Open AccessAnalysis of Bunkruptcy Prediction With Altman Z-Score, Springate and Zmijewski Models Based Engineering Science (Case study at Garuda Indonesia Airline, Period Years of 2014-2017)
Author(s) -
et. al. Dailibas
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i4.1408
Subject(s) - stock exchange , indonesian , nonprobability sampling , population , sample (material) , computer science , business , finance , sociology , demography , linguistics , philosophy , chemistry , chromatography
The purpose of this reseach is to analysis and to make a bunkruptcy prediction of the Garuda Indonesia listed on Indonesian Stock Exchange,and to find out what the best model used in a bunkruptcy prediction of company. Reseach method based on purposive sampling.The population of this reseach is a numbers of company financial reporting listed on Indonesian Stock Exchange, and the sample obtained from period years of 2014 to 2017. The analysis of technical data used is descriptive analysis with a helping microsoft excel software . The reseach finding, that based on Altman Z-Score, and Springate prediction model based engineering science, Company have experienced a potency of bunkruptcy since 2014 till 2017. Meanwhile Zmijewski prediction model based engineering science company has experienced a potency of bunkruptcy in 2014 and 2017. whrereas in 2015 and 2016, company is classificated as a healthy company. Based on result of the third models analysis mentioned, Zmijewski model is a better in bunkruptcy prediction of company.