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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika
Putji Alfayulanda
Universitas Negeri Padang
Decision Sciences, Operations Research & Management Education Mathematics

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PENERAPAN ANALISIS REGRESI LOGISTIK BINER PADA FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN MAHASISWA BERBELANJA ONLINE DI TIKTOK Putji Alfayulanda; Dewi Murni
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.547

Abstract

TikTok is a widely popular application among people of all age groups, from the young to the elderly. Students frequently utilize TikTok as a platform for online shopping, and there are numerous factors influencing their decisions. The research aims to construct a binary logistic regression equation model to determine the significant factors. The study population consists of all students from the Department of Mathematics who enrolled in 2022. The research sample comprises 71 respondents. The dependent variable (Y) in this study is the decision to shop on TikTok, and the independent variables (X) are trust (X1), service quality (X2), product diversity (X3), promotions (X4), security (X5), and price (X6). The research results indicate a binary logistic regression model as follows: π(x)=e^((13.012-1.679X_(2.1)-1.663X_(5.4)))/(1+e^((13.012-1.679X_(2.1)-1.663X_(5.4))) ) , where the service quality variable (X2) and security (X5) significantly influences the decision to shop online on TikTok
Co-Authors Dewi Murni