This study uses a causal model survey method using path analysis techniques, based on the reasons this study aims to confirm the theoretical model with empirical data, the study population is employees of the Riau Islands Province Secretariat Public Relations Protocol Bureau, which consists of employees with a sample of 174 employees, because the population limited from all members of the sample population so this study uses saturated samples taken through census techniques using proportional random sampling when collecting technical data using variable measurements using a questionnaire instrument in which each employee is given five questionnaire instruments for the source of the measurement variables studied In addition to research instruments that use questionnaire, the instrument was developed based on theoretical studies, then defined in conceptual definitions, operational definitions, and developed through lattice instruments and technical techniques. Knitted data analysis uses descriptive statistics and statistical analysis to test the significance of path coefficients, descriptive statistics to present data in the form of frequency distribution tables, histograms, and total statistics such as media, modes, averages, variants, and foreign exchange standards. Statistical tests are used to test the significance of path coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the second generation using structural equation modeling (SEM). PLS can be used for a small number of samples, and of course with a large number of samples will be better able to improve the accuracy of estimates. PLS does not require the assumption that data distribution must be normal or not. The construct form can use a reflective or formative model in which from the results of statistical analysis, the relationship between variables formulated in the formulation of a problem as many as 7 pieces obtained significant results.

Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis pengaruh Product Quality (X1), Price Perception (X2) dan Brand Promotion (X3) terhadap Consumer Buying Interest (Y) di Batam. Metode penelitian yang digunakan adalah metode kuantitatif dan metode analisis data yang digunakan adalah multiple linear regression analysis dengan menggunakan bantuan program SPSS 25.0. Populasi dalam penelitian ini adalah pelanggan Aqua di Batam. Dengan menggunakan formula Slovin kami memperoleh sampel 100 konsumen. Hasil pengujian hipotesis menunjukkan bahwa Kualitas Produk memiliki pengaruh yang signifikan terhadap Minat Beli Konsumen, Persepsi Harga berpengaruh signifikan terhadap Minat Beli Konsumen dan Promosi Merek berpengaruh signifikan terhadap Minat Beli Konsumen dan Promosi Merek berpengaruh signifikan terhadap Minat Beli Konsumen. Berdasarkan uji statistik regresi linier berganda, koefisien determinasi (R2) adalah 0,290, artinya 29% variabel Kualitas Produk, Persepsi Harga, dan Promosi Merek mempengaruhi Minat Beli Konsumen.

This study, researchers used respondent data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. The study population was employees at Batam University, which consisted of dosons and employees. The sample is determined by the number of sample members (sample size) of 60 people by proportional random sampling technique. 20 lecturers and 40 Batam university employees. This research is the result of a field study to obtain questionnaire answer data that measures five main variables in this study, namely Emotional Intelligence, Self-Efficiency, Working Spirit, Work Satisfaction to work achievement of Batam University employees. The instrument was developed based on theoretical studies, then defined in conceptual definitions, operational definitions, and developed through lattice instruments and technical techniques. Knitted data analysis uses descriptive statistics and statistical analysis to test the significance of path coefficients, descriptive statistics to present data in the form of frequency distribution tables, histograms, and the number of statistics such as media, modes, averages, variants, and foreign standards. exchange. Statistical tests are used to test the significance of path coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the second generation using structural equation modeling (SEM). PLS can be used for a  small number of samples, and of course with a large number of samples will be better able to improve the accuracy of estimates. PLS does not require the assumption that data distribution must be normal or not. The construct form can use a reflective or formative model in which from the results of statistical analysis, the relationship between variables formulated in the formulation of a problem as many as 7 pieces obtained significant results.

In this study, researchers used respondent data, such as gender, age and duration  of work of respondents to be able to provide information about the characteristics of  respondents. The study population was employees in the Hj. Bunda Halimah hospital,  which consists of doctors and health workers such as nurses, midwives and administrative  staff. The sample is determined by the number of sample members (sample size) 55 people with proportional random sampling technique. 15 doctors and 40 health  employees. This research is the result of a field study to obtain questionnaire answer data  that measures five main variables in this study, namely Transformational Leadership,  Work Culture, Work Facilities, Job Satisfaction towards Performance in The Hj Bunda Halimah Hospital. The instrument was developed based on theoretical studies, then  defined in conceptual definitions, operational definitions, and developed through lattice  instruments and technical techniques. Knitted data analysis uses descriptive statistics and  statistical analysis to test the significance of path coefficients, descriptive statistics to  present data in the form of frequency distribution tables, histograms, and the number of  statistics such as media, modes, averages, variants, and foreign standards. exchange.  Statistical tests are used to test the significance of path coefficients using Partial Least  Square (PLS) which is a Multivariate Analysis in the second generation using structural  equation modeling (SEM). PLS can be used for a small number of samples, and of course  with a large number of samples will be better able to improve the accuracy of estimates.  PLS does not require the assumption that data distribution must be normal or not. The  construct form can use a reflective or formative model in which from the results of  statistical analysis, the relationship between variables formulated in the formulation of a  problem as many as 7 pieces obtained significant results.