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This research aims to analyze the influence of impulse buying on consumer purchasing decisions on the Shopee site (case study of STIE Rajawali Purworejo students). Data collection techniques in this research were obtained by observation, interviews, questionnaires, literature study and documentation. The population in this study were students majoring in management and accounting class 2016/2017 and 2017/2018 STIE Rajawali Purworejo, totaling 34 and the sampling technique used in this research was the census method or saturated sampling. A total of 34 people were students of STIE Rajawali Purworejo majoring in management and accounting class 2016/2017 and 2017/2018. The data analysis technique used in this research is a Likert scale to measure respondents' opinions and test instruments that were prepared. The test instruments used are: simple linear regression, coefficient of determination and partial testing (T). The simple regression analysis test shows that there is a significant influence in a positive direction between impulse buying and purchasing decisions of 0.594, meaning that if the impulse buying variable increases by one unit then will be followed by an increase in purchasing decision variables. The coefficient of determination test shows an R2 value of 0.905, meaning that 90.5% of the purchasing decision variable can be explained by the impulse buying variable. The remaining 9.5% of purchasing decisions can be explained by other variables not proposed in this research. The results of the t test showed that the t count was 17,453, which was greater than the t table (17,453 > 2.0369) and at a significant level (0.000 < 0.05), so Ho was rejected and Ha was accepted, which means that there was a positive and significant influence between the impulse buying variable on consumer purchasing decisions. 

This research aims to find out whether partially and simultaneously there is a positive and significant influence between e-service quality and e-satisfaction on e-loyalty among customers of the Shopee buying and selling site in Purworejo. The data source uses a questionnaire. The population in this study are customers who have purchased more than 3 times on the Shopee buying and selling site in Purworejo. The sampling technique used was purposive sampling. The sample used was 30 people. The data analysis techniques used are validity test, reliability test, multiple regression analysis, coefficient of determination, t test and F test. The results of the validity test prove that all the statement items for the variables e-service quality, e-satisfaction and e-loyalty show a Pearson correlation value of more than 0.3. The results of the reliability test show that the Cronbach's alpha value for the e-service quality, e-satisfy action and e-loyalty variables is more than 0.70. The results of multiple linear regression analysis show: a) a constant of 0.672; b) b1 value of 0.122; c) b2 value of 0.743. The results of the coefficient of determination show an AdjustedRsquare value of 0.953. This means that e-service quality and e-satisfaction contribute 95.3% to e-loyalty. The t test results show: a) the t value of the e-service quality variable is greater than t table (2.370 > 1.699) or a sig value of 0.025 (p < 0.05); b) the tcount value of the e-satisfaction variable is greater than ttable (3.747 > 1.699) or the sig value is 0.001 (p < 0.05). The results of the F test show that the F value is 292.628, which is greater than 4, and the sig value is 0.000 (p < 0.05). 

The aim of this research is to analyze the influence of compensation and competency on teacher performance at SD Muhammadiyah Kutoarjo. The population of this research is Permanent Foundation Teachers (GTY) who work at SD Muhammadiyah Kutoarjo. The sample used with a saturated sampling technique was 26 people. This research uses data analysis methods, namely: Likert scale, validity test, reliability test, simple linear regression analysis, coefficient of determination, t test and f test. Based on the research carried out, the results of the regression equation Y = 2.612 + 0.599 (X1) + 0.486 (X2). This means that if the value of the compensation and competency variables in the research object is equal to zero, then the level or magnitude of the teacher performance variable is 2.612. The results of the analysis of the coefficient of determination explain that 63% of compensation and competency variables contribute to teacher performance. Meanwhile, the remaining 37% is influenced by other variables that were not researched, such as ability, motivation, leadership, organizational relationships, and so on. The results of the partial hypothesis test (t test) explain that the compensation variable has a positive and significant effect on teacher performance, while the competency variable does not have a positive and significant effect on teacher performance. The results of simultaneous hypothesis testing (f test) produce a positive and significant influence between compensation variables and competency variables on teacher performance. 

This research aims to find out whether there is a positive and significant influence between Grab's service quality and consumer satisfaction during the Covid-19 pandemic. The population in this research is Grab users in Purworejo whose number is unknown, while the number of samples in this research is 40 people. Data collection techniques in this research are observation, questionnaires, documentation and literature study. Data analysis techniques use simple correlation tests, simple linear regression, determination tests and t tests. The results of a simple correlation test show that service quality X and customer satisfaction Y have a significance value of 0.659, which means that the two variables have a strong correlation. Based on a simple linear regression test, the resulting regression coefficient X is 0.410, which states that if there is an increase of 1 point in the value of the regression coefficient The results of the determination test showed that the coefficient of determination (R2) had a value of 0.435, this means that 43.5% of consumer satisfaction was influenced by the service quality variable, while 56.5% was influenced by other variables that were not studied, for example competition with other online motorcycle taxis, tariffs. or price, customer experience in using grab services, etc. Based on the t test, tcount is 5.408 while ttable is 2.02439. With these data, tcount > ttable, so it can be concluded that the Ha hypothesis is acceptable, namely that there is a significant influence between service quality variables on customer satisfaction and can be accepted. 

The business world in 2020 is said to be a golden year. There is no end to discussing business developments in the country. This is because Indonesia itself is a country that has extraordinary business development potential. Many analysts and observers say that Indonesia is a market that is too big to be a good habitat for business development which is followed by existing internet developments. Shopee is a buying and selling site or online market place that specifically provides buying and selling transactions. Advertisements often appear on internet or online social media. Likewise with the public, when they see Shopee advertisements in online media, many consumers are interested and carry out buying and selling transactions. They often buy products such as clothes, beauty tools and other accessory products. Shopee advertisements appear almost every time on social media, Shopee advertisements also offer discounts, free shipping, and quality goods.  

This study aims to determine the effect of the quality of subsidized urea fertilizer on consumer satisfaction of PT. Pupuk Sriwidjaja at UD. Main Kutoarjo. This study uses data collection techniques and surveys with questionnaires as well as literature study. The sample used with simple random sampling technique, amounting to 60 people. The related variable in this study is the quality of subsidized urea fertilizer on consumer satisfaction of PT. Pupuk Sriwidjaja Palembang at UD. Utama Kutoarjo with a simple correlation analysis method. The data analysis technique used in this study used a Likert scale to measure respondents' opinions and test instruments to test the instruments that were compiled. The test instruments used are validity test, reliability test, correlation coefficient, simple linear regression, coefficient of determination, and partial test (t test). Simple linear regression test results.Based on a simple linear regression test, it can be seen that the fertilizer quality variable increases by one unit, it will be followed by an increase in the farmer satisfaction variable, namely 0.226 which has a significant value in a positive direction, so it can be said that the direction of the influence of the X variable on Y is positive. The result of the coefficient of determination shows the R2 value of 0.124, which means that the contribution of the variable consumer satisfaction is 12.4% while the rest is influenced by other variables not examined, such as fertilizer allocation and prices. The results of the t-test obtained that the t-count value is greater than t-table (2.865 > 2.0017), then the null hypothesis which states that there is no positive and significant effect between fertilizer quality on farmer satisfaction is rejected and the working hypothesis (Ha) which states that there is a positive and significant influence between the quality of fertilizer on farmer satisfaction is accepted. 

The purpose of this research is to find out whether there is a positive and significant influence between book collections and services on students' interest in reading at the library of SMP Negeri 36 Purworejo. This research is quantitative descriptive research because research data uses numbers to conclude the results of research conducted at the library of SMP Negeri 36 Purworejo. The population of this study were all students at SMP Negeri 36 Purworejo, totaling 571 students. The sample used was 58 students using accidental sampling. This research used data analysis methods, namely: multiple linear regression, coefficient of determination, t test and F test. The results of calculating the coefficient of determination show an adjusted R Square figure of 0.131 or 13.1%. This figure means that 13.1% of students' reading interest is influenced by book collection and service variables. Meanwhile, the remaining 86.9% is influenced by other variables outside the research such as personality factors, gender, level of education, health, mental state and habits. This research shows the results of t tabel of 1.672, t hitung of the book collection variable of 1.962 with a sig value of 0.055 so that H1 is accepted . Meanwhile, t hitung service variable is 1.412 with a sig value of 0.163 so that H2 is rejected. The f test shows a figure of ƒ tabel3.158 with a confidence level of 0.05 and ƒ hitung of 5.371 with a sig value of 0.007, then H3 which states that simultaneously there is a positive and significant influence between the book collection and service variables on students' reading interest in the library of State Middle School 36 Purworejo is accepted and Hodi is rejected. 

The aim of this research is to determine the effect of price and service quality on competitive advantage at Babershop Koko in Nampurejo Purwodadi village. The analytical technique used to analyze the effect of price and service quality. Data collection and surveys were carried out using questionnaires. The sample used a purposive sampling technique, totaling 50 respondents. This research uses data analysis methods, multiple regression, coefficient of determination t test and f test. Based on the research carried out, the results of the regression equation Y = 0.671 + 0.041X1 + 0.298X2 are finally obtained. This means that if the value of the price and service quality variables is objectified research is equal to zero, then the level or magnitude of the competitive advantage variable at Babershop Koko is 0.671. The results of the analysis of the coefficient of determination (R Square) explain that 21.1% is influenced by price and service quality variables, while 78.8% is influenced by other factors that were not studied, for example promotional factors and other consumer loyalty and so on. The results of partial hypothesis testing (t test) show a positive and significant influence between price and service quality on competitive advantage. The results of simultaneous hypothesis testing (f test) show a positive and significant influence between the price and service quality variables on competitive advantage. 

Service quality is the main milestone in the company's running activities. In general, providing good and maximum service will encourage consumers to make purchasing decisions. This has a very good impact on the company's goal, namely to increase sales output. The aim of this research is to determine "The Influence of Service Quality on Purchasing Decisions at Flow Distro Prembun". Samples were taken using the Simple Random Sampling technique. The average number of Kios Insan Busana consumers per month can reach 400 people. As research subjects, 25% of all consumers at the Insan Busana Kiosk were taken, namely 100 consumers. From the t test, it can be concluded that the Service Quality variable has a positive and significant effect on the purchasing decision variable because it has a significance of 0.000 (P> 0.05) and the tcount > ttable (8,781 > 1.984). So hypothesis 0 which states that there is no positive and significant influence between service quality and purchasing decisions is rejected and the working hypothesis (Ha) which states that there is a positive and significant influence between service quality and purchasing decisions is accepted.  

This research aims to analyze "The Influence of Distribution Channels on the Sales Volume of Purebred Chicken Eggs from Wijaya Kusuma Farm, Megulung Kidul Village, Pituruh District, Purworejo Regency". This research uses data collection and survey techniques using questionnaires and literature study. The sample used purposive sampling technique. The variables related to this research are distribution channels on sales volume using a simple linear regression analysis method. All statements were tested using validity and reliability tests which had a correlation > 0.300 (valid) and had an alpha coefficient > 6.0 (reliable). Based on a simple correlation, it shows that the relationship between the distribution channel variable and the sales volume variable is 0.591, meaning that the distribution channel variable has a moderate relationship with the sales volume variable. The simple regression equation Y = 16.078+ 0.341X results in a constant of 16.078. Analysis of the coefficient of determination shows that the contribution results from distribution channel variables are 15.3% and 84.7% are influenced by other factors. The t test shows that H1 the distribution channel variable partially has a positive and significant influence on the sales volume variable. This is indicated by thitung being greater than ttabel(2.787 > 2.016) and a significant level of (0.008 < 0.05).  

This research aims to test the determinants of location, service quality and customer satisfaction regarding switching intention at "Wisma Sadewa" Pangenrejo, Purworejo. Data collection techniques in this research were obtained by observation, interviews, questionnaires, documentation and literature study. The sampling technique used was a saturated sample of 16 people. The research methods in this research were multiple correlation analysis, multiple regression, t test and determination test. The results of multiple regression testing obtained the equation Y=3.355+0.950X1+0.549X2+0.117X3. Adjusted R Square is 0.908, this number is called the coefficient of determination value. The determination value is 0.908 or 90.8%. Based on the level of significance, α=0.05 with a confidence level of 95% with ttabel =n-k-1, it is obtained that ttabel is 1,796, while the calculation results produce fhitung Location variable (X1) of 3.22 2 So the value of fhitung is greater than the value of ttabel (3,222 >1.796) or a sig value of 0.007 (P<0.05), so that the Location variable (X1) has a positive and significant effect on Switching Intention (Y). ttabel (1.886 >1.796) or a sig value of 0.030 (P<0.05), so that the service quality variable (X2) has a positive and significant effect on Switching Intention (Y). ttabel (0.619 <1.796) or a sig value of 0.548 (P>0.05), so that the customer satisfaction variable (X3) does not have a positive and significant effect on Switching Intention (Y). Based on the SPSS output results above, with a level of significance, α = 0.05 with a confidence level of 95% with fhitung =n-k-1, it is obtained that ftabel is 2,328, while the calculation results based on table 4.32 which are carried out produce fhitung The variable location, service quality and customer satisfaction is 50,399. So the value of fhitung is greater than the value of ftabel (50,399 > 2,328) or a sig value of 0.00 (P<0.05), so that the variables Location, Service Quality and Customer Satisfaction have a positive and significant influence on the Switching Intention (Y) decision. Based on the results The research conducted by the author provides suggestions for Wisma Sadewa continues to improve the quality of facilities and infrastructure as well as providing supporting services including technicians, cleaning staff and security staff to support customer satisfaction.  

Passenger satisfaction is the main goal in a business or business, especially sea transportation services. To achieve passenger satisfaction, of course, there are many important aspects that must be met by service providers. Aspects that must be met include the completeness of the ship's facilities and timeliness. The related variables in this study are the completeness of ship facilities and timeliness of passenger satisfaction on PT. Marina Logistik Sejahtera with multiple linear regression analysis method. All statements were tested with validity, reliability and had a correlation > 0.300 (valid) and had an alpha coefficient > 0.6 (reliable). From the calculation of the coefficient of determination, the value of Adjusted "R square" is 0.746 or 74.6% . It can be concluded that the completeness of ship facilities and timeliness have an effect of 74.6% on the satisfaction of ship passengers. The t test for the X1 variable shows that tcount > t table (6.709> 1.66071) with a sig value of (0.000 <0.05). In the t-test of the completeness of ship facilities and timeliness have an effect on satisfaction. ship passengers. While the results of the simultaneous test of the variables completeness of ship facilities and timeliness have a significant effect, it is proven that F count = 146.546 > f table = 1.77 by obtaining a sig value of (0.000 < 0.05) on ship passenger satisfaction, meaning that, the more complete ship and ship facilities are always on time making passengers feel satisfied using the transportation services provided by PT. Marina Logistik Sejahtera Balik 

The aim of this research is to find out what factors are most dominant in consumer decisions when purchasing a house at PT. Ardan Greenland Propertindo. The population used in this research were people who bought houses at PT. Ardan Greenland Propertindo, numbering 450 people. The sampling technique used is Simple Random Sampling, namely taking sample members from the population at random without paying attention to the strata in the population. The number of samples taken in this research was 10% of the total population (450 home buyers), namely 45 home buyers. Data collection techniques in this research were obtained by observation, interviews, questionnaires, documentation and literature study techniques. Data regarding research variables was obtained through questionnaires distributed to respondents to provide responses to questions/statements in the questionnaire. The research data that has been obtained will then be analyzed using Likert scale analysis techniques with the ideal score (if all respondents choose the answer with the highest score) which is 450 and the lowest score (if all respondents choose the answer with the highest score) which is 90. The results of this research show that the factors -factors that influence purchasing decisions at PT. Ardan Greenland Propertin includes product factors, price factors, promotional factors and location factors. The results of calculating respondents' answer scores using Likert scale analysis for each factor are as follows: 1) Product factors: obtained a score of 385:450×100%=85.56%, meaning that 85.56% of respondents agree that product factors influence consumer purchasing decisions, 2) the price factor obtained a score of 395:450×100%=87.78%, meaning that 87.78% of respondents agreed that the price factor influences consumer purchasing decisions, 3) the promotion factor obtained a score of 352:450×100%=78.22%, meaning that the respondents agree that promotional factors influence consumer purchasing decisions, 4) place/environment factors obtained a score of 366:450×100%=81.33%, meaning that respondents agree that place/environment factors influence consumer purchasing decisions. From the results of the analysis carried out above, it can be seen the magnitude of the influence of each of the four existing factors, and the most dominant factor influencing PT purchasing decisions. Ardan Greenland Propertindo is a price factor. This is shown by the total score of 395 or 87.78%. From the research results, the lowest score was obtained, namely on the promotion factor, therefore the researcher gave suggestions to create advertisements on the website specifically for PT promotions. Ardan Greenland Propertindo or can make banners on the road. 

The aim of this research is to determine the effect of the member get member program on increasing the number of students at biMBA AIUEO Gadjah Mada Purworejo. Data collection techniques in this research were obtained by observation, interviews, literature study and documentation. This research is included in descriptive qualitative research. The data analysis technique used in this research uses the instrument test used, namely simple linear regression analysis, coefficient of determination, and partial testing (t test). The results of the simple regression analysis are Y = 36.919 + 0.781 points, then the variable size for increasing the number of students is 0.781. The results of the calculation of the coefficient of determination show that R2 is 96.2% for the dependent (dependent) variable, namely the increase in the number of students. The remaining 3.8% increase in student numbers was influenced by other variables such as free registration promotions, coloring competitions and reading performances. The t test results obtained thitung is greater than ttabel  (250.035> 2.228) and the significant level is (0.000 < 0.05) so Ho is rejected and Ha is accepted, which means there is a positive and significant influence on the member get member program variable towards increasing the number of students at biMBA AIUEO Gadjah Mada Purworejo.  

The aim of this research is to determine the effect of promotional programs on consumer purchasing decisions at the Cellcom Kaliboto Bener Purworejo cellphone shop. Data collection and surveys were carried out using questionnaires. Sampling used purposive sampling technique, totaling 32 people. This research uses data analysis methods, simple linear regression, coefficient of determination and t test (partial). Based on the research carried out, the result of the regression equation is Y= 15.889 + 0.768X, which means that if the promotional program variable is equal to zero then the level or magnitude of the variable the purchase decision at Cellcom was 15,889. The contribution of promotional program variables to purchasing decisions is 0.478 or 47.8%, while the remaining 52.2% is influenced by other factors, namely price, product quality, product design, service and others. Partially there is a positive and significant influence between promotional programs on purchasing decisions.  

Economic developments in the business world are very fast and increasingly strong, resulting in demands for companies to continue to carry out various kinds of innovations to improve performance and expand company businesses so that they are able to compete and survive in the business world. Research with the title "The Influence of Good Corporate Governance (GCG) on Company Financial Performance”. This research uses a population of pharmaceutical sub-sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) for the 2017-2018 period. The purpose of this research is to examine the influence of Institutional Ownership on Company Financial Performance, to examine the influence of Managerial Ownership on Company Financial Performance and to examine the influence of Institutional Ownership and Managerial Ownership on Company Financial Performance. The data sources used are secondary data and a purposive sampling method to determine the sample. will be used and produce a final sample of 10 manufacturing companies. After carrying out the sampling criteria, 6 companies were used as samples. The data in this research were analyzed using the SPSS program. The analysis used was descriptive analysis, classical assumption testing, statistical analysis and hypothesis testing. Based on the data analysis carried out, it was concluded that institutional ownership had a positive effect on financial performance, managerial ownership had no significant effect on financial performance, institutional ownership and managerial ownership had a positive effect on financial performance. 

This study aims to examine the effect of Financial Reporting Quality, Financial Leverage, and Company Size on Company Stock Prices (Study on Manufacturing Companies in the Cosmetics and Household Goods Sub-Sector Listed on the Indonesia Stock Exchange for the 2017-2019 Period). The population in this study is the Manufacturing Sub-Sector of Cosmetics and Household Goods listed on the Indonesia Stock Exchange (IDX) in 2017-2019 as many as 6 companies. The sampling method used is purposive sampling, where the sample that meets the criteria is 5 companies over a period of 3 years, then the number of samples of research data is 15. The analysis technique used is calculating each variable, descriptive statistical test, classical assumption test, statistical analysis test, and hypothesis testing. The results of this study indicate that the quality of financial reporting, financial leverage, and company size affect the company's stock price.  

The aim of this research is to determine Economic Value Added (EVA), Market Value Added (MVA) and Return On Assets (ROA) in banking companies listed on the IDX for the 2020 period. The data collection technique used in this research method is literature study. The population in this study was 43 companies. In this research, researchers carried out samples to represent the population using simple random sampling, with a sample of 23 samples. This research explores and analyzes the independent and dependent variables consisting of Economic Value Added/EVA (X1), Market Value Added/MVA (X2) and Company Performance / Return On Assets (Y) which will be analyzed using multiple correlation analysis techniques, multiple regression , t test, f test and determination coefficient. In this research, the regression test obtained the equation ` Y = 0.605 + 1.213 X1 –6.558 X2. Where the constant is 0.605, which means that if Economic Value Added (EVA) and MVA are fixed (or 0), then ROA is 0.605. And if X1 or Economic Value Added (EVA) increases by one unit while X2 or MVA remains constant (or 0), then ROA will increase by 1.213. And if X1 or Economic Value Added (EVA) remains (or 0) while X2 or MVA increases by one unit, then ROA will decrease by 6.558. In the t test for Economic Value Added (EVA) it is known that the t count is 0.934 and the t table is 172472. So t count < t table then ho is accepted, so that the poor Economic Value Added (EVA) makes Economic Value Added (EVA) does not affect ROA. Meanwhile, for MVA, it is known that t count is -1.382 and t table is 1.72472, so t count < t table so ho is accepted. So MVA partially has no effect on ROA. In ANOVA, the results obtained for Economic Value Added (EVA) and MVA in this study showed that the calculated f was 3.029 and the f table was 2.59. So f table < f count then ho is rejected, so that Economic Value Added (EVA) and MVA simultaneously influence ROA. The Adjusted R Square figure (correlation figure squared or 0.4822) is 0.156. The Adjusted R Square number is also called the Coefficient of Determination. The coefficient of determination is 0.156 or equal to 15.6%. This figure means that the 15.6% ROA that occurs can be explained using the Economic Value Added (EVA) and MVA variables. The remaining 84.4% (100% -15.6%) must be explained by other causal factors such as Net Profit Margin, Return on Sales and Debt to Equity Ratio. 

This research aims to determine the influence of Intellectual Capital consisting of Value Added Capital Employed (VACA), Value Added Human Capital (VAHU) and Structural Capital Value Added (STVA) and Firm Size on manufacturing companies listed on the BEI for the 2016 – 2018 period. This research uses a population of manufacturing companies listed on the Indonesia Stock Exchange (BEI) for the period 2016 – 2018. This research uses secondary data as research material and a purposive sampling method to determine the sample to be used and produces a final sample of 162 manufacturing companies. After carrying out the sampling criteria, 8 companies were used as samples. The data in this study were analyzed using the SPSS program. The analysis used is descriptive analysis, classical assumption testing, statistical analysis and hypothesis testing. The results of this research show that Value Added Capital Employed (VACA), Value Added Human Capital (VAHU) and Structural Capital Value Added (STVA) have a positive influence on profitability. Meanwhile, firm size shows different results. Firm size has no effect on profitability. 

This research aims to determine the influence of e-service quality on the decision to repurchase Prameks train tickets. The population in this study were KAI Access users who bought Prameks train tickets. The sampling technique in this study used purposive random sampling. The number of samples in this study was 96 people. The data analysis technique uses simple linear regression analysis, coefficient of determination test, t test which is processed using SPSS version 25. The results of the research show that the simple regression equation Y= 3.859+0.961X results in a constant coefficient of 3.859. The results of the price coefficient of determination show that the contribution of the e-service quality variable is 57.4%, while 46.2% is influenced by other variables not studied. Based on the t test, the e-service quality variable shows that Ho is rejected and Ha is accepted because the significance value obtained is (0.000 < 0.05).