Pd (Pembimbing I) dan H. JUJU JUANDI, Drs.,M.M. (Pembimbing II)Penelitian ini bertujuan untuk mengetahui Nilai-nilai akhlak pada novel Bilqis karya Waheeda El-Humayra. Desain yang digunakan yaitu kualitatif. Dengan menggunakan designs deskriftif analisis. Metode analisis ini digunakan untuk menelaah isi dari suatu dokumen. Dokumen yang dimaksud disin adalah Novel Bilqis karya Waheeda El-Humayra. Teknik pengumpulan data yang digunakan ialah teknik noninteraktif dengan melakukan pembacaan secara intensif dari novel, melakukan pencatatan secara aktif dengan metode content analysis. Berdasarkan hasil analisis data serta pembahasan yang telah disajikan dapat ditarik kesimpulan bahwa nilai-nilai akhlak diantaranya : akhlak kepada Allah SWT, akhlak kepada manusia, akhlak kepada lingkungan dapat diterapkan di sekolah MA/SMK.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.095 | 0.033 |
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".