This Author published in this journals
All Journal JEBD
Muhammad Fany Panerus
Universitas Pamulang

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Pengaruh Content Marketing, Social Media Marketing, dan Electronic Word Of Mouth Terhadap Keputusan Memilih Universitas Pamulang pada Calon Mahasiswa Baru (Studi pada Calon Mahasiswa Baru Universitas Pamulang) Rahmat Firmansyah; Ilham Sanusi; Muhammad Fany Panerus; Arief Saepudin; Danil Fadilah; Rifkhan Rifkhan
Jurnal Ekonomi dan Bisnis Digital Vol. 4 No. 1 (2026): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study examines the effect of Content Marketing (X1), Social Media Marketing (X2), and Electronic Word of Mouth (X3) on the decision of prospective new students to choose Universitas Pamulang (Y). A quantitative explanatory approach was used with 60 respondents selected through purposive sampling, analyzed using IBM SPSS. All questionnaire items were valid (Pearson correlation 0.670-0.892, above the r-table value of 0.196) and reliable (Cronbach's Alpha 0.723-0.827). The classical assumption tests confirmed that the data were normally distributed, free of multicollinearity, free of heteroscedasticity, and free of autocorrelation. The multiple linear regression equation obtained is Y = 0.771 + 0.174X1 + 0.131X2 + 0.419X3. Partial tests (t-test) show that Content Marketing (t = 1.571, p = 0.122) and Social Media Marketing (t = 1.795, p = 0.078) do not significantly affect college choice decisions, while Electronic Word of Mouth (t = 3.856, p < 0.001) has a positive and significant effect and emerges as the most dominant predictor. Simultaneously (F-test), F = 27.881 (p < 0.001), confirming that the three variables jointly influence the decision. The coefficient of determination R2 = 0.599 (Adjusted R2 = 0.577) indicates that 59.9 percent of the variance in college choice decisions is explained by the three variables, while the remaining 40.1 percent is explained by other factors outside the model.