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Record W4379536099 · doi:10.31959/jm.v12i1.1360

ANALISIS KINERJA KEUANGAN BANK RAKYAT INDONESIA SEBELUM DAN SELAMA MASA PANDEMI COVID – 19 : STUDI KOMPARATIF

2023· article· en· W4379536099 on OpenAlex
Achyat Budianto, A. Rozi, Ferri Saputra Tanjung, Marnas Marnas, Beid Fitrianova Andriani

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

VenueJURNAL MANEKSI · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Coronavirus disease 2019 (COVID-19)Sample (material)PandemicBusinessGeographyChemistryMedicineInternal medicineChromatography

Abstract

fetched live from OpenAlex

This study aims to examine the differences in the financial performance of PT Bank Rakyat Indonesia before and during the COVID-19 pandemic. This test uses a quantitative approach, and the data samples used from the third quarter of 2017 to the second quarter of 2022 are 20 samples. Bank Rakyat Indonesia, as the research object, has the most customers among other banks. Testing was carried out using the paired sample t-test method. The results of the study show differences in financial performance before and during the COVID-19 pandemic in the ratios of NPL, ROA, ROE, and LDR, but there is no difference in financial performance before or during the COVID-19 pandemic in the BOPO ratio

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score0.922

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.056
GPT teacher head0.354
Teacher spread0.298 · 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