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Analysis Comparisonal of Financial Performance on Basic Chemical Sub Sector Manufacturing Company before and During Pandemic Covid 19 Registered Indonesia Stock Exchange Period 2019-2020 Cahyo Pramono; Maya Macia Sari; Eka Soraya
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 2 (2022): Budapest International Research and Critics Institute May
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i2.5532

Abstract

The study was to find out the different financial performance of Manufacturing Companies in the Basic Chemical Sub Sector before and after the Covid 19 Pandemic in 2019 between 2020. Financial performance in this study uses the profitability ratio, liquidity ratio, solvency ratio, activity ratio, and market value ratios. The population in this study was 12 Manufacturing Companies in the Basic Chemical Sub Sector and the sample was 12 Manufacturing Companies in the Basic Chemical Sub Sector with two years of observation from 2019 until 2020 period. Technique collection data uses library research and indirect observation which can be accessed on the site www.idx.co.id. The analytical technique used in this study is descriptive statistics, normality test method (Kolmogorov-Smirnov), parametric test (Paired sample t-test), and nonparametric test (Wilcoxon signed test). The result of this study showed that return on equity there was no significant difference before and after Covid 19 Pandemic, debt to assets ratio has been significant difference before and after Covid 19 Pandemic, debt to equity ratio there was no significant difference before and after Covid 19 Pandemic, a working capital turnover there was no significant difference before and after Covid 19 Pandemic, total assets turnover has been significant difference before and after Covid 19 Pandemic.
ANALYSIS OF CONSUMER DECISIONS TO BUY PRODUCTS AT ALFAMART MEDAN RETAIL STORES USING PSYCHOLOGICAL FACTORS AS PREDICTORS Nura Amalia Afan; Hidayati Purnama Lubis; Dennis Nathanael; Ellysa; Eka Soraya
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 3 (2021): International Conference on Health Science, Green Economics, Educational Review and T
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ihert.v3i1.298

Abstract

This research uses four psychological factors as independent variable, consisting of motivation, perception, learning, and belief and attitude. This study uses a dependent variable, namely the purchase decision. This study aims to find the influence of psychological factors consisting of motivation, perception, learning, and beliefs and attitudes on purchasing decisions either partially or simultaneously. The research was conducted in Alfamart outlet located at Jalan Medan-Binjai Km. 12 Muliorejo Village Sunggal Sub-district Deli Serdang District - North Sumatra. Sampling of 97 respondents using the formula Zikmund. Samples were taken by purposive sampling. Data collection using questionnaires distributed to respondents who shop at Alfamart booth where the research is done, and the scale used is Likert scale. Data analysis using multiple linear regression in which data processing using SPSS 24 windows based auxiliary application. The tests include data quality testing consisting of validity test, reliability test, and classical assumption test consisting of normality test, multicollinearity test, heteroscedasticity test, F test, t test, and test of determination. The results showed a positive and significant influence simultaneously motivation, perception, learning, and beliefs and attitudes on purchasing decisions. partially, only perception, learning which shows a positive and significant influence on purchase decision. The adjusted value of R Square obtained is 0.539 indicating that 53.9% of purchasing decisions can be obtained and explained by psychological factors consisting of motivation, perception, learning, and beliefs and attitudes, while the remaining 46.1% is explained by other factors or variables beyond the model such as advertising, brand image, discount, and others..