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Record W2894767217 · doi:10.31937/akuntansi.v6i2.187

Analisis Faktor-Faktor Yang Mempengaruhi Perilaku Wajib Pajak Terhadap Penggunaan E-Filing

2014· article· en· W2894767217 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

VenueUltimaccounting Jurnal Ilmu Akuntansi · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsTaxpayerPsychologyUsabilityResearch ObjectSocial psychologyApplied psychologyBusinessPolitical scienceComputer scienceBusiness administrationLaw

Abstract

fetched live from OpenAlex

The purpose of this research is to analyze the influence of perceived usefulness, perceived ease of use, security and privacy to the use of e-Filing. The object of this research is the individual taxpayer who uses e-Filing and registered in the Tax Office (KPP) Pratama Kosambi.. This research used primary data in the form of questionnaires were 117 pieces. The method used in this research is the causal study and the sampling technique that used is convenience sampling. The method that used is multiple regression analysis. The results of this study indicate that: (1) perceived usefulness has influence on the use of e-Filing, (2) perceived ease of use has influence on the use of e-Filing, (3) the security and privac has influence on the use of e-Filing, (4) perceived usefulness, perceived ease of use, security and privacy have influence simultaneously on the use of e-Filing. Keywords: perceived usefulness, perceived ease of use, security and privacy, the use of Filing

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0020.002
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 head0.016
GPT teacher head0.276
Teacher spread0.260 · 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