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Pengaruh Modal Intelektual Dan Implementasi Prinsip-Prinsip Syariah Terhadap Kinerja Keuangan Bank Umum Syariah Di Indonesia

2022· article· id· W4378698339 on OpenAlexfundno aff
Tria Oktavia, Bambang Agus Pramuka, Wahyudin Wahyudin, Permata Ulfah

Bibliographic record

VenueIndonesian Journal of Islamic Business and Economics · 2022
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
FundersUniversitas BrawijayaMcMaster University
KeywordsBusinessBusiness administration

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui pengaruh Modal Intelektual, Pendapatan Islami, Pembiayaan Bagi Hasil, dan Zakat Terhadap Kinerja Keuangan Bank Umum Syariah di Indonesia. Populasi dalam penelitian ini adalah seluruh Bank Umum Syariah di Indonesia yang terdaftar di Otoritas Jasa Keuangan (OJK) tahun 2012 sampai dengan tahun 2016 yang secara keseluruhan berjumlah 13 bank. Bank yang dijadikan sampel dalam penelitian ini diambil dengan menggunakan metode purposive sampling. Berdasarkan metode tersebut, didapatkan jumlah bank yang memenuhi kriteria pemilihan sebanyak 7 bank. Data dianalisis dengan teknik analisis regresi linear berganda. Hasil penelitian ini menunjukkan bahwa: (1) Modal Intelektual berpanguh positif terhadap kinerja keuangan Bank Umum Syariah di Indonesia; (2) Pendapatan Islami tidak berpengaruh signifikan terhadap kinerja keuangan Bank Umum Syariah di Indonesia; (3) Pembiayaan Bagi Hasil tidak berpengaruh signifikan terhadap kinerja keuangan Bank Umum Syariah di Indonesia; (4) Zakat berpengaruh positif terhadap kinerja keuangan Bank Umum Syariah di Indonesia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0300.004

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.

Opus teacher head0.013
GPT teacher head0.203
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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