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Record W7024839522

Turnitin Artikel Analisis perbandingan kinerja Keuangan BNI Syariah dan Bank Mandiri Syariah di Masa Pandemi Covid 19

2020· other· en· W7024839522 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repository of IAIN Tulungagung (IAIN Tulungagung) · 2020
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsArrearsDebtorFinancial ratioQuarter (Canadian coin)Bank creditBanking industry
DOInot available

Abstract

fetched live from OpenAlex

Financial performance as a measurement to determine the process of implementing financial resources owned by the company. Covid-19 pandemic has an impact on the banking sector, resulting in non-performing financing due to debtor arrears as a result of many people losing their jobs and difficulties in paying credit. This study has the objective of analyzing the comparative financial performance between Mandiri Shariah Bank and BNI Shariah Bank during the Covid-19 pandemic, using quarterly financial statements 1, 2, 3 and 4 for 2019 and quarter 1 for 2020 and through Independent testing T-Test sample. There are financial performance differences between BNI Shariah Bank and Mandiri Shariah Bank from ROA, NPF and BOPO aspects, whereas in terms of CAR and ROE aspects show significantly there are no differences performances between BNI Shariah Bank dan Mandiri Shariah Bank. This paper recommends that BNI Syariah pay attention to the ROE and NPF ratio, while to Bank Syariah Mandiri to pay attention to the CAR, ROA and BOPO ratios.
\nKata Kunci: Financial Performance, Bank Syariah, 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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0040.003
Science and technology studies0.0030.005
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.267
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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