@thesis{thesis,
		author={RAMADHANI  RINA and Saputri  Nyimas Dewi Murnila and Yuliani  Yuliani},
		title ={ANALISIS METODE ALTMAN Z-SCORE, ZMIJEWSKI, DAN GROVER UNTUK MEMPREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN SEKTOR TRANSPORTASI DAN LOGISTIK TBK},
		year={2023},
		url={http://repository.unsri.ac.id/103240/},
		abstract={This study aims to determine differences in financial distress prediction results and the level of accuracy between the Altman Z-Score, Zmijewski, and Grover methods for transportation and logistics sector companies listed on the Indonesia Stock Exchange. The design of this research is a quantitative research with a descriptive quantitative research type. Using secondary data types and data collection techniques with documentation techniques. The observation period is four years, namely 2018 to 2021. The sampling technique used purposive sampling obtained 23 companies. Data analysis technique with Kruskal-Wallis. The research findings show that there are differences in predictions between the Altman Z-Score, Zmijewski and Grover. Among the three financial distress prediction methods, the Zmijewski method is the most accurate.}
		}