Luxury: Landscape of Business Administration

The Effect of Service Quality and Price on Consumer Satisfaction at Ayam Penyet Ria Restaurant on Jl. Jendral Sudirman Pekanbaru

Dessy Andriani — 2024-07-31

The purpose of this study was to determine the effect of service quality and price on customer satisfaction at Ayam Penyet Ria Restaurant, Jl. Jendral. Sudirman Pekanbaru. The sample in this study was 100 consumers. Data analysis used was validity test, reliability test, classical assumption test, multiple linear regression, hypothesis test and determination coefficient test. Based on the results of the study, it is known that through partial test (t-test) there is a significant effect of service quality on customer satisfaction with the test results known t count (2.048) > t table (1.984) and Sig. (0.000) < 0.05. There is a significant effect of price on customer satisfaction with the test results known t count (3.724) > t table (1.984) and Sig. (0.000) < 0.05. Simultaneously shows that service quality (X1) and price (X2) together affect customer satisfaction at Ayam Penyet Ria Jl. Jendral. Sudirman Pekanbaru with the test results known Fcount (324.507) > Ftable (3.09) with a significance of 0.000 < 0.05. In terms of the determination coefficient, the service quality and price variables have an influence of 87.3% on consumer satisfaction while the remaining 12.7% is explained by other factors not studied by the author.

The Influence of Location on Purchasing Decisions at Indomaret Pasar Minggu in Tapung, Kampar Regency, Riau

Yusnidar Yusnidar — 2024-07-31

The purpose of this study was to determine the effect of location on purchasing decisions at Indomaret Pasar Minggu, Tapung District, Kampar Regency, Riau. The sample in this study was 96 consumers. The data analysis used was validity test, reliability test, normality test, heteroscedasticity test, simple linear regression, determination coefficient test and hypothesis test (t-test). Based on the results of the study, it is known that the overall location variable determination coefficient has an influence of 44.9% on purchasing decisions, while the remaining 55.1% is influenced by other factors not studied by the author. The results of the hypothesis test show t count (8.746)> t table (1.985) with sig 0.000 <sig 0.05, so it can be concluded that there is a significant influence on Location on Purchasing Decisions at Indomaret Pasar Minggu, Tapung, Tapung Regency, Kampar Riau.

The Influence of Promotion and Price on Product Purchasing Decisions at XL Center Pekanbaru

Vira Pertiwi — 2024-07-31

The purpose of this study was to determine the effect of promotion and price on purchasing decisions at XL Center Pekanbaru. The sample in this study was 100 consumers. Data analysis used was validity test, reliability test, classical assumption test, multiple linear regression, hypothesis test and determination coefficient test. Based on the results of the study, it is known that through partial test (t-test) there is a significant effect of promotion on purchasing decisions with the test results known t count (2.377) > t table (1.984) and Sig. (0.000) < 0.05. There is a significant effect of price on purchasing decisions with the test results known t count (11.096) > t table (1.984) and Sig. (0.000) < 0.05. Simultaneously shows that Promotion (X1) and Price (X2) together influence Purchasing Decisions at XL Center Pekanbaru with the test results known Fcount (76,678) > Ftable (3.09) with a significance of 0.000 < 0.05. In terms of determination coefficient, the promotion and price variables have an influence of 61.3% on purchasing decisions while the remaining 38.7% is explained by other factors not studied by the author.

Use of AI-based Banking Applications for Customer Service

Achmad Tavip Junaedi — 2024-07-31

This paper explores the state-of-the-art advancements in AI-based banking applications and their impact on customer service, focusing on their capabilities, benefits, and potential challenges. The descriptive qualitative method is used to examine real-world applications of AI in banking, focusing on their operational mechanisms and influence on customer experiences. The data analysis process involves the following steps: Thematic Analysis, Comparative Analysis, and Content Analysis. AI technologies such as chatbots, virtual assistants, and fraud detection systems enhance operational efficiency, provide personalized experiences, and improve security in banking. AI-based banking applications have significantly enhanced customer service by improving operational efficiency, personalization, and security, leading to higher customer satisfaction. Future research can investigate frameworks for ensuring fairness, transparency, and accountability in AI-driven customer service systems.