PENGARUH PESAN KAMPANYE “AGAINST ANIMAL TESTING” TERHADAP PERSEPSI MAHASISWI (Studi Pada Mahasiswi Ilmu Komunikasi UMM Angkatan 2015)
| Main Author: | Amalia, Nadya Nursya |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/46243/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/46243/2/BAB%20I.pdf http://eprints.umm.ac.id/46243/3/BAB%20II.pdf http://eprints.umm.ac.id/46243/4/BAB%20III.pdf http://eprints.umm.ac.id/46243/5/BAB%20IV.pdf http://eprints.umm.ac.id/46243/6/BAB%20V.pdf http://eprints.umm.ac.id/46243/7/BAB%20VI.pdf http://eprints.umm.ac.id/46243/8/LAMPIRAN.pdf http://eprints.umm.ac.id/46243/ |
Daftar Isi:
- About 80% of cosmetics companies around the world are still experimenting products with animals. Then The Body Shop as a company that cares about social issues, make a social campaign named “Against Animal Testing. This campaign use petition which is distributed in our common social media, include official website of The Body Shop. The campaign was successfully carried out in collaboration with the United Nations so that it could be implemented throughout the world. So, this research wanted to know about the effect of Against Animal Testing in The Body Shop’s website on the perceptions of female students. Variable X is the message of the campaign “Against Animal Testing” and variable Y is the perception of female students. The population in this study was the 2015 class of UMM Communication Science students who knew about the campaign; 102 people. Then the sample is 50 people. Data collection technique; questionnaire (Random Sampling). Test instruments using validity and reliability tests. While the data analysis technique uses simple linear regression and hypothesis testing. Coefficient against animal testing (X) is positive at 0.157. From the analysis obtained the results of R square (coefficient of determination) is 0.071. R value (correlation coefficient) is 0.266, the correlation shows the relationship between the campaign message against animal testing (x) with the perception of female students (y) included in the weak category. While t table (α = 0.10; df = 48) is 1.299, because t count > t table that is 1,910> 1,299 or the value of sig t (0,062) < α = 0,10 then the effect of X (campaign message against animal testing) on Y (perception of female students) is significant. From the analysis above, this research concludes that 7.1% of the female students perception (Y) will be effected by the independent variable, which is the campaign message Against Animal Testing (X). Then 92.9% of the female students perception (y) will be influenced by other variables. So there is a positive, weak and significant effect between the variable X, the Message of Against Animal Testing, to the variable Y, the Perception of Female Students.