Strategic Transformation of the Muhammadiyah Islamic Organisation through BPRS Matahari in Strengthening Sharia Financial Inclusion
Bibliographic record
Abstract
The growth of Islamic banking in Indonesia has not been able to fully reach grassroots communities and MSME players, causing dissatisfaction, including from the Muhammadiyah community. The gap between the principle of justice and the reality of commercialization of Islamic institutions has created a need for new solutions. This study aims to examine the establishment of BPRS Matahari as Muhammadiyah's strategic repositioning in strengthening community-based Islamic financial inclusion. Furthermore, using descriptive qualitative methods through analysis of organizational documents, OJK regulations, academic literature, and online media, this study reveals the role of BPRS Matahari as a form of economic da'wah (proselytizing) as well as an intermediary instrument that favors the people. The results show that BPRS Matahari not only fills the void in Islamic financial services but also symbolizes the integration of theological, social, and economic values in accordance with the maqasid syariah. The support of the Muhammadiyah Social Enterprise (AUM) network creates a closed-loop ecosystem that strengthens the legitimacy and sustainability of the institution. These findings have theoretical implications by integrating the Tawhid String Relationship theory and institutional theory, as well as practical contributions to the development of a community-based Islamic microfinance model. The novelty of this research lies in its emphasis on the role of religious organizations as strategic actors in building inclusive, equitable, and sustainable institutional transformation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".