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MARKETING MIX DAN CITRA PERUSAHAAN MEMPENGARUHI LOYALITAS PELANGGAN Yuli Setiawati; Eko Prabowo
JURNAL LENTERA BISNIS Vol 12, No 1 (2023): JURNAL LENTERA BISNIS, Januari 2023
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrlab.v12i1.691

Abstract

Customer loyalty is one of the things that are of concern to the company. This research was to analyze the influence of the marketing mix (marketing mix) and corporate image and whether simultaneously it can affect customer loyalty at the IFRA exhibition. The research methodology uses a quantitative approach using statistical calculation models and sampling techniques for 100 respondents to IFRA exhibitors. Testing the instrument results of the questionnaire was carried out by first carrying out validity and reliability tests by taking into account the Cronbach alpha provisions of> 0.70 by paying attention to the test results of correlation and multiple linear regression. Data analysis was assisted by the SPSS application using descriptive statistical test methods and hypothesis testing. The research results showed that there was a positive and significant influence on the marketing mix and corporate image variables on customer loyalty at the IFRA exhibition with contributions of 0.082 and 0.285 and simultaneously 76.1%.Keywords: Corporate Image; Customer Loyalty; Marketing Mix
Penerapan Kecerdasan Buatan dalam Industri MICE dan Event Di Indonesia: Tren, Potensi, dan Tantangan di Masa Mendatang Eko Prabowo; Kurniawan Gilang Widagdyo
Destinesia : Jurnal Hospitaliti dan Pariwisata Vol 5, No 1: September 2023
Publisher : Institut Ilmu Sosial dan Manajemen STIAMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/jd.v5i1.3338

Abstract

The MICE (Meeting, Incentive, Convention, and Exhibition) industry and events have undergone significant changes with the emergence of Artificial Intelligence (AI) technology. This research aims to explore the application and impact of Artificial Intelligence in the context of the MICE industry and events, particularly in Indonesia. Through an in-depth review of literature and case studies, this study discusses how AI technology has influenced the planning, execution, and participant experience in events. This research employs a qualitative descriptive method with an approach to literature study from various reliable sources, analysis of case studies of events that have adopted AI technology, as well as in-depth interviews with event organizers and industry experts. This information is collected and analyzed using a triangulation of data sources approach as a method to examine and validate data from various perspectives and gain deep insights into the application of AI in the MICE industry and events. The results of this study explain various ways in which AI can be integrated into MICE activities and special events. AI is used for data analysis, personalization of participant experiences, interaction through chatbots, and optimization of schedules and logistics. Furthermore, AI plays a role in event security and surveillance management. Facial recognition and video analysis solutions have been used to monitor visitors, identify suspicious behavior, and mitigate risks. AI platforms also monitor cybersecurity to ensure events proceed without disruptions. However, not all job roles can be replaced by AI; some roles related to hospitality and planning still require human intervention. The use of AI in the MICE and events industry also presents challenges, such as data security and privacy, as well as the proper utilization of technology. Nevertheless, the potential of AI in optimizing participant experiences, enhancing operational efficiency, and driving innovation continues to inspire event organizers to integrate this technology into their strategies. By understanding trends and the potential application of AI in the MICE and events industry, organizers and practitioners can design more engaging, efficient, and secure events in the evolving digital era, enriching the participant experience in future events.
Penyuluhan dan Sosialisasi Pemanfaatan Kecerdasan Buatan dalam Kegiatan MICE dan Special Event pada Mahasiswa Pascasarjana Program Studi Pariwisata Universitas Pelita Harapan Eko Prabowo; Kurniawan Gilang Widagdyo
Jurnal Relawan dan Pengabdian Masyarakat REDI Vol. 1 No. 1 (2023): Agustus
Publisher : Yayasan REDI Tiga Monas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As part of community service acitivity, the introduction and implementation of Artificial Intelligence (AI) in special events and the MICE (Meeting, Incentive, Convention, and Exhibition) industry have become important themes that can provide direct benefits to the community and the industry, particularly students as intellectual individuals. This activity takes the form of a presentation to postgraduate tourism students at Universitas Pelita Harapan, with the aim of providing in-depth insights to students and participants from event practitioner circles about how the application of AI technology in special events and the MICE industry can advance the industry and provide a better experience for participants. In this activity, the fundamental concepts of AI are elucidated to provide a strong understanding of the potential of this technology in aiding intelligent decision-making based on data. The use of AI technology in analyzing participant data in events enables the identification of trends and preferences, while personalizing participant experiences through content recommendations enhances interaction and engagement. The benefits of AI implementation in the MICE and events industry are outlined through improved operational efficiency, enhanced participant experiences, and the potential for innovation in event organization. This activity also acknowledges potential challenges, such as ethical considerations and data privacy and offers practical guidance on the implementation of AI in events and the MICE industry, providing participants with insights into initial steps that can be taken to adopt this technology. Through this approach, it is hoped that participants can form a better understanding of the benefits of AI, support industry development, and provide an improved experience for participants.