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Record W4309524638 · doi:10.36733/juara.v12i2.4774

Implementasi ISAK 16: Aset Keuangan Atau Aset Tak Berwujud?

2022· article· en· W4309524638 on OpenAlexaff
Sofiana Dewi, Made Dwi Cahaya Permana, Muhammad Iqbal, Amrie Firmansyah

Bibliographic record

VenueJurnal Riset Akuntansi (JUARA) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusinessAccountingInternshipService (business)Government (linguistics)Fixed assetFinanceBusiness administrationMarketingEconomicsProduction (economics)

Abstract

fetched live from OpenAlex

This study aims to review the implementation and disclosure of concession rights in the company's financial statements in 4 (four) business sectors. In addition, this study reviews the extent to which service concessions are recognized as intangible or financial assets. This study uses a qualitative method with a content analysis technique. The data used in this content analysis are journals, theses, and internship reports with ten works of literature. This study concluded that the application of service concession accounting had been carried out following the provisions of ISAK 16 (2014), starting from the recognition, measurement, disclosure, and impact of its application. The company can disclose assets using financial and intangible assets according to an agreement between the government as the grantor and the private sector as the operator.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.027
GPT teacher head0.312
Teacher spread0.285 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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