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Toni Yoyo
University Buddhi Dharma
Economics, Econometrics & Finance

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The Effect Of Promotion, Price, And Quality Of Service In Decision Making Using Online Transportation Toni Yoyo; Georgius Listen
eCo-Fin Vol. 2 No. 3 (2020): eCo-Fin
Publisher : Komunitas Dosen Indonesia

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Abstract

The results of the study show that the variables of promotion, price and service quality have a significant influence on decision making on online transportation. The equation Y = 5.709 + 0.072X1 - 0.022X2 + 0.845X3, which means that if there is an increase or decrease in promotion of 1 point, decision making will increase or decrease by 0.072 and if there is an increase or decrease in service quality by 1 point, decision making will experience an increase or decrease in service quality. increase or decrease by 0.022. And if there is an increase or decrease in the price of 1 point, the decision making will increase or decrease by 0.845. From the results of the analysis of the influence of promotion, promotion, service quality factors in making decisions using online transportation, it is known that promotion has a positive and strong correlation to decision-making that is equal to 0.739, price has a positive and strong correlation to decision-making of 0.654 and service quality has a correlation which is positive and very strong on decision making of 0.942. And the results of the coefficient of determination between promotion, price and service quality in decision making, it was found that promotions influenced decision making by 54.6%, the remaining 45.4% was influenced by other factors. promotions and prices affect decision making by 56.5%, the remaining 43.5% is influenced by other factors. and promotion, From the annova test, the Fcount for model 1 is 117.718 with a significant level of 0.000. Where the number 0.000 < 0.05 and also Fcount > Ftable or 117.718 > 3.09, thus ho is rejected and ha is accepted. From the annova test, Fcount for model 2 is 63.051 with a significant level of 0.000. Where the number 0.000 < 0.05 and also Fcount > Ftable or 63.051 > 3.09, thus ho is rejected and ha is accepted. From the results of the annova test, Fcount for model 3 is 265.552 with a significant level of 0.000. Where the number is 0.000 < 0.05 and also Fcount > Ftable or 265.552 > 3.09, thus ho is rejected and ha is accepted. This proves that there is a significant influence between promotion, price and service quality in making decisions using online transportation.
Analysis of Store Location and Atmosphere the Effect on Consumer Purchase Interest at Centro Department Store Toni Yoyo; Nana Sutisna; Berlin Silaban
eCo-Fin Vol. 1 No. 3 (2019): Accumulation
Publisher : Komunitas Dosen Indonesia

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Abstract

This study aims to determine the analysis of the location and atmosphere of the store and its influence on consumer buying interest at the Centro Department Store. The sample in this study amounted to 100 respondents are all consumers who shop at the Centro Department Store. Data was collected through questionnaires, and data processing in this study used SPSS version 23.0. The sampling technique used is probability sampling with random sampling method. The research model used is a descriptive research model which describes systematically and accurately about the factors studied. The results of data processing obtained a multiple linear equation Y = 10.104 + 0.426 X1 + 0.363 X2, meaning that for every 1 point increase or decrease in location, consumer buying interest at the Centro Department Store will increase or decrease by 0.426 and each increase or decrease If the store atmosphere decreases by 1 point, then consumer buying interest at the Centro Department Store will increase or decrease by 0.363. In addition to calculating the relationship between the independent variable and the dependent variable, this study also calculated the relationship between variables. The correlation between location and consumer buying interest is 0.426, the correlation between store atmosphere and consumer buying interest is 0.363, it can be said that the relationship between the three variables is quite strong and positive. From the results of the F test, model 1 obtained a value of 249.862 and model 2 obtained a value of 143.897, where the value is greater than the F table of 3.09, then H0 is rejected and Ha is accepted. From the results of the t test, it was found that the location count was 3.456, and the store atmosphere t was 3.377, where the value was greater than the t table 1.66055, then H0 was rejected and Ha was accepted, meaning that there was a significant relationship between the location and the shop atmosphere on consumer buying interest
Co-Authors Berlin Silaban Listen, Georgius Nana Sutisna