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Analysis of e-Advertising Influence Case Study on Culinary Product S Luckyardi; C N Albar; N N Supriatna
Journal of Business and Behavioural Entrepreneurship Vol 5 No 2 (2021): Journal of Business and Behavioural Entrepreneurship
Publisher : Fakultas Ekonomi, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JOBBE.005.2.02

Abstract

The purpose of this research is to analyse the influence of e-advertising on consumers. The case study was conducted on culinary product by performing literature study method and questionnaires. Purposive sampling technique was used with two criteria namely age and location of residence. The questionnaires was distributed among 100 respondents with age ranging from 18 to 24 years old and resided in Bandung. The results show that advertisement in social media or e-advertisements is effective to influence consumers, this is indicated by most of respondents stated that they know the product from social media, not only conventional media. In addition, the coverage of e-advertisement exposure is very extensive. This is also supported by the fact that young adults tend to use social media and other online platforms to find information regarding product. This research contribute recommendation to integrate online means in their advertisement method.
Artificial Intelligence as Human Behavior Detection for Auto Personalization Function in Social Media Marketing R D Santy; M I Habibillah; Y R Dimyati; V S. S. Nofia; S Luckyardi; T V. L. Gaol; D Oktafiani
International Journal of Research and Applied Technology (INJURATECH) Vol 1 No 1 (2021): International Journal of Research and Applied Technology (INJURATECH) 2021
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.998 KB) | DOI: 10.34010/injuratech.v1i1.5456

Abstract

This study aims to determine how artificial intelligence's role in increasing marketing activities' effectiveness in automatic personalization. Some of the factors that can influence humans using social media are what they like, where they comment, and their type in the search fields on their social media. The method used in this research is a comparative descriptive method, namely describing or explaining and validating a phenomenon under study, then comparing it with other social media that has a different system. Some of the variables or objects studied in this paper are the user's habits in using social media and the artificial intelligence found on several social media that reacts with their users' habits. This study shows how artificial intelligence can increase the effectiveness of marketing activities on social media and produce comparable data between artificial intelligence technologies found in several social media, which shows that artificial intelligence is proven to increase marketing activities' effectiveness. It is done on social media.
Information Technology in the Social Media Application S Luckyardi; D J Kusnadi; F Santanu; R N Subandrio
International Journal of Education, Information Technology, and Others Vol 4 No 1 (2021): International Journal of Education, Information Technology, and Others
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.606 KB) | DOI: 10.5281/zenodo.4683421

Abstract

The purpose of this study is to describe and analyze the impact of information technology on social media. It focuses on the use of social used for business. This study used the descriptive qualitative method. Data collection techniques such as interviews, observation of non-participation, and internet searching. This study shows that information technology (IT), mainly social media, influences consumers who want to do a transaction and buy a product. Currently, technology is overgrowing, encouraging a person to use social media to conduct transactions and buy a product because it can facilitate entrepreneurs in developing their business