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Record W4385787002 · doi:10.24252/jiap.v8i2.31342

PROFITABILITY ANALYSIS OF ISLAMIC REGIONAL DEVELOPMENT BANKS BEFORE AND DURING COVID-19

2022· article· en· W4385787002 on OpenAlexaboutno aff
Andi Syathir Sofyan, Bahrul Ulum Rusydi, Syaakir Sofyan

Bibliographic record

VenueJurnal Ilmiah Akuntansi Peradaban · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsProfitability indexCoronavirus disease 2019 (COVID-19)BusinessSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakIslamic bankingIslamQuarter (Canadian coin)FinanceFinancial systemEconometricsEconomicsMedicineInternal medicineGeographyVirology

Abstract

fetched live from OpenAlex

This study aims to determine the effect of financing to deposit (FDR), non performing financing (NPF), profit sharing financing (PSF), third party funds (DPK) and dummy covid on return of assets (ROA). This paper uses multiple linear regression method. Research observations are data for the quarter December 2018 to September 2021 at Islamic Regional Development Banks in Indonesia. The results showed that FDR, NPF, and the COVID dummy had a negative effect on profitability. Meanwhile, PSF and DPK have a positive influence on profitability. In addition, the Kruskal-Wallis test showed no difference in ROA, FDR, and NPF before and during Covid-19.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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 teacher head, not a consensus.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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