Analisis Pengaruh Struktur Modal, Profitabilitas, dan Ukuran Perusahaan terhadap Tingkat Solvabilitas pada Perusahaan Sektor Asuransi Tahun 2020 – 2022 (Sub Sektor Asuransi Umum dan Asuransi Jiwa)
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menguji dan membuktikan pengaruh struktur modal, profitabilitas, dan ukuran perusahaan terhadap tingkat solvabilitas pada perusahaan asuransi periode pelaporan 2020-2022. Penelitian dilakukan dengan metode kuantitaf yang melibatkan 91 perusahaan yang terdaftar di Asosiasi Asuransi Jiwa Indonesia (AAJI) dan Asosiasi Asuransi Umum Indonesia (AAUI). Sampel dipilih dengan metode purposive sampling. Teknik pengolahan yang digunakan yaitu analisis regresi data panel yang diolah menggunakan Eviews 12. Berdasarkan uji F dan koefisien determinasi, model pada struktur modal, profitabilitas dan ukuran perusahaan terhadap tingkat solvabilitas perusahaan asuransi, merupakan model yang layak dengan tingkat kemampuan menjelaskan model sebesar 92,64%. Hasil studi ini menunjukkan bahwa secara parsial struktur modal berpengaruh signifikan terhadap tingkat solvabilitas, sementara profitabilitas dan ukuran perusahaan tidak berpengaruh signifikan terhadap tingkat solvabilitas.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".