Skripsi
PENGARUH ARTIFICIAL INTELLIGENCE TERHADAP INDIKASI MANIPULASI LABA PADA PERUSAHAAN TEKNOLOGI DI BURSA EFEK INDONESIA PERIODE 2020-2025 (DALAM PERSPEKTIF FRAUD DIAMOND THEORY)
This study aims to examine the effect of Artificial Intelligence from the perspective of the Fraud Diamond Theory, comprising pressure, opportunity, rationalization, capability, and technical opacity on indications of earnings manipulation in technology companies listed on the Indonesia Stock Exchange during the 2020–2025 period. The research sample was determined using a purposive sampling method. Indications of earnings manipulation were measured using the Beneish M-Score. Data analysis was conducted using panel data regression with E-Views 13 software. The results indicate that pressure, opportunity, and technical opacity have a positive and significant effect on indications of earnings manipulation, whereas rationalization and capability show no significant effect. Simultaneously, all variables collectively influence indications of earnings manipulation, as technological complexity increases the risk of financial statement manipulation.