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Study table is one of the supporting learning activities but the current study table design is not in accordance with consumer needs, especially for children. The development of this study table product is expected to answer the needs of custumers or consumers and produce an ergonomic study table. This multifunctional learning folding table product uses the parameter measurement of the Quality Function Deployment (QFD). The result obtained based on the customer show that there are 7 attributes (customer requitment) and 4 technical parameters ( technical response). In this regard, the product development of a multifuntional folding study table uses the Quality Function Deployment (QFD) method using teak wood. This table also has several features, namely a reading light feature, a glass holder, a storange feature, equipped with a simple design, attaractive practical colors and ideal dimensions so as to increase comfort inusing the folding study table product.

Traffic safety is influenced by several factors including Driver Discipline, Law Enforcement, Motorcycle and Road Conditions. Of the three, have an important role in improving traffic safety with satisfactory results. The purpose of this study was to determine whether or not there is an effect of Driver Discipline, Law Enforcement, Motorcycle and Road Conditions on Traffic Safety on Jl. Holy-Pati Raya In this study, the research population is Traffic Safety on Jl. Raya Kudus-Pati with a sampling system with a total of 100 respondents (sample). The variables in this study consist of: the independent variable is Driver Discipline (X.1), Law Enforcement (X.2), and Motorcycle and Road Conditions (X.3) and the dependent variable is Traffic Safety (Y). The research model is multiple linear regression analysis. The results of the analysis with statistical tools SPSS V.16 program obtained multiple linear regression equation Y = 2.758 + 1.963 X1 + 0.171 X2 + 0.287 X3+ µ . The results of the multiple linear equations show that there is a positive and significant influence between Driver Discipline on Traffic Safety (t count 13.675> t table 1.98447), Law Enforcement on Traffic Safety (t count 1.292 > t table 1.98447), Motor and Road Conditions on Traffic Safety (t count 2.099 > t table 1.98447), individually, Rider Discipline, Law Enforcement, Motorcycle and Road Conditions affect Traffic Safety. The influence of the three research variables is very strong with the coefficient value (R Square) obtained by 71% on Traffic Safety and 29% is influenced by variables that are not detected in this study.

Tujuan penelitian ini adalah untuk mengetahui tentang Pengaruh Gaya Kepemimpinan, Lingkungan Kerja dan Komunikasi Terhadap Kinerja Pegawai KPPBC TMP A Semarang. Populasi yang digunakan adalah 61 pegawai Kantor Pengawasan dan Pelayanan Bea dan Cukai (KPPBC) Tipe Madya Pabean A Semarang. Penentuan sampel ini menggunakan teknik sensus random sampeling. Jumlah sampel yang digunakan dalam penelitian ini sejumlah 61 pegawai. Alat analisis data penelitian ini menggunakan regresi linier berganda. Hasil penelitian menunjukkan bahwa gaya kepemimpinan berpengaruh positif terhadap kinerja pegawai. Hal ini ditunjukkan nilai t hitung lebih besar dari t table yaitu 2,725 > 1,672, dengan nilai sig. sebesar 0,009 < 0,05 (signifikan). Lingkungan kerja berpengaruh positif terhadap kinerja pegawai. Hal ini ditunjukkan nilai t hitung sebesar 4.451 > 1,672, dengan nilai sig. sebesar 0,000 < 0,05 (signifikan). Komunikasi berpengaruh positif terhadap kinerja pegawai. Hal ini ditunjukkan nilai t hitung yaitu sebesar 2.316 > 1,672, dengan  nilai  sig. sebesar 0,004 < 0,05 (signifikan). Hasil analisis regresi linier berganda diperoleh persamaan Y =  0,285X1 + 0,444X2 + 0,242X3 + e. Besarnya β1 = 0,285 (bertanda positif) dengan signifikansi 0,009 artinya semakin tinggi gaya kepemimpinan yang diberikan, maka akan mempengaruhi tinggi rendahnya kinerja pegawai. Besarnya β2 = 0,444 (bertanda positif) dengan signifikansi 0,000 artinya semakin tinggi lingkungan kerja pegawai, maka akan semakin tinggi kinerja pegawai. Besarnya β3 = 0,242 (bertanda positif) dengan signifikansi 0,004 artinya semakin tinggi komunikasi, maka akan semakin tinggi kinerja pegawai.

Hypertension is one of the most common cardiovascular diseases experienced by people with an increasing number of cases. and the purpose of this study was to describe the incidence of hypertension in the elderly in Hitu Village, Leihitu District, Central Maluku Regency. This study used a descriptive analytic research design, in which the researcher made direct observations on the respondents and distributed questionnaires using a descriptive approach to describe the incidence of hypertension in Hitu Village. The population in this study amounted to 23 respondents with the sampling technique that is total sampling and the samples found amounted to 23 respondents. Data analysis was carried out in the form of univariate analysis which was carried out using a computerized process and presented in the form of tables and narratives. The results of the study showed that many respondents were 60-65 years old, 34.8% In terms of gender, it was found that many respondents were women, totaling 17 respondents or with a percentage of 73.9%. In the last education respondents had the last education was SD as many as 18 respondents (78.3%). In the respondents who had a family history, that is, they did not have a family history of hypertension, as many as 13 respondents (56.5%). In terms of job characteristics, it can be seen that many respondents have jobs as IRT as many as 21 respondents (95.6%). It was concluded that the characteristics that best describe the incidence of hypertension in the elderly in this study were the respondent's gender, education and occupation.    

The purpose of this study was to determine the effect of work discipline, work attitude and job satisfaction on employee performance at PT. Nusa Jaya Farma Indonesia. The population of this study are employees of PT. Nusa Jaya Farma Indonesia, which has a total of 778 employees. The samples were taken using a random sampling technique, namely a number of 89 respondents. This research data analysis tool uses multiple linear regression. The results showed that job satisfaction has a positive effect on employee performance. This is shown by the value of t count is greater than t table, namely 2.246 > 1.664 with a sig value smaller than alpha, namely 0.027 <0.05, so it is significant. The regression coefficient of work discipline (β1) has a positive sign of 0.211 which means that the better the work discipline, the higher the employee performance. Work attitude has a positive effect on employee performance. This is shown by the value of t count is greater than t table, namely 3.239 > 1.664 with a sig value smaller than alpha, namely 0.002 <0.05, so it is significant. The work attitude regression coefficient (β2) is positive at 0.302 which means that the higher the work attitude, the higher the employee's performance. Work discipline has a positive effect on employee performance. This is shown by the value of t count is greater than t table, namely 3.151 > 1.664 with a sig value smaller than alpha, namely 0.002 <0.05, so it is significant. The regression coefficient of job satisfaction (β3) is positive at 0.316 which means that the higher the job satisfaction, the higher the employee performance.

This research is motivated by the performance achievements of the employees of the Tanjung Emas Middle Type Customs and Excise Office of Supervision and Service Office which have not been achieved. The purpose of this study was to analyze the influence of Motivation (X1) and Competence (X2) on Employee Performance (Y) in the Customs and Excise Supervision and Service Office of the Middle Type of Customs Tanjung Emas. Descriptive analysis in this study uses the index number method. Determining the number of samples was calculated based on the slovin formula and obtained a sample of 71 employees from a total population of 248 employees. The sampling method uses simple random sampling technique. The results of the analysis show that motivation has no significant positive effect on employee performance. This is indicated by the calculated t value which is smaller than t table, namely 0.481 <1.667 (df = 68), with a significance value of 0.632 which is greater than α = 0.05. Motivation (β1) is positive at 0.042 which means that there is no effect of motivation on performance (not significant). The results of the analysis show that competence has a significant positive effect on employee performance. This is indicated by the calculated t value that is greater than t table, namely 8.028 > 1.667 (df = 68), with a significance value of 0.000 which is smaller than α = 0.05. Competence (β2) has a positive sign of 0.705 which means that the higher the competency, the higher the employee's performance (significant).

This research aims to find out the influence of discipline on employee performance in hospitals. Ibn Sina YBW Umi Makassar. The type of data used is qualitative and quantitative data, then the data source used, namely primary data and secondary data. The collected data is analyzed in a scriptive manner, meaning that the data obtained in the field is processed in such a way that it provides a systematic understanding, then statistical calculations are held with simple regression analysis, coefisen correlation coefficient of determination (r) and t-test, From the results of calculations obtained values of y = 17.51 + 0.63 x, while the value of correlation coefficient (r) of 0.527 and coefficient of determination (r2) of 27.77% and the remaining 22.23%  It is influenced by other factors that were not studied. While the results of the distribution are: t (t-table) = 2,034, from the calculation of the distribution t (thitung) = 3,562, so that it can be known t (thitung) > t table (3,562 > 2,034, so that Ha received and rejected H0, which means, discipline has a significant positive effect on employee performance in hospital. Ibn Sina YBW UMI Makassar.

Traffic accidents are influenced by several factors including human error, animals, weather, traffic signs. Of the four, have an influence on traffic accidents with satisfactory results. The purpose of this study was to determine whether there was an influence of Human error, Animals, Weather, and Traffic Signs on traffic accidents on the Denpasar-Gilimanuk highway, Jembrana Regency, Bali. In this study, the research population is motorized vehicle users who cross the Denpasar-Gilimanuk highway, Jembrana Regency by taking a sample system with a total of 93 respondents (samples). The variables in this study consisted of: Human error (X1), Animals (X2), Weather (X3), Traffic signs (X4) and the dependent variable was Traffic Accident (Y). The research model is multiple linear regression analysis. The results of the analysis using the statistical tool SPSS V.25 program obtained multiple linear regression equations Y = -1.530+0,313X1+0,227X2+0,258X3+0,318X4+µ. Shows that, based on empirical facts (the results of filling out the questionnaire) and multiple linear regression results show that the Human error variable (X1) has a t count of 3.680 and a t table of 1.98729 then H1 is accepted and significant, animals (X2) have a t count of 2,035 and t table of 1,98729 then H2 is accepted and significant, weather (X3) has a t count of 2.852 and t table of 1.98729 then H3 is accepted and significant, traffic signs (X4) has a t count of 4.618 and t table of 1.98729 then H4 is accepted and significant. In the coefficient of determination test (R Square) the Adjust R Square value of 0.633 means that 63.3% of the variation in the dependent variable of traffic accident factors can be explained by the independent variables of human error, animals, weather, traffic signs. While the remaining 36.7% is explained by other reasons outside the variables studied.

Sinar Sosro is a company that produces various beverage products. Product quality and brand equity in this company have been carried out well, in line with the development of market share and strong competition to always develop in making products that are attractive to consumers so that consumer satisfaction will always be well maintained.This type of research is a quantitative research. Collecting data in this study using the method of observation, interviews and questionnaires. The population of this study was 110, sampling used a combination technique of accidental sampling and purposive sampling, using the Slovin formula to get a sample of 88 respondents. The analysis uses multiple regression with the help of SPSS 22 software.Based on the results of this study there is a partial influence between the variable Product Quality (X1) on Consumer Satisfaction (Y) which is significant. we can conclude that t count, 5.292 > t table 1.988 and the significance value of the product quality variable is 0.000 < 0.05. This means that product quality (X1) partially influences consumer satisfaction (Y), so the hypothesis H0 is rejected. H1 is accepted. Based on the results of this study, there is a partial effect between Brand Equity (X2) and Consumer Satisfaction (Y). which is significant. We can conclude that t count is 4.251 > t table 1.988 and the significance value of Brand Equity is 0.000 <0.05. This means that Brand Equity (X2) partially influences Consumer Satisfaction (Y), so the hypothesis H0 is rejected and H2 is accepted. Based on the results of the study, there is a simultaneous (simultaneous) effect between the variables Product Quality (X1) and Brand Equity (X2) on Consumer satisfaction (Y). Statistical data analysis shows. The simultaneous significance value of Product Quality and Brand Equity is 0.000 < 0.05 and the calculated F value is 57.997 > F table 3.101. This means that Product Quality (X1) and Brand Equity (X2) simultaneously affect Consumer Satisfaction (Y), then the hypothesis H0 is rejected and H3 is accepted. Based on the output results of SPSS 22, there is a coefficient of determination or R square of 0.577 or 57.7% . This shows that the independent variables studied (product quality and brand equity) have a positive influence on consumer satisfaction by 57.7%. while the rest is influenced by other variables not studied.

Background: Hypertension has now become a global problem because its prevalence continues to increase along with lifestyle changes that include unhealthy habits. the aim is to find out a description of lifestyle in hypertensive patients in West Denpasar Health Center II. Method: The study design was descriptive with the Cross Sectional approach. The sample in this study were all hypertensive patients who were treated at the Denpasar Public Health Center II. The sampling technique is Acidental sampling with a sample of 46 respondents. The research instrument used was a questionnaire sheet. The results of data processing are presented in narrative form, frequency distribution tables are accompanied by interpretations. Results: Hypertension sufferers in West Denpasar Health Center II were 27 respondents (58.7%) who did not have the habit of consuming excess salt; 26 respondents (56.5%) who did not have coffee consumption habits; 34 respondents (73.9%) who did not have the habit of consuming liquor; 32 respondents (69.6) did not have smoking habits; 26 respondents (56.5%) respondents did not have enough hours of rest / sleep; respondents who do sufficient activities / sports; 46 respondents as many as 25 respondents (54.3%) obeyed taking drugs; 25 respondents (54.3%) did not routinely carry out tension control; 30 respondents (65.2%) faced maladaptive stressors. Conclusion: To reduce the incidence of hypertension in patients with hypertension, health promotion programs to the public regarding hypertension factors need to be optimized.Keywords: Hypertension; Lifestyle

Background: Level knowledge is the result sensing human or result know someone towards an object in oder to know different once with trust, superstition, and are fallible. Where as behavior is action or deed an organism observable even learning. Diabetes Mellitus is disease metabolic to characteristic of hiperglikemia which occurs because abnormality secretion insulin, work insulin or whether both research aims to know relations level knowledge by behavior diet in patiens diabetes mellitus in Polyclinic Internal in Rumah Sakit Tingkat II Udayana. Method: This research uses descriptive correlation design with cross sectional approach, the number of samples cases wholly is 30 respondents taken by means consecutive sampling. Analyzed data in bivariat by test spearman rho. Results: The result showed that most respondent having a level knowledge enough, namely 15 people (50,0%) and behavior diet enough, namely 17 people (56,7%). The result analysis bivariat obtained value p=0,000 < ? (0,05) with price r count (0,683) > r table (0,361). Conclusion: Concluded that a significant relation exists between the level of knowledge in patiens with the diet of diabetes mellitus, where by a level close correlation coefficient is a strong positive correlation.Key words: Knowledge; Behavior; Diabetes Mellitus

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 examine the influence of e-service quality on customer satisfaction of the Grab online application in Purworejo. In the research, the population was Grab users in the Purworejo Regency area. The number of Grab users is unknown and can be said to be in the infinite category. The sampling technique used is purposive sampling with the hope that the researcher will obtain a representative sample based on the specified criteria. So the total research sample was 97 people. Data analysis techniques use multiple linear regression analysis, determination test, t test and f test. The research results from the multiple linear regression line equation produce the equation Y=-4.136+0.888X1+0.262X2. The constant coefficient value obtained is -4.136. This means that if the value of the e-servicequality and price variables is equal to 0, then the level or magnitude of the customer satisfaction variable is -4.136. The e-service quality variable has a coefficient of 0.888. A value of 0.888 means that if the value of the e-service quality variable increases by 1 unit and other variables are considered constant, the level of customer satisfaction will increase by 0.888. The price variable has a coefficient of 0.262. A value of 0.262 means that if the value of the price variable increases by 1 unit and other variables are considered constant, the level of customer satisfaction will increase by 0.262. Determination analysis produces an Ajusted R Square of 0.837, this figure means that 83% of the level of customer satisfaction can be explained using the e-service quality and price variables. Meanwhile, the remaining 17% may be influenced by other variables that were not studied, for example company image, promotion and brand ambassador factors. The t test shows that the e-service quality variable shows that the calculated t is greater than the t table (12,636> 1,661). This means that hypothesis 1 (H1) proposed that partially there is a significant influence between e-service quality on customer satisfaction is accepted and Ho is rejected. The price variable obtained by t calculated is greater than t table (3267 > 1,661). This means that hypothesis 2 (H2) proposed that partially there is a significant influence between price on customer satisfaction is accepted and Ho is rejected. The f test shows that F count > F table or (247,816 > 3.09) which means Hypothesis 3 (H3) which states that simultaneously there is a significant influence between e-service quality and price on customer satisfaction is accepted and Ho is rejected. 

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 

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). 

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. 

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.  

This study aims to examine "Analysis of the influence of dissatisfaction, product attributes, and the need for variation, on the switching of the Asus brand ". This data research used a questionnaire with a scale of 1-5 with a sample of 96 respondents. This sampling technique uses a non probability sampling with technique  purposive sampling . The data obtained were then analyzed with the SPSS . The results of this study partially (1) Dissatisfaction has a positive and significant effect on brand switching based on the value of t count > t table that is 3.575 > 1.662 with a significant 0.001 < 0.05. (2) Product attributes have a positive and significant effect on brand switching based on the value of t count > t table, namely 2.362 > 1.662 with a significant 0.002 < 0.05. (3). The need to look for variations has a positive and significant effect on brand switching based on the t count > t table, namely 6.472 > 1.662 with a significant 0.000 <0.05. (4) Simultaneously, dissatisfaction, product attributes, and the need for variation have a positive and significant effect on brand switching. Based on the calculated F value < F table that is 111.918> 3.945 with a significant 0.000 <0.005. Based on Adjusted R Square that is equal to 0.778. In this case, it means that 77.8% of the variation in the brand switching variable is explained by the variables of dissatisfaction, product attributes, and the need to seek variation. Meanwhile, the remaining 22.2% is explained by other variables outside the model

Snail Gong-gong (Strombus Turturella) is a typical food of the people of Riau Islands. The processed food produces the waste of a well-utilized shell. The main composition of the gong-gong slug is calcium carbonate (CaCO3). With the content of calcium, the waste shell of gong-gong can be used as raw material for the preparation of pharmaceutical preparations such as suction tablets. This study aims to obtain the formulation of a lozenges from the waste of gong-gong shell with good physical properties. A lozenges is made by a method of wet granulation in three formulas with variations in the concentrations of the case of the F1 gong-gong 15%, F2 30%, and F3 45%. The granules and tablets are evaluated. The results of the granule evaluation showed that the granule produced from the three formulas has fulfilled the requirements, the results of the tablet evaluation showed on organoleptic test, size uniformity, hardness, disintegration time of all three formulas have fulfilled good lozenges requirements. While the weight uniformity of F1 is not eligible, the friability test F1 and F2 are not eligible. The results of this study showed that the gong-gong snail shells can be formulated into a lozenges and have good physical properties.