Putra, Wicaksono Narindra (2019) Prediksi Financial Distress Pada Perusahaan Makanan dan Minuman di Bursa Efek Indonesia. Undergraduate thesis, STIE Perbanas Surabaya.
|
Text
ARTIKEL ILMIAH.pdf Download (1MB) | Preview |
|
|
Text
COVER.pdf Download (4MB) | Preview |
|
|
Text
BAB I.pdf Download (360kB) | Preview |
|
|
Text
BAB II.pdf Download (6MB) | Preview |
|
Text
BAB III.pdf Restricted to Registered users only Download (3MB) |
||
Text
BAB IV.pdf Restricted to Registered users only Download (12MB) |
||
|
Text
BABV.pdf Download (2MB) | Preview |
|
Text
LAMPIRAN.pdf Restricted to Registered users only Download (4MB) |
Abstract
This study aims to determine the accuracy of bankruptcy prediction models that exist in food and beverage companies listed on the Indonesia Stock Exchange in 2015-2017. This study uses three bankruptcy prediction models, the Springate, Zmijewski, and Grover models. The sample in this study used a purposive sampling method to obtain 19 companies. Data analysis techniques by calculating the level of accuracy and type of error of each model with the help of the Microsoft Excel program. The results showed that there were differences between the results of the analysis of the three bankruptcy prediction models used in this study. The accuracy rate for the Zmijewski model is 100%. While the Grover model is 93.75% with a type II error of 6.25%. Then there is the Springate method with an accuracy rate of 75% and a type II error of 25%. Among the three bankruptcy prediction models that have the highest level of accuracy is the Zmijewski model. Keywords: Financial Distress, Springate, Zmijewski, Grover
Item Type: | Thesis (Undergraduate) |
---|---|
Subjects: | 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 657 - ACCOUNTING > 657.042 - FINANCIAL ACCOUNTING |
Divisions: | Bachelor of Accountancy |
Depositing User: | WICAKSONO NARINDRA PUTRA |
Date Deposited: | 13 Nov 2019 08:00 |
Last Modified: | 13 Nov 2019 08:00 |
URI: | http://eprints.perbanas.ac.id/id/eprint/5046 |
Actions (login required)
View Item |