Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Riwayat: Educational Journal of History and Humanities

Analysis of Financial Statements Using the Altman Z-Score, Springate and Zmijewski Models to Predict Bankruptcy Hamdani Hamdani*; Sari Rahmi; Asrid Juniar
Riwayat: Educational Journal of History and Humanities Vol 6, No 3 (2023): Social, Political, and Economic History
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v6i3.33719

Abstract

The purpose of this study was to find out how the Altman Z-Score, Springate and Zmijewski models analyze bankruptcy predictions for retail companies listed on the Indonesia Stock Exchange in 2017-2021. The population of this study are Retail Companies Listed on the Indonesia Stock Exchange in 2017-2021. The research sample consisted of 24 retail companies. The data analysis model used is the Altman Z-Score, Springate and Zmijewski models. This research was conducted by taking secondary data with specified criteria from the official website of the Indonesia Stock Exchange. Based on the results of the research, it shows that the Altman Z-Score model of the sixty retail companies studied has the potential to experience bankruptcy, the Springate model of eighty-six companies that have the potential to experience bankruptcy the Zmijewski model has thirty-eight companies that have the potential to experience bankruptcy. This research is useful as reference material regarding bankruptcy prediction.
Analysis of Financial Statements Using the Altman Z-Score, Springate and Zmijewski Models to Predict Bankruptcy Hamdani Hamdani*; Sari Rahmi; Asrid Juniar
Riwayat: Educational Journal of History and Humanities Vol 6, No 3 (2023): Social, Political, and Economic History
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v6i3.33719

Abstract

The purpose of this study was to find out how the Altman Z-Score, Springate and Zmijewski models analyze bankruptcy predictions for retail companies listed on the Indonesia Stock Exchange in 2017-2021. The population of this study are Retail Companies Listed on the Indonesia Stock Exchange in 2017-2021. The research sample consisted of 24 retail companies. The data analysis model used is the Altman Z-Score, Springate and Zmijewski models. This research was conducted by taking secondary data with specified criteria from the official website of the Indonesia Stock Exchange. Based on the results of the research, it shows that the Altman Z-Score model of the sixty retail companies studied has the potential to experience bankruptcy, the Springate model of eighty-six companies that have the potential to experience bankruptcy the Zmijewski model has thirty-eight companies that have the potential to experience bankruptcy. This research is useful as reference material regarding bankruptcy prediction.
The Influence of Information Technology Utilization, Information System Implementation and HR Competency on the Quality of Banjarmasin City Government Performance Reports Agustina, Elvira; Hamdani*, Hamdani; Juniar, Asrid
Riwayat: Educational Journal of History and Humanities Vol 7, No 2 (2024): April, The Election and Political History
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v7i2.38151

Abstract

This study aims to determine and analyze the effect of information technology utilization, implementation of Local Government Information Systems, and human resource competencies on the quality of Local Government Financial Reports on SKPD in Banjarmasin City. This type of research used is quantitative research. The research data was obtained by using a questionnaire distributed to financial management employees at SKPD in Banjarmasin City. The sampling were determined by using the purposive sampling. The analysis technique used is multiple linear analysis using the IBM SPSS Statistics application. The results of this study indicates that the utilization of information technology affects the quality of Local Government Financial Statements. Meanwhile, the implementation of Local Government Information Systems, and the competence of human resources does not effect the quality of Regional Government Financial Reports