Pengaruh Pendapatan Asli Daerah, Pajak Daerah, dan Retribusi Daerah terhadap Belanja Modal
Bibliographic record
Abstract
Penelitian ini merupakan jenis penelitian kuantitatif yang bertujuan untuk mengetahui pengaruh Pendapatan Asli Daerah, Pajak Daerah, dan Retribusi Daerah Kabupaten dan Kota Seluru Soloraya tahun 2017-2021. Jenis data yang digunakan dalam penelitian ini adalah data sekunder yang berasal dari Laporan Realisasi Anggaran Pendapatan dan Belanja Daerah dari 6 Kabupaten dan 1 Kota seluruh soloraya. Teknik pengambilan sampel pada penelitian ini menggunakan teknik sampling jenuh. Jumlah sampel pada penelitian ini berjumlah 35 sampel. Metode analisis data yang digunakan adalah uji asumsi klasik dan uji regresi linier berganda, uji F, uji t, uji R2. Hasil uji t menghasilkan nilai Signifikansi Pendapatan Asli Deaerah sebesar 0,453, Pajak Daerah 0,006, Retribusi Daerah 0,000. Hasil uji t menghasilkan nilai signifikan Pendapatan Asli Daerah lebih besar dari 0,05 maka Pendapatan Asli Daerah tidak berpengaruh signifikan terhadap Belanja Modal. Sedangkan Pajak Daerah, dan Retribusi Daerah memiliki nilai signifikansi kurang dari 0,05 yang berarti Pajak Daerah dan Retribusi Daerah berpengaruh signifikan terhadap Belanja Modal.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".