The Dynamics of Marriage Registration Implementation in the Multiethnic Muslim Community in Pekanbaru City, Riau
Bibliographic record
Abstract
This study analyzes the dynamics of marriage registration implementation in Pekanbaru City through a juridical-sociological approach. The main focus of the research is to examine the implementation of marriage registration regulations, identify inhibiting factors, and formulate an effective model of approach. The findings reveal that the ambivalence of Article 2 of Law No. 1 of 1974 on Marriage creates legal uncertainty, where society tends to perceive marriage registration merely as an administrative formality rather than as a requirement for the legal validity of marriage in the eyes of the state. The study further reveals the significant impact of unregistered marriages, particularly on the legal protection of women and children. Empirical data show that 45% of divorce cases cannot be formally processed due to the absence of a marriage certificate, while 35% of children from unregistered marriages face difficulties obtaining complete birth certificates. At the implementation level, there is a notable geographical disparity, with the highest compliance rate in Pekanbaru Kota (85%) and the lowest in Rumbai Pesisir (68%). The main inhibiting factors include regulatory, socio-cultural, economic, bureaucratic, and infrastructural aspects. The complexity of procedures, limited digital infrastructure (only 45% of Religious Affairs Offices possess adequate facilities for the SIMKAH system), and weak coordination between Religious Affairs Offices and the Civil Registry Office (with data integration only at 65%) further exacerbate the situation. This study recommends a holistic approach encompassing regulatory reform, infrastructure equalization, bureaucratic simplification, and intensive public outreach through multi-stakeholder collaboration to enhance the effectiveness of marriage registration in Pekanbaru City.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".