BINARY LOGIT: PREDIKSI GEJALA KEBANGKRUTAN PERUSAHAAN

Siti Aisyah Nasution; Melinda Siregar

doi:10.31955/mea.v4i3.644

Siti Aisyah Nasution Universitas Prima Indonesia, Medan
Melinda Siregar Universitas Prima Indonesia, Medan

DOI: https://doi.org/10.31955/mea.v4i3.644

Abstract

he property and real estate sector has in recent years become one of the topics in economic growth. However, it has not shown encouraging development, even though property is a form of long-term investment. The Indonesian Employers' Association (Apindo) estimates that the property sector in 2019 will still not fully recover, property developers who are members of Real Estate Indonesia (REI) have complained about the sluggishness of the property industry). Over the past 4 years, growth in this sector has been moving slowly and has also been suppressed by global challenges, ranging from interest rates to the high value of the United States dollar (US). Therefore, government support is needed to encourage the growth of the property industry. continued the trend of slowing growth in 2018 and people tend to have a lot of consideration in buying property. For this reason, this study aims to predict the symptoms of bankruptcy in property and real estate companies listed on the Indonesia Stock Exchange by using financial ratios. The factors tested in this study include Leverage Ratio, Cash Flow and Current Ratio. This type of research is a causal research which aims to analyze the effect of independent variables on the dependent variable. The population in this study were 22 property and real estate companies listed on the Indonesia Stock Exchange. The data collection technique used in this research is documentation study by collecting secondary data from property and real estate companies. This research uses logistic regression analysis. The output targeted in this research is an accredited national journal.

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