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Journal : Strata Business Review

Analisis Variabel-Variabel yang Mempengaruhi Kebijakan Dividen pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Tahun 2018 - 2021 Pratama Gilang Kotawa; R. Heru Kristanto; Sri Dwi Ari Ambarwati
Strata Business Review Vol. 1 No. 2 (2023): November
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/sbr.v1i2.98

Abstract

This research aims to determine the influence of profitability, liquidity, company size, growth opportunity, leverage, and COVID-19 on dividend policy. The population in this study are manufacturing companies listed on the Indonesia Stock Exchange for 2018 - 2021. The sample in this study was taken using a non-probability sampling technique, namely a purposive sampling technique. The number of selected pieces was 276-panel data of 69 companies (cross-section) and a 4-year time series. Hypothesis testing is carried out using panel data regression analysis with the Fixed Effect Model (FEM) regression model. The research results show that profitability, liquidity, company size, growth opportunity, leverage, and COVID-19 all influence dividend policy. Partially, profitability and liquidity have a positive effect on dividend policy, while power hurts dividend policy. Meanwhile, company size, growth opportunities, and COVID-19 did not affect dividend policy. Based on the results of the t-statistical test, 3 hypotheses were accepted, and 3 hypotheses were rejected. This research can provide practical contributions to investors or potential investors. Investors can use variable data that influences a company's dividend policy as a consideration for investing in the right company to get a return on investment in the form of dividends.
Memprediksi Minat Turnover Karyawan PT Danamas Insan Kreasi Andalan ( PT Dika) Yogyakarta Rhio Zifri Kantataqwa; Purbudi Wahyuni; Sri Dwi Ari Ambarwati
Strata Business Review Vol. 1 No. 2 (2023): November
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/sbr.v1i2.123

Abstract

This research aims to analyze the factors that influence the employee turnover intentions of PT Danamas Insan Kreasi Andalan (PT Dika) Yogyakarta. By using quantitative research methods involving 70 respondents, this research's multiple linear regression analysis showed that work stress and work compensation have a positive and significant influence on turnover intention among PT Danamas Insan Kreasi Andalan (PT DIKA) employees. Apart from that, the work environment also acts as a moderating variable that strengthens the relationship between work stress and turnover intention, as well as between work compensation and turnover intention. These results emphasize the importance of paying attention to work environmental factors in managing work stress and providing work compensation to reduce the intention to change jobs among PT DIKA employees, especially in Yogyakarta. In this way, companies are expected to focus more on improving employee welfare and creating a conducive work environment to reduce turnover risk.
Does Herding Occur During the Presidential Election in the Indonesian Capital Market in 2024? Erlangga, M. Sandi Surya; Hikmah, Khoirul; Ambarwati, Sri Dwi Ari
Strata Business Review Vol. 2 No. 2 (2024): November
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/sbr.v2i2.272

Abstract

Amid the uncertainty of the presidential election, investors' emotions, beliefs, and perceptions are affected, resulting in behavioral biases in decision making such as herding behavior. This study aims to determine whether the 2024 Presidential Election has an effect on the herding behavior of investors in the Indonesian capital market. By looking at the relationship between Cross Sectional Absolute Deviation (CSAD) and market returns 1 month before and after the presidential election, herding behavior in the stock market can be determined. The population in this study are companies listed on the LQ45 index in 2024 and uses the purposive sampling technique and there are 35 companies will then be used as samples in this study. This study uses quantile regression analysis because herding detection is carried out in different market conditions in which these conditions are normal market, stress market and high returns market. The results of this study indicate that the presidential election has an effect on the herding behavior of investors in the Indonesian stock market, both before and after the presidential election.