Bibliographic record
Abstract
Abstract. The Contribution of Islamic Banking on the Banten Economy. The development of Islamic banking in Banten can be seen from the four aspects, such as amount of assets, DPK, financing and credit risks. Even indicates the good growth, but the performance of Islamic banking from the total banking in Banten region is still relatively small. Until the fourth quarter of 2013, the share of Islamic banking assets in Banten only reached 6.78 percent of total banking assets in the province of Banten. Likewise, the share of Islamic banking on third party funds amounted only 5.20 percent. While the financing extended by the Islamic banking in Banten province amounted only 7.61 percent of total bank credit in Banten Province. This research was conducted with a view to determine the contribution of Islamic banking to increase PDRB Banten Province. This research uses 60 samples, including monthly data from January 2009 until December 2013 consisted of PDRB Banten, DPK and financing Islamic banking in Banten. The data were analyzed using multiple linear regression with the help of software eviews. The results showed that the DPK data processing and financing not partial effect on PDRB increase in Banten. However DPK and financing jointly/ simultaneous effect on PDRB Banten. Figures determination coefficient of 53% shows the value of the contribution of Islamic banking and finance sector generally, to the economic progress of Banten. The remaining 47% was contributed by other sectors that are not included in this study. The high contribution of Islamic banking to Banten’s economy must be supported by the preparation of adequate infrastructure, especially concerned to improve the quality and quantity of human resources in the Islamic economics and finance area. Beside that, we must give the encouragement to the government of Banten in order to increase the proportion of decentralized funds placement in Islamic financial institutions.Abstrak. Kontribusi Perbankan Syariah Terhadap Perekonomian Banten. Perkembangan perbankan syariah di Banten dapat dilihat dari empat aspek, yaitu jumlah aset, DPK, pembiayaan dan resiko kredit. Meski terus menunjukkan perkembangan yang baik, namun kinerja perbankan syariah terhadap total perbankan di wilayah Banten masih relatif kecil. Sampai triwulan IV 2013, pangsa aset perbankan syariah di Banten baru mencapai 6,78 persen dari total aset perbankan di wilayah Provinsi Banten. Demikian juga dengan pangsa penghimpunan DPK perbankan syariah hanya sebesar 5,20 persen. Sementara itu pembiayaan yang disalurkan oleh perbankan syariah di Provinsi Banten hanya sebesar 7,61 persen dari total kredit perbankan di Provinsi Banten. Penelitian ini dilakukan dengan maksud untuk mengetahui kontribusi perbankan syariah terhadap peningkatan PDRB Provinsi Banten. Riset ini menggunakan 60 sampel, meliputi data bulanan sejak Januari 2009 sampai Desember 2013 terdiri dari PDRB Banten, DPK dan pembiayaan perbankan syariah di Banten. Teknik analisis data menggunakan regresi linier berganda dengan bantuan software eviews. Hasil pengolahan data menunjukkan bahwa DPK dan pembiayaan tidak berpengaruh secara parsial terhadap peningkatan PDRB Banten. Namun DPK dan pembiayaan secara bersama-sama/ simultan berpengaruh terhadap PDRB Banten. Angka koefisien determinasi sebesar 53% menunjukkan nilai kontribusi perbankan syariah, dan umumnya sektor keuangan, terhadap kemajuan perekonomian Banten. Sisanya 47% disumbangkan oleh sektor lain yang tidak dimasukkan dalam penelitian ini. Tingginya kontribusi perbankan syariah terhadap perekonomian Banten harus direspon dengan penyiapan infrastruktur yang memadai, terutama berkaitan dengan peningkatan kualitas dan kuantitas sumber daya manusia yang menguasai bidang ekonomi dan keuangan Islam. Diperlukan juga dorongan untuk Pemprov Banten agar meningkatkan proporsi penempatan dana desentralisasi di lembaga keuangan 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".