Analysis of Linear Regression Level of Customer Satisfaction New Smartphone Purchase Decisions
Main Article Content
Abstract
Smartphone technology is currently implementing the latest and most comprehensive technology, which in addition to this technology also allows you to do many things such as making video conferences, playing e-sport games, and other transactions. Research conducted by the author uses the SPSS Ver.22 application program to report the data obtained by distributing questionnaires to 80 respondents who will buy or have used new smartphone products. After the analysis is carried out, the results obtained from the independent variables are based on brand (X1), price (X2), product specifications (X3), design (X4), and together have a positive effect on the related variables, namely the purchase decision (Y), so that the following equation is obtained: Y = 7.244 - 0.012X1 + 0.210X2 + 0.464X3 - 0.003X4.
Downloads
Article Details
[2] Kotler, Philip and Armstrong G. 2008. Principles of Marketing. Volume 1 Edition 12. Jakarta: Erlangga.
[3] Kotler, Philip and Kevin Lane Keller. 2007. Marketing Management. 12. Jakarta Edition: Index.
[4] Maturidi, Ade Djohar. 2014. Informatics Engineering Research Methods. Yogyakarta: Deepublish.
[5] Mayasari, Hesti. 2012. Analysis of Smartphone Purchasing Behavior (Smartphone): Between Consumer Needs and Lifestyle in the City of Padang. ISSN 2086-5013. Padang: Journal of Management and Entrepreneurship. Vol, 3, No. 1. January 2012: 93-120.
[6] Priyatno, Duwi. 2014. SPSS 22: Practical Data Manager. Andi: Yogyakarta.
[7] Tjiptono, Fandy. 2008. Marketing Strategy: Edition 3. Yogyakarta: Andi Offset.
[8] Sangadji, Etta Mamang. 2010. Research Methods Practical Approaches in Research. Yogyakarta: Andi.
[9] Sugiyono. 2008. Qualitative and Quantitative Research Methods R & D. Bandung: Alfabeta.
[10] Sumarwan, Ujang. Retnaningsih and Hanisa Ramina Fitriyana. 2010. Analysis of Laptop Brand Equity in Bogor Agricultural University Students. ISSN 1907-6037. Bogor: Journal of Family and Consumer Science. Vol. 3, No. 2.August 2010: 190-19

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.