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BEYOND DIRECTIONS: HOW TOUR GUIDES SHAPE CULTURAL INTERPRETATION AND VISITOR ENGAGEMENT AT CULINARY FESTIVALS Debi Rusmiati; Ahmad Kurniawan
Journal Hotspot Vol. 3 No. 2 (2025): December
Publisher : Politeknik Pariwisata Palembang

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Abstract

Culinary festivals have increasingly emerged as important platforms for cultural tourism, offering visitors opportunities to engage with local heritage through food-based experiences. However, limited attention has been given to the role of tour guides in shaping cultural interpretation and visitor engagement within culinary festival settings. This study aims to examine how tour guides influence visitors’ cultural understanding and engagement at the Festival Kuliner Legendaris Jakarta. Adopting a qualitative case study approach, data were collected through in-depth semi-structured interviews, participant observation, and document analysis involving tour guides, festival visitors, and event organizers. The data were analyzed using thematic analysis to identify patterns related to guiding practices and visitor experiences. The findings reveal that tour guides play a significant role as cultural interpreters, storytellers, and experience curators by contextualizing local culinary heritage through interpretive narratives and interactive communication. These practices enhance visitors’ cultural appreciation, emotional connection, and overall engagement with the festival experience. This study contributes to tourism and event management literature by extending the understanding of tour guides’ roles in culinary festival contexts and provides practical insights for festival organizers and destination managers in designing culturally meaningful and engaging culinary tourism experiences.
Analysis of User Satisfaction while Implementing New Self Order Kiosk (SOK) Technology Using the TAM and Smart PLS Methods Muhammad Aizar Aisyun Niam; M. Tutuk Safirin; Ahmad Kurniawan
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3951

Abstract

Self Order Kiosk (SOK) is machines used for  ordering process. Each SOK machine, equipped with a state-of-the-art touchscreen, displays a variety of menu options, including food, drinks, snacks, and ice cream. When customers place orders through these machines, their orders are sent directly to the kitchen monitor. This allows kitchen staff to immediately prepare and serve the orders quickly and accurately, reducing customer waiting times. However, there have been several complaints from customers about the ordering process using the SOK machines, indicating that there is still room for improvement in the service. Given these issues, researchers are increasingly interested in using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method in this research and Technology Acceptance Model (TAM). PLS-SEM is an analysis technique that enables the simultaneous testing of relationships among multiple dependent and independent variables. TAM is a method designed to examine user attitudes towards technology. Each variable can be a factor or a construct composed of several indicators. The research results led to the conclusion that the perception of the usefulness and ease of use of the Self Order Kiosk (SOK) machine significantly influences the acceptance behavior of SOK technology.