ANALISIS PREDIKSI KEBANGKRUTAN DENGAN MENGGUNAKAN MODEL ZMIJEWSKI, SPRINGATE DAN FULMER PADA PERUSAHAAN RITEL DI BURSA EFEK INDONESIA

KUSUMANINGTYAS, DEGA (2017) ANALISIS PREDIKSI KEBANGKRUTAN DENGAN MENGGUNAKAN MODEL ZMIJEWSKI, SPRINGATE DAN FULMER PADA PERUSAHAAN RITEL DI BURSA EFEK INDONESIA. Undergraduate thesis, STIE PERBANAS SURABAYA.

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Abstract

This study aims to determine the health status of retail companies listed in Indonesia Stock Exchange using the model of Zmijewski, Springate, and Fulmer. The financial statements are examined period 2011-2015. Mechanical determination of the sample used is purposive sampling technique in order to obtain as many as 17 retail companies listed on the Indonesia Stock Exchange. Data analysis technique used is descriptive analysis that led to their bankruptcy prediction models calculating Zmijewski, Springate, and Fulmer. The results showed that based on the model of Zmijewski, there were 13 companies (15.29%) of the total companies in the study period experienced unsanitary conditions, and there are five companies (29.41%) of the 17 companies each year has an unhealthy condition. Based on the model Springate there are 18 companies (22.35%) of the total companies in the study period experienced unsanitary conditions, and there are 7 companies (41.18%) of the 17 companies experienced an unhealthy condition. And based on the model Fulmer there are 7 companies (8.24%) of the total companies in the study period experienced unsanitary conditions, and there are three companies (17.65%) of the 17 companies experienced unsanitary conditions. Overall, the model Springate is a model that gives better prediction than most other models. Keywords: Bankruptcy Zmijewski, Springate, Fulmer, Retail.

Item Type: Thesis (Undergraduate)
Subjects: 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 657 - ACCOUNTING > 657.042 - FINANCIAL ACCOUNTING
Divisions: Bachelor of Accountancy
Depositing User: Perpustakaan Universitas Hayam Wuruk Perbanas Surabaya
Date Deposited: 19 Oct 2017 09:44
Last Modified: 19 Oct 2017 09:44
URI: http://eprints.perbanas.ac.id/id/eprint/2746

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