scholarly journals Pengaruh Iklan Media Sosial Dan Word Of Mouth Terhadap Keputusan Pembelian

Prologia ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 307
Author(s):  
Jecky Jecky ◽  
Rezi Erdiansyah

This study aims to determine the effect of advertising on social media and word of mouth on purchasing decisions using a quantitative descriptive approach. Researchers took samples using google form with a total of 145 respondents who were distributed via social media. Data analysis was conducted by researchers using the program of statistical product and service solutions (SPSS) version 15. Based on the results of the research that has been obtained and has been explained by the author regarding advertising on social media and word of mouth on purchasing decisions. It is known that the coefficient of determination in the R Square table is 0.475, indicating that 47.5% of purchasing decisions are influenced by advertising on social media and the word of mouth. It is known that the correlation coefficient value of 0.60-0.799 means that advertising on social media and Word of Mouth has a strong relationship to purchasing decisions. then from the results obtained, the authors can provide several conclusions. The conclusion is that advertising on social media and word of mouth has a positive and significant effect on purchasing decisions.Penelitian ini bertujuan untuk mengetahui pengaruh Iklan Media Sosial dan word of mouth  terhadap Keputusan Pembelian dengan menggunakan pendekatan deskriptif kuantitatif. Peneliti mengambil sampel dengan menggunakan google form dengan total 145 responden yang di sebarkan melalui media sosial. Analisis data yang dilakukan peneliti menggunakan program statistical product and service solutions (SPSS) versi 15. Berdasarkan hasil penelitian yang telah diperoleh dan telah dijelaskan oleh penulis mengenai Iklan Media Sosial dan word of mouth terhadap keputusan pembelian. Diketahui bahwa nilai koefisien determinasi pada tabel R Square sebesar 0.475 menunjukkan bahwa 47,5% keputusan pembelian dipengaruhi oleh Iklan Media Sosial dan Word of Mouth. Diketahui bahwa nilai koefiesien korelasi 0,60-0,799 artinya Iklan Media Sosial dan Word of Mouth  mempunyai hubungan yang kuat terhadap keputusan pembelian. maka dari hasil yang didapat tersebut penulis dapat memberikan beberapa kesimpulan. Kesimpulannya adalah Iklan Media Sosial dan Word of mouth memiliki pengaruh positif dan signifikan terhadap keputusan pembelian.

Prologia ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 142
Author(s):  
Willy Willy ◽  
Riris Loisa ◽  
Sisca Aulia

Over time, more and more flower shops can be accessed offline and online. La Madame Florist Florist utilizes word of mouth in attracting the attention of consumers. So this study aims to determine the effect of word of mouth on the purchasing decision of the La Madame Florist brand flower by using a quantitative descriptive approach. Researchers took a sample of La Madame Florist buyers using Google forms with a total of 100 respondents distributed via social media. Data analysis was conducted by researchers using statistical products and service solutions (SPSS) version 15. It is known that the coefficient of determination in the R Square table of 0.246 shows that 24.6% of purchasing decisions are influenced by word of mouth. It is known that the coefficient of Word of Mouth correlation has a strong enough relationship to the purchase decision and is positive because it is between the intervals of 0.40 - 0.599. then from the results obtained, the writer can provide some conclusions. The conclusion is that Word of mouth has a positive and significant influence on purchasing decisions at La Madame Florist.Seiring perkembangan waktu, semakin banyak toko bunga yang dapat diakses secara online selain dengan metode penjualan offline. Toko Bunga La Madame Florist memanfaatkan word of mouth dalam menarik perhatian konsumen. Penelitian ini bertujuan untuk mengetahui pengaruh word of mouth terhadap keputusan pembelian bunga merek La Madame Florist dengan menggunakan pendekatan deskriptif kuantitatif. Peneliti mengambil sampel pembeli La Madame Florist dengan menggunakan google form dengan total 100 responden yang disebarkan melalui media sosial. Analisis data yang dilakukan peneliti menggunakan program SPSS versi 15. Berdasarkan hasil penelitian yang telah diperoleh dan telah dijelaskan oleh penulis mengenai word of mouth terhadap keputusan pembelian di La Madame Florist. Diketahui bahwa nilai koefisien determinasi pada tabel R Square sebesar 0.246 menunjukkan bahwa 24.6% keputusan pembelian dipengaruhi word of mouth. Diketahui bahwa nilai koefisien korelasi Word Of Mouth memiliki hubungan yang cukup kuat terhadap Keputusan pembelian dan bersifat positif karena berada di antara interval 0,40 - 0,599. maka dari hasil yang didapat tersebut penulis dapat memberikan beberapa kesimpulan. Kesimpulannya adalah Word of mouth memiliki pengaruh positif dan signifikan terhadap keputusan pembelian di La Madame Florist.


2021 ◽  
Author(s):  
Vishal Dey ◽  
Peter Krasniak ◽  
Minh Nguyen ◽  
Clara Lee ◽  
Xia Ning

BACKGROUND A new illness can come to public attention through social media before it is medically defined, formally documented, or systematically studied. One example is a condition known as breast implant illness (BII), which has been extensively discussed on social media, although it is vaguely defined in the medical literature. OBJECTIVE The objective of this study is to construct a data analysis pipeline to understand emerging illnesses using social media data and to apply the pipeline to understand the key attributes of BII. METHODS We constructed a pipeline of social media data analysis using natural language processing and topic modeling. Mentions related to signs, symptoms, diseases, disorders, and medical procedures were extracted from social media data using the clinical Text Analysis and Knowledge Extraction System. We mapped the mentions to standard medical concepts and then summarized these mapped concepts as topics using latent Dirichlet allocation. Finally, we applied this pipeline to understand BII from several BII-dedicated social media sites. RESULTS Our pipeline identified topics related to toxicity, cancer, and mental health issues that were highly associated with BII. Our pipeline also showed that cancers, autoimmune disorders, and mental health problems were emerging concerns associated with breast implants, based on social media discussions. Furthermore, the pipeline identified mentions such as rupture, infection, pain, and fatigue as common self-reported issues among the public, as well as concerns about toxicity from silicone implants. CONCLUSIONS Our study could inspire future studies on the suggested symptoms and factors of BII. Our study provides the first analysis and derived knowledge of BII from social media using natural language processing techniques and demonstrates the potential of using social media information to better understand similar emerging illnesses. CLINICALTRIAL


2021 ◽  
Vol 14 (1) ◽  
pp. 63-76
Author(s):  
Antonio E.L. Nyoko ◽  
Anthonia Debora Dila Semuel

The development of information technology and the internet is currently developing very widely. This greatly affects the lifestyle of most humans at this time. The internet is an important part of everyday life in terms of accessing existing social media. Changes also occur in WOM (Word Of Mouth) communication. Through e-WOM communication, WOM behavior in social media, consumers can obtain information and exchange opinions about products and services. The purpose of this research is to investigate the effect of e-WOM in social media Facebook towards Purchasing Decision on Muca Cafe Kupang. The variables in this study are the independent variable; e-WOM (Intensity, Valence of Opinion, Content) and the dependent variable; Purchasing Decision. The population in this study were consumers who befriended in social media Facebook with Muca Cafe, with a sample of 100 respondents conducted by purposive sampling method. Data collection techniques in this study using the questionnaire method. The instruments were applied Validity Test, Reliability Test, Classic Assumption Test, and Hypothesis Testing using t-Test and F Test. Data analysis techniques used Descriptive Statistics, Multiple Linear Regression, and Coefficient of Determination. The result of this study indicates e-WOM through social media Facebook has a significant effect on Purchasing Decision. Thus, Muca Café should optimize its social media Facebook to attract many consumers. Keywords: Content, Electronic Word Of Mouth, Intensity, Purchasing Decisions, Valence of Opinion


2019 ◽  
Vol 22 (2) ◽  
pp. 94-113 ◽  
Author(s):  
Violetta Wilk ◽  
Geoffrey N. Soutar ◽  
Paul Harrigan

PurposeThis paper aims to offer insights into the ways two computer-aided qualitative data analysis software (CAQDAS) applications (QSR NVivo and Leximancer) can be used to analyze big, text-based, online data taken from consumer-to-consumer (C2C) social media communication.Design/methodology/approachThis study used QSR NVivo and Leximancer, to explore 200 discussion threads containing 1,796 posts from forums on an online open community and an online brand community that involved online brand advocacy (OBA). The functionality, in particular, the strengths and weaknesses of both programs are discussed. Examples of the types of analyses each program can undertake and the visual output available are also presented.FindingsThis research found that, while both programs had strengths and weaknesses when working with big, text-based, online data, they complemented each other. Each contributed a different visual and evidence-based perspective; providing a more comprehensive and insightful view of the characteristics unique to OBA.Research limitations/implicationsQualitative market researchers are offered insights into the advantages and disadvantages of using two different software packages for research projects involving big social media data. The “visual-first” analysis, obtained from both programs can help researchers make sense of such data, particularly in exploratory research.Practical implicationsThe paper provides practical recommendations for analysts considering which programs to use when exploring big, text-based, online data.Originality/valueThis paper answered a call to action for further research and demonstration of analytical programs of big, online data from social media C2C communication and makes strong suggestions about the need to examine such data in a number of ways.


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