Pengaruh penggunaan artificial intelligence terhadap kualitas audit
Penerbit : FEB - Usakti
Kota Terbit : Jakarta
Tahun Terbit : 2025
Pembimbing 1 : Sofie
Kata Kunci : Artificial Intelligence, Audit Quality, Perceived Usefulness, Perceived Ease of Use, Social Influenc
Status Posting : Published
Status : Lengkap
No. | Nama File | Hal. | Link |
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1. | 2025_SK_SAK_023002106001_Halaman-Judul.pdf | ||
2. | 2025_SK_SAK_023002106001_Surat-Pernyataan-Revisi-Terakhir.pdf | 1 | |
3. | 2025_SK_SAK_023002106001_Surat-Hasil-Similaritas.pdf | 2 | |
4. | 2025_SK_SAK_023002106001_Halaman-Pernyataan-Persetujuan-Publikasi-Tugas-Akhir-untuk-Kepentingan-Akademis.pdf | 1 | |
5. | 2025_SK_SAK_023002106001_Lembar-Pengesahan.pdf | 4 | |
6. | 2025_SK_SAK_023002106001_Pernyataan-Orisinalitas.pdf | 1 | |
7. | 2025_SK_SAK_023002106001_Formulir-Persetujuan-Publikasi-Karya-Ilmiah.pdf | 1 | |
8. | 2025_SK_SAK_023002106001_Bab-1.pdf | ||
9. | 2025_SK_SAK_023002106001_Bab-2.pdf |
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10. | 2025_SK_SAK_023002106001_Bab-3.pdf |
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11. | 2025_SK_SAK_023002106001_Bab-4.pdf |
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12. | 2025_SK_SAK_023002106001_Bab-5.pdf | ||
13. | 2025_SK_SAK_023002106001_Daftar-Pustaka.pdf | ||
14. | 2025_SK_SAK_023002106001_Lampiran.pdf |
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P Penelitian ini bertujuan untuk menguji pengaruh perceived usefulness, perceived ease of use, social influence, dan facilitating conditions dari penerapan artificial intelligence (ai) terhadap audit quality. studi ini menggunakan pendekatan kuantitatif dengan data primer yang dikumpulkan melalui kuesioner online kepada auditor eksternal di wilayah dki jakarta. teknik sampling yang digunakan adalah purposive sampling, dan data dianalisis menggunakan regresi linear berganda dengan bantuan spss versi 26. hasil penelitian menunjukkan bahwa seluruh variabel independen berpengaruh positif terhadap audit quality. temuan ini memperkuat pentingnya kesiapan teknologi dan lingkungan sosial dalam mendukung adopsi ai untuk meningkatkan efektivitas dan efisiensi proses audit.
T This study aims to examine the influence of perceived usefulness, perceived ease of use, social influence, and facilitating conditions of artificial intelligence (ai) adoption on audit quality. a quantitative approach was employed, using primary data collected through online questionnaires distributed to external auditors in the jakarta region. the sampling technique used was purposive sampling, and the data were analyzed using multiple linear regression with spss version 26. the results show that all independent variables have a significant positive effect on audit quality. these findings highlight the importance of technological readiness and social support in driving ai adoption to enhance the effectiveness and efficiency of audit processes.