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Suatu Kajian Empiris tentang Pengaruh Evaluasi Dimensi Kualitas Produk Tahan Lama Terhadap Perilaku Niat Membeli Kembali Charles Makmur Sianturi
JURNAL ILMIAH KOHESI Vol 2 No 4 (2018): JURNAL ILMIAH KOHESI
Publisher : LP2MTBM MAKARIOZ

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.586 KB)

Abstract

Intention to purchase has been the focus of researchers for long time but the study on intention to repurchase is very few.The purpose of this study to test empirically the effects of quality on intention to repurchase of durable good. For this research intention to repurchase is defined as the willing of consumers to buy and to consume a certain product after having experiences of the product. According to the purpose of the study eight dimensions of quality is measured by Likert scale in relation to intention to repurchase. Data is collected by survey research with self administered questionnaires. The number of respondents is targeted for one hundred, consist of student at one of the private universities in Medan who has only one cell phone as the object of the research. Multiple regression analysis is applied to test the effect of quality on intention to repurchase of durable goods. The coefficients of multy regression shown each of eight dimensions of quality has positif coeffisiens and significant. Based this analysis can be concluded that quality has significant effects on intention to repurchase of durable goods.
Public Perceptions of Digital Banking Service Quality and the Relationship on Customer Satisfaction in Medan City, Indonesia Charles Makmur Sianturi; Anthasia Grace br Gultom
Golden Ratio of Mapping Idea and Literature Format Vol. 6 No. 1 (2026): July - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmilf.v6i1.1637

Abstract

This study aims to empirically examine the effect of the quality of digital banking services on customer satisfaction in Medan City. This research employs a quantitative approach, with customer satisfaction as the dependent variable and the dimensions of service quality—namely time efficiency, convenience, high accuracy, security, and reliability—as the independent variables. The sampling method used is non-probability sampling, with the sample size determined using a quota sampling technique. Data were measured using a Likert scale and collected through the distribution of questionnaires. The analysis method used is multiple regression analysis, accompanied by classical assumption testing using SPSS version 26. The results of the analysis show that all independent variables have positive and significant regression coefficients. Therefore, it can be concluded that the independent variables—time efficiency, convenience, high accuracy, security, and reliability—positively influence customer satisfaction, with the convenience variable having the strongest effect among them.