Shafira, Nuriya Deasy (2022) Analisis Prediksi Kebangkrutan Dengan menggunakan Metode Altman Z-Score, Springate, Dan Zmijewski Pada Perusahaan Sektor Pertanian Yang Terdaftar Di Bursa Efek Indonesia. Undergraduate thesis, Universitas Hayam Wuruk Perbanas Surabaya.
|
Text
ARTIKEL ILMIAH.pdf Download (912kB) | Preview |
|
Text
COVER.pdf Restricted to Registered users only Download (485kB) |
||
|
Text
BAB I.pdf Download (237kB) | Preview |
|
|
Text
BAB II.pdf Download (651kB) | Preview |
|
Text
BAB III.pdf Restricted to Registered users only Download (395kB) |
||
Text
BAB IV.pdf Restricted to Registered users only Download (720kB) |
||
|
Text
BAB V.pdf Download (216kB) | Preview |
|
Text
LAMPIRAN.pdf Restricted to Registered users only Download (946kB) |
Abstract
This study aims to determine whether there are differences in the results of calculations for agricultural sector companies listed on Indonesia Stock Exchange in terms of bankruptcy prediction using the Altman Z-Score, Springate, and Zmijewski methods in the 2017-2020 period and to find out which calculation method has the highest level of accuracy in agricultural sector companies. The sample used in this study ammounted to 10 companies in the agricultural sector with a population of 26 companies. The sampling method use by purposive sampling. Data analysis used the three calculation methods, namely Altman Z-Score method, Springate method, and Zmijewski method. The results show that there are have the differences results of the calculation bankruptcy predictions for agricultural sector companies listed on Indonesia Stock Exchange that have potentioal to bankruptcy using the Altman Z-Score, Springate, and Zmijewski calculation methods in the 2017-2020 periode and the calculation method that has the highest accuracy rate is the Springate method.
Item Type: | Thesis (Undergraduate) |
---|---|
Subjects: | 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 657 - ACCOUNTING > 657.042 - FINANCIAL ACCOUNTING |
Divisions: | Bachelor of Accountancy |
Depositing User: | NURIYA DEASY SHAFIRA |
Date Deposited: | 21 Apr 2022 04:45 |
Last Modified: | 21 Apr 2022 04:45 |
URI: | http://eprints.perbanas.ac.id/id/eprint/8771 |
Actions (login required)
View Item |