TY - JOUR
AU - Nurul Rahmi Fadilla,
AU - Uhud Darmawan Natsir,
AU - Ilham Wardhana Haeruddin,
AU - Siti Hasbiah,
AU - Zainal Ruma,
PY - 2023/05/05
Y2 - 2024/04/16
TI - THE INFLUENCE OF LOCATION AND SERVICE QUALITY ON CONSUMER PURCHASE DECISIONS AT BUSINESS UNIT KOPMA “ALMAMATER” UNM
JF - Journal of Economics,Education,Business and Managements
JA - JEEBM
VL - 1
IS - 2
SE - Articles
DO -
UR - http://pemudin.com/index.php/JEEBM/article/view/10
SP - 119-132
AB - <p>The aim of the study was to determine the effect of location and service quality on consumer purchasing decisions made at one of the UNM "Alma mater" Kopma business units, namely Kopma Store 1. This study used a sample of 50 Kopma Store 1 consumers who had made a purchase. Data collection was carried out by questionnaires, interviews, documentation and observation. The data analysis techniques used are validity test, reliability test, classic assumption test, multiple linear regression analysis, hypothesis testing, and R determinant test. After processing the data using IBM SPSS 25, the results show that there is a partial or simultaneous influence between the variables. independent with the dependent variable as evidenced by the results of the location variable t test (X1) where the Tcount value is 3,120 > Ttable 2. 011 and a significance probability of 0.003 <0.05 and variable (X2) which has a Tcount of 8492 > Ttable 2011 and a significance probability of 0000 <0.05. Simultaneously obtained based on the results of the F test where the value of Fcount = 81,931 > Ftable = 3.20 and a significant probability of 0.000 <0.05 with a multiple linear regression equation, namely: Y = 5.071 + 0.213X1 + 0.472X2. The determinant value of r is 0.768. The most dominant variable influencing the decision is the service quality variable of 0.472. 0.05 with a multiple linear regression equation, namely: Y = 5.071+0.213X1+0.472X2. The determinant value of r is 0.768. The most dominant variable influencing the decision is the service quality variable of 0.472. 0.05 with a multiple linear regression equation, namely: Y = 5.071+0.213X1+0.472X2. The determinant value of r is 0.768. The most dominant variable influencing the decision is the service quality variable of 0.472.</p>
ER -