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Record W4312441470 · doi:10.35315/dakp.v10i2.8878

FAKTOR FAKTOR YANG MEMPENGARUHI TABUNGAN MUDHARABAH PADA BANK UMUM SYARIAH (BUS) DI INDONESIA TAHUN 2018 – 2019

2021· article· en· W4312441470 on OpenAlex
Nur Aini, Sri Isnowati, Agus Murdiyanto

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDinamika Akuntansi Keuangan dan Perbankan · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsnot available
FundersUniversitas Diponegoro
KeywordsMarket liquidityQuarter (Canadian coin)BusinessIslamic bankingCommercial bankProfit sharingPopulationFinancial systemEconomicsIslamFinanceGeography

Abstract

fetched live from OpenAlex

This study aims to examine and analyze the factors that affect the amount of easy-to-use savings savings. Thesefactors are the Profit Sharing Rate, Liquidity, Bank Size and Number of Bank Offices. The object of this research is all Islamic Commercial Banks (BUS) that report their Financial Statements to the Monetary Services Authority, with an observation period for the first quarter of 2018 to the fourth quarter of 2019. The sampling method uses the Census method, namely the entire available population is sampled and there are 14 Sharia Commercial Banks. Data analysis using multiple linear regression. The results of the study found that the Profit Sharing Rate has no effect, Liquidity has a significant negative effect, while the Bank Size and Number of Bank Offices have a significant positive effect on the Total Mudharabah Deposits.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.268
Teacher spread0.252 · 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