PENYELESAIAN SENGKETA KEPAILITAN TERHADAP PEMBIAYAAN MURABAHAH BANK SYARIAH DI INDONESIA
Bibliographic record
Abstract
Indonesia sebagai negara yang mayoritas beragama islam mulai memilih alternatif kegiatan perbankan sesuai dengan Al-Quran dan Sunnah dengan tanpa menggunakan riba yakni perbankan syariah. Salah satu produk perbankan yang banyak dipilih adalah pembiayaan murabahah. Namun Indonesia belum memiliki pengaturan norma terkait kepailitan dalam pembiayaan murabahah yang mengakibatkan masih bercampurnya aturan pada kepilitan konvensional dan kepailitan sesuai dengan prinsip syariah. Terlebih terkait dengan penyelesaian sengketa kepailitan pada pembiayaan murabahah dengan adanya Putusan MK No. 93/PUU—X-2012 yang mereduksi Pasal 55 ayat (2) UU Pebankan Syariah.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".