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Record W3097872743 · doi:10.29303/jaa.v5i1.90

CASA, NIM, dan Profitabilitas Perbankan di Indonesia

2020· article· en· W3097872743 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Aplikasi Akuntansi · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsProfitability indexBusinessBusiness administrationFinance

Abstract

fetched live from OpenAlex

ABSTRACT
 This study aims to increase the role of CASA and NIM in improving the profitability of banks in Indonesia. This research was motivated by various CASA improvement strategies undertaken by banks to maximize profits, as well as OJK policies to support NIM to improve the efficiency and competitiveness of Indonesian banks. On the other hand, this research is also supported by the limited research that analyzes the relationship of CASA with banking profitability. The hypothesis in this study discusses using multiple linear regression. BEI in 2016-2018, this study proves that CASA and NIM are proven to increase bank profitability. These results prove that the proportion of CASA owned by banks can reduce the cost of funds resulting in increased profitability. This study also proves the ability of banks to generate profits from interest can support increased bank profitability. Additional analysis shows that CASA can increase NIM. Furthermore, NIM has also been proven to mediate CASA's relationship with banking profitability.
 Keywords: CASA, NIM, profitability, banking
 ABSTRAK
 Penelitian ini bertujuan untuk mengidentifikasi peran CASA dan NIM pada peningkatan profitabilitas perbankan di Indonesia. Penelitian ini dimotivasi oleh berbagai strategi peningkatan CASA yang dilakukan perbankan untuk memaksimalkan profit, serta kebijakan OJK untuk menekan NIM guna meningkatkan efisiensi dan daya saing perbankan Indonesia. Di sisi lain, penelitian ini juga didorong oleh masih terbatasnya penelitian yang menganalisis hubungan CASA dengan profitabilitas perbankan. Hipotesis dalam penelitian ini diuji dengan menggunakan regresi linier berganda. Dengan melakukan pengamatan pada perbankan yang menerbitkan sahamnya di BEI pada tahun 2016-2018, penelitian ini menunjukkan bahwa CASA dan NIM terbukti meningkatkan profitabilitas perbankan. Hasil ini membuktikan bahwa proporsi CASA yang dimiliki perbankan dapat menurunkan biaya dana sehingga terjadi kenaikan profitabilitas. Penelitian ini juga membuktikan bahwa kemampuan perbankan dalam menghasilkan laba dari bunga dapat mendorong kenaikan profitabilitas perbankan. Analisis tambahan menunjukkan bahwa CASA dapat meningkatkan NIM. Selanjutnya, NIM juga terbukti memediasi hubungan CASA dengan profitabilitas perbankan.
 Kata kunci: CASA, NIM, profitabilitas, perbankan

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)0.000
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 score0.456
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.030
GPT teacher head0.286
Teacher spread0.256 · 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