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Green Marketing and Brand Image: Strengthen Consumers’ Purchase Decisions Through Brand Trust on Mineral Water Aqua Consumers in Pekanbaru City Melinda, Lisa; Restuti, Sri; Jushermi, Jushermi
West Science Interdisciplinary Studies Vol. 2 No. 03 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i03.695

Abstract

This study aims to find out the effect of Green Marketing and Brand Image on the purchase decisions of Mineral Water AQUA consumers in Pekanbaru City through the moderation of Brand Trust. The population in this study is the residents of Pekanbaru who purchase and consume AQUA Mineral Water. Sampling was done using purposive sampling technique with a total of 226 respondents. Data analysis used was SMART PLS 3.2.9. The results research: 1) Green Marketing has a positive and significant effect on the Brand Trust of AQUA Mineral Water consumers in Pekanbaru City. 2) Brand Image has positive and significant effect on the Brand Trust of AQUA Mineral Water consumers in Pekanbaru City. 3) Green Marketing has a positive and significant effect on Purchase Decisions 4) Brand Image has positive effect on Purchase Decisions is positive but insignificant. 5) Green Marketing has a positive and significant effect on Purchase Decisions through Brand Trust as a moderating variable for AQUA Mineral Water consumers in Pekanbaru City. 6) Brand Image has a positive and significant influence on Purchase Decisions through Brand Trust as a moderating variable on AQUA Mineral Water consumers in Pekanbaru City. 7) Brand Trust has  positive and significant impact on the Purchase Decisions on AQUA Mineral Water consumers in Pekanbaru City.
Analisis Sentimen Twitter dan Pengaruhnya Kepada Masyarakat Terhadap Jatuhnya Cryptocurrency Oktasia Nasution, Hafiza; Noviasari, Henni; Nasution, Salhazan; Melinda, Lisa
IT Journal Research and Development Vol. 7 No. 1 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.10599

Abstract

Cryptocurrency has become a global phenomenon nowadays. Based on the results of the GlobalWebIndex Survey, around 10% of internet users in Indonesia have digital currencies. But in recent years, the price of the cryptocurrency has fallen. It has resulted in people starting to hesitate to invest in crypto. This problem causes responses from the community, such as positive, negative, and neutral responses. This study aims to classify public opinion through the response to the fall of crypto by applying sentiment analysis through Twitter social media. Sentiment analysis data collection on Twitter uses the python programming language. There are three stages in the data analysis process: data crawling, preprocessing, and the results of classification and visualization. Based on research from sentiment analysis through social media Twitter, it was obtained that 57.9% produced a neutral value, 35.7% produced a positive value, and 6.4% produced a negative value.