Shariah Assessment Toward the Prosecution of Cybercrime in Indonesia
Why this work is in the frame
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Bibliographic record
Abstract
This research aims to uncover how Islamic criminal acts towards social media crimes. This study also elaborates on how Islam assesses Indonesian criminal prosecution against social media crimes. The approach used is a juridical normative to assess the criminal law system in force in Indonesia with the Islamic criminal perspective as grand theory. The results found that crime through social media was adapted with the crime in Islamic law namely Hudūd, qisas diyat and tazir. This research also found that the Indonesian legal system provides legal rewards for perpetrators of crimes through social media charged with the Information and Electronic Transactions (ITE) Law still needs to be expanded. Crimes through social media most often threatened by the ITE Law are insults to the government or symbols of the state, threatening and defamation of others, insults to others and violating SARA (ethnicity, religion, race and intergroup). Cybercrimes related to adultery, alcoholism and terrorism must be considered because they are a serious threat. Prison penalties and fines that are most often sentenced to perpetrators of social media crimes include part of criminal tazir which is following Islamic criminal law.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it