Quality of Accounting Information Systems for Facing Industrial Revolution Is Influenced by Business Process and Organizational Commitment
Bibliographic record
Abstract
The purpose of the study was to determine the effect of Business Process (X1) on the Quality of Accounting Information Systems (Y) at the Bureau of Environment at Muhammadiyah University in Tangerang and find out the effect of Organizational Commitment (X2) on the Quality of Accounting Information Systems (Y) in Environment of Muhammadiyah University of Tangerang by carrying out questionnaires given to 64 respondents from all populations totaling 74 respondents and processing the results of the study using Smartpls software Version 2.0, M3 where it was found that Business Process (X1) affected the Quality of Accounting Information Systems (Y) in The Environmental Bureau of the University of Muhammadiyah Tangerang and Organizational Commitment (X2) influenced the Quality Accounting Information System (Y) at the Bureau at Muhammadiyah University, Tangerang, Banten Province.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".