Wahyuni Sri Astutik
Program Studi Administrasi Bisnis, Fakultas Ilmu Administrasi, Universitas Pawyatan Daha, Indonesia

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Utilisation of Social Media in Market Research and Business Decision Analysis Abu Muna Almaududi Ausat; Riko Mersandro Permana; Filda Angellia; Agus Dedi Subagja; Wahyuni Sri Astutik
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian Juni 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12485

Abstract

In recent years, social media has experienced significant growth and become a very popular platform for individuals and companies. Social media such as Facebook, Twitter, Instagram, and LinkedIn have become important places for people to interact, share information, and express their opinions. This study aims to conduct a review of current literature on the utilisation of social media in market research and business decision analysis. The focus of this study is primarily qualitative. Methods for gathering data include paying close attention to detail while viewing and recording data, and then using analytical techniques such as data reduction, visualisation, and inference to draw conclusions. The study concluded that utilising social media in market research and business decision analysis can provide significant benefits for companies in understanding consumers, identifying market trends, and making smarter business decisions. With direct access to real-time data and user insights, companies can unearth valuable information about their consumers' preferences, behaviours, and needs.
Use of ChatGPT in Building Personalisation in Business Services Muhammad Ade Kurnia Harahap; Pilifus Junianto; Wahyuni Sri Astutik; Andriya Risdwiyanto; Abu Muna Almaududi Ausat
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12666

Abstract

In today's digital age, personalised customer service is becoming increasingly important for businesses to maintain and improve customer satisfaction. Personalisation in business services involves the ability to provide an experience tailored to each customer's unique needs, preferences and characteristics. This research aims to explore the use of ChatGPT in building personalised business services by overcoming existing challenges. The focus of this study is primarily qualitative. Methods for gathering data include paying close attention to detail while viewing and recording data, and then using analytical techniques such as data reduction, visualisation, and inference to draw conclusions. The study concluded that the use of ChatGPT in building personalised business services offers great potential to improve customer experience, operational efficiency and marketing outcomes. By leveraging ChatGPT's ability to interact in natural language, provide personalised recommendations, provide responsive customer support, and collect valuable data, businesses can create better customer experiences, build more personalised relationships, and improve their business success.