Analisis Nilai Religius Sastra Novel 99 Cahaya di Langit Eropa Karya Rangga Almahendra dan Hanum Salsabiela Rais Kajian: Nilai Religius Hubungan Manusia dengan Tuhan
Bibliographic record
Abstract
Literary work as a medium for the soul of an author who feels he has a duty to contribute as a messenger of moral or religious messages and human life on earth. An author is considered successful if he is able to convey moral and religious messages and life through the literary works he writes, so that the reader does not feel that he is being lectured or lectured, but without realizing the moral message in literary works. Religion refers more to the system of worship of God in terms of official, laws, ordinances, statutes, etc., as well as the organization of the overall interpretation of the Bible, which includes social levels. Express devotion to God, close your eyes, focus, surrender and prepare to listen to the Holy Word silently. Humans were created to worship Allah SWT by carrying out His commands and staying away from all His prohibitions. Human closeness to Allah SWT takes various forms, depending on each individual. However, humans created by Allah SWT are guided by the holy book of the Qur'an and adhere to the teachings of Islam. This research is a qualitative study of literature and activities carried out by collecting and analyzing research data from the novel 99 Lights in the Sky of Europe by Rangga Almahendra and Hanum Salsabiela Rais. In this study, the researcher first read in detail the novel 99 Lights in the Sky Europe by Rangga Almahendra and Hanum Salsabiela Rais. divine value approach. Found research results seen from. (1) looking for divine values related to humans and faith, (2) looking for divine values related to humans and worship, (3) seeking grateful values related to God with humans and (4) looking for patient values related to God with humans.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".