Chairil Akhyar
Faculty of Economics and Business Universitas Malikussaleh

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FUNDAMENTAL STOCK INVESTMENT DECISION MAKING WITH PRICE EARNING RATIO (PER) APPROACH IN TECHNOLOGY SUBSECTOR STOCK LISTED ON THE INDONESIA STOCK EXCHANGE Hasvinsa Mahra; Chairil Akhyar; Marzuki; Wardhiah
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 2 No. 2 (2023): October
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/jaruda.v2i2.100

Abstract

This study aims to determine fundamental investment decisions with the Price Earning Ratio (PER) approach in technology subsector stocks listed on the Indonesia Stock Exchange for the 2018-2021 period. This study uses secondary data in the form of financial statements of each technology subsector company, where the sample used in this study is as many as 11 technology subsector companies listed on the Indonesia Stock Exchange for the 2018-2021 period. The data analysis method used in this study is fundamental analysis using the Price Earning Ratio (PER) approach with the help of Microsoft Excel 2021 software. The results showed that all technology subsector companies used in this study were correctly valued because the intrinsic value of the stock was equal to the stock market price or experienced price stability so that investors could hold the stock.
ANALYSIS OF COMPARISON OF BANKRUPTCY PREDICTION ABILITY BETWEEN ALTMAN Z-SCORE ANALYSIS AND ZMIJEWSKI X-SCORE ANALYSIS IN FINANCIAL SERVICES COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE FOR THE 2017-2021 PERIOD Shinta Novitalia; Chairil Akhyar; Adnan; Jumaini
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 2 No. 2 (2023): October
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/jaruda.v2i2.101

Abstract

This study aims to determine the comparative analysis of bankruptcy predictive ability between the Altman z-score and Zmijewski x-score analyses of financial services companies listed on the Indonesia Stock Exchange for the 2017-2021 period. This study uses secondary data in the form of financial statements of each financial service company, where the sample used in this study is 41 financial service companies listed on the Indonesia Stock Exchange. The data analysis method used is the Altman z-score and Zmijewski x-score models with the help of Microsoft Excel 2019 software. The results of the study reveal that (1) from the results of the Altman Z-Score, it is obtained that as many as 19 companies are predicted to experience bankruptcy within five years of the study period, while 6 financial services companies are predicted not to go bankrupt during the five years of the study period. (2) Zmijewski's analysis shows that 3 financial service companies are predicted to go bankrupt during the five-year study period, and 29 financial service companies are predicted not to go bankrupt during the five-year study period. (3) The results of calculating the level of accuracy found that the Altman Z-Score model is the best in predicting the bankruptcy of financial services companies with an accuracy rate of 68.78%, while the Zmijewski model only obtains an accuracy rate of 16.09%.
LIQUIDITY, SOLVENCY AND PROFITABILITY ANALYSIS COMPANIES BEFORE AND AFTER ACQUISITION Suci Andriani -; Marzuki; Chairil Akhyar; Adnan
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 2 No. 2 (2023): October
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/jaruda.v2i2.107

Abstract

This study aims to analyze the Liquidity, Solvency and Profitability of the company before and after the acquisition. This research uses secondary data in the form of annual financial statements of companies listed on the Indonesia Stock Exchange in 2012-2020. The number of companies in this study is 33 companies with sampling using purposive sampling techniques with certain criteria in accordance with the research objectives. The data analysis methods used in this study are descriptive statistical methods and normality tests. Test the hypothesis in this study using the Wilcoxon Signed Rank Test. The results of this study show that the Liquidity ratio, namely Current Ratio (CR) and Quick Ratio (QR) and Solvency ratio, namely Debt to Equity Ratio (DER) and Debt to Assets Ratio (DAR) show that there is no significant difference before and after the acquisition. Then the Profitability ratio, namely Return on Equity (ROE) and Return on Assets (ROA) shows that there is a significant difference before and after the acquisition, but the difference actually shows a significant decline in the company's financial performance after the acquisition.
DETERMINANTS OF CAPITAL STRUCTURE OF PLANTATION COMPANIES ON THE INDONESIAN STOCK EXCHANGE Chairul Azman; Ristati; Yusniar; Chairil Akhyar
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 2 No. 2 (2023): October
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/jaruda.v2i2.109

Abstract

This study aims to determine the determinants of the capital structure of plantation companies on the Indonesia Stock Exchange. The data used in this research is secondary data from 22 plantation companies during the research period from 2017 to 2021 so that the observations in the study totaled 110 observations. The method used to analyze the relationship between the independent variables and the dependent variable is the panel data regression method. The results showed that partially Tangibility had a positive and significant effect on capital structure in Plantation Companies on the Indonesia Stock Exchange, Profitability had a positive and significant effect on capital structure in Plantation Companies on the Indonesia Stock Exchange, and Liquidity had a positive and significant effect on capital structure in Plantation Companies on the Indonesian Stock Exchange.