Analisis Prediksi Manipulasi Laporan Keuangan dan Financial Distress Menggunakan Model Dechow F-Score dan Altman Z-Score pada Perusahaan Manufaktur Yang Terdaftar di Bursa Efek Indonesia Periode 2023-2025

Authors

  • Astri Dwi Suranti Universitas Bumigora
  • Dewa Ayu Oki Astarini Universitas Bumigora
  • Layali Ihyani Universitas Bumigora

DOI:

https://doi.org/10.61231/9w4a7482

Keywords:

Financial Distress, Financial Statement Manipulation, Altman Z-Score, Dechow F-Score.

Abstract

This study aims to predict indications of financial distress using the Altman Z-Score model, predict indications of financial statement manipulation using the Dechow F-Score model, and analyze the relationship between these two indications in manufacturing companies listed on the Indonesia Stock Exchange during the 2023–2025 period. This study employs a descriptive quantitative approach using secondary data in the form of annual financial statements. The sample was selected using purposive sampling, comprising 92 companies and a total of 276 observations. The analysis was conducted through financial ratio calculations, the Altman Z-Score model, the Dechow F-Score model, and descriptive statistics. The results indicate that the financial distress and grey zone categories were more dominant than the safe zone category throughout the observation period. Based on the Dechow F-Score, indications of financial statement manipulation were identified in 4.30%–6.45% of observations each year. The analysis of the relationship between the two indications shows that only a small proportion of observations simultaneously exhibited indications of financial distress and financial statement manipulation.

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Published

2026-11-10

How to Cite

Analisis Prediksi Manipulasi Laporan Keuangan dan Financial Distress Menggunakan Model Dechow F-Score dan Altman Z-Score pada Perusahaan Manufaktur Yang Terdaftar di Bursa Efek Indonesia Periode 2023-2025. (2026). Jurnal Penelitian Dan Pengabdian Masyarakat , 4(4), 3022–3032 . https://doi.org/10.61231/9w4a7482

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