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Record W3170216958 · doi:10.24269/mjse.v1i1.3851

Analisa Dampak Kebijakan Pemerintah Terhadap Kinerja Keuangan Bank Umum Syariah di Indonesia Pada Era Pandemi Corona Virus Disease-19

2021· article· en· W3170216958 on OpenAlex

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

VenueMusyarakah Journal of Sharia Economic (MJSE) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsIslamQuarter (Canadian coin)Government (linguistics)BusinessSample (material)Financial systemDescriptive researchPopulationCoronavirus disease 2019 (COVID-19)Islamic bankingFinanceAccountingDiseaseMedicineGeographySociology

Abstract

fetched live from OpenAlex

The purpose of this study is to analyze the impact of government policies on financial performance at Islamic Commercial Banks in Indonesia during the period January to September 2020. The sample used in this study is Islamic Commercial Banks that have been registered in Indonesia with a research population of a number of 5 Sharia Bank. The author uses descriptive quantitative research methods with the variable Financing Deposit Ratio (FDR), Non-Performing Financing (NPF) during the COVID-19 pandemic. The results showed that the financing deposit ratio in Islamic commercial banks in the first and second quarters had an average increase, meaning that financial health declined along with government policy from implementing PSBB to New Normal. Meanwhile, in the third quarter it has experienced a decrease of close to 75% so that it can be concluded that financial health is more stable. The results show that non-performing financing at Islamic commercial banks tends to be more stable, so it can be said that Islamic Commercial Banks in the COVID-19 pandemic era tend to be healthy.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.292
Teacher spread0.262 · 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