ANALISIS TINGKAT AKURASI MODEL PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN SEKTOR TRANSPORTASI DAN LOGISTIK DI BURSA EFEK INDONESIA

Shauma Zahwa Azzahra, . (2022) ANALISIS TINGKAT AKURASI MODEL PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN SEKTOR TRANSPORTASI DAN LOGISTIK DI BURSA EFEK INDONESIA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

This study aimed at determining whether there are differences in the results of financial distress predictions when calculated using the modified Altman Z-Score model, the Springate model, and the Zmijewski model. This research was also conducted to find out which model has the highest level of accuracy. The population in this study are companies in the transportation and logistics sector on the Indonesia Stock Exchange (IDX) for the 2016-2020 period. The sample in this study was selected using the purposive sampling technique and obtained as many as 15 companies. The data in this study were processed using parametric statistical tests with paired sample t-test and the accuracy test. The results conclude that there is a significant difference in results between the Springate and Zmijewski models in predicting financial distress and the model that has the highest level of accuracy is the Springate model with a value of 70,77%, followed by the Zmijewski model of 67,69% and the Altman model of 50,29 %.

Item Type:	Thesis (Skripsi)
Additional Information:	{No. Panggil: 1810111114} {Pembimbing: Dewi Cahyani Pangestuti} {Penguji 1: Dahlia Pinem} {Penguji 2: Edi Warman}
Uncontrolled Keywords:	Financial Distress, Altman Z-Score Model, Springate Model, Zmijewski Model
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Divisions:	Fakultas Ekonomi dan Bisnis > Program Studi Manajemen (S1)
Depositing User:	Shauma Zahwa Azzahra
Date Deposited:	14 Feb 2022 03:29
Last Modified:	14 Feb 2022 03:29
URI:	http://repository.upnvj.ac.id/id/eprint/16456

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