Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal ComTech: Computer, Mathematics and Engineering Applications
W., Henry Antonius E.
Unknown Affiliation
Computer Science & IT Engineering Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Kepuasan Mahasiswa terhadap Implementasi E-CRM pada Binus University Meyliana, Meyliana; W., Henry Antonius E.; Santoso, Stephen W.
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2422

Abstract

Education industry is a service enterprise that has its unique characteristics. Thus, the implementation of e-CRM in education institutions and other service companies is different. The research methodology uses variables Pre-Purchase, At-Purchase, Post-Purchase, e-Trust, e-Satisfaction and e-Loyalty, where the hypothesis was tested by correlation analysis and regression analysis. Besides, it also uses IPA (Importance Performance Analysis) to identify factors to be improved by calculating the gap analysis. The test results obtained show that based on the correlation analysis, all the H1hypotheses (has relationship) are accepted and based on the regression analysis, all the hypotheses H1 (has effects) is accepted. Under the IPA, for both increases in the first priority and second priority, all the variables need to be improved.
Persepsi Pelanggan terhadap Online Branding pada Website Binus University Meyliana, Meyliana; W., Henry Antonius E.; Santoso, Stephen W.
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 2 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i2.2312

Abstract

Implementation of e-marketing or digital marketing help companies compete in the free market. For that, the company needs to obtain information about the customer perception in assessing e-marketing or its digital marketing (website). The research uses digital marketing framework method that consists of several variables, such as attract, engage, retain, learn, relate and online branding in which the hypothesis is tested by correlation analysis and regression analysis. Based on correlation analysis, all the hypotheses of H1 is received (related) and based on regression analysis, all the hypotheses H1 is accepted (effectible).
Co-Authors Meyliana Meyliana Stephen W. Santoso, Stephen W.