Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal GeoEkonomi
Dewi Harahap, Syanti
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
ANALISIS PERBANDINGAN AKURASI MODEL PREDIKSI KEBANGRUTAN ANTARA MODEL ALTMAN DAN SPRINGATE PADA PERUSAHAAN SEKTOR PARIWISATA, RESTORAN, DAN HOTEL DI BEI Dewi Harahap, Syanti; Saputra, Dasriyan; Husein Anhar, Ryn
Jurnal GeoEkonomi Vol. 16 No. 1 (2025)
Publisher : Program Studi Manajemen Fakultas Ekonomi Universitas Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/geoekonomi.v16i1.547

Abstract

This study aims to analyze and compare the Altman Z''-Score bankruptcy method and the Springate S-Score method. The formulation of the problems in this study are: first, is there a significant difference in predicting bankruptcy using the Altman Z”-Score model and the Springate S-Score model, and secondly, is the most accurate bankruptcy prediction model in predicting the bankruptcy of tourism companies, restaurants and hotels in Indonesia Stock Exchange. The data used in this study are company financial reports published on the Indonesia Stock Exchange's website. The population used in this study are all tourism, restaurant and hotel sector companies on the Indonesia Stock Exchange. Data analysis techniques used non-parametric statistical tests, namely the Wilcoxon Signed Rank Test using SPSS, Accuracy and Error Testing using Microsoft Excel. The results of this study indicate that there is a significant difference between the Altman Z”-Score model and the Springate S-Score model in predicting bankruptcy, and the most accurate model in predicting bankruptcy is the Altman Z”-Score model with an accuracy rate of 72.72% of on the Springate S-Score model with an accuracy rate of only 63.63%.
Co-Authors Husein Anhar, Ryn Saputra, Dasriyan