Enhancing Customer Interaction with Chatbot in Digital Marketing for Traditional Balinese Food Sellers

This research explores the potential of chatbot to enhance interactions between consumers and traditional Balinese food sellers. Besides that, this research promotes Balinese specialties, improves customer experience, and supports local tourism by increasing accessibility to information. Research methods include literature review, surveys, data collection, prototype development, implementation, and result analysis. The Bakul BOT application was developed, and testing involved Black Box Testing for functionality and the System Usability Scale (SUS) for user satisfaction. Test results showed all features worked as expected, with an average SUS score of 83, placing Bakul BOT in grade A, categorized as "Excellent." The Net Promoter Score (NPS) classified the app as a "Promoter," indicating high user satisfaction and recommendation likelihood. Overall, Bakul BOT is user-friendly and well-received, especially regarding its functionality and features.

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Publication Details

Journal
ARRUS Journal of Engineering and Technology
Published
2024-12-06
DOI
https://doi.org/10.35877/jetech3296
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing Customer Interaction with Chatbot in Digital Marketing for Traditional Balinese Food Sellers

Sandatya Widhiyanti Anak Agung, I Gusti Agung Ayu Sekarini
ARRUS Journal of Engineering and Technology
Digital Marketing and Social Media
article

Enhancing Customer Interaction with Chatbot in Digital Marketing for Traditional Balinese Food Sellers

Sandatya Widhiyanti Anak Agung, I Gusti Agung Ayu Sekarini
article en

Abstract

This research explores the potential of chatbot to enhance interactions between consumers and traditional Balinese food sellers. Besides that, this research promotes Balinese specialties, improves customer experience, and supports local tourism by increasing accessibility to information. Research methods include literature review, surveys, data collection, prototype development, implementation, and result analysis. The Bakul BOT application was developed, and testing involved Black Box Testing for functionality and the System Usability Scale (SUS) for user satisfaction. Test results showed all features worked as expected, with an average SUS score of 83, placing Bakul BOT in grade A, categorized as "Excellent." The Net Promoter Score (NPS) classified the app as a "Promoter," indicating high user satisfaction and recommendation likelihood. Overall, Bakul BOT is user-friendly and well-received, especially regarding its functionality and features.

ARRUS Journal of Engineering and TechnologyVol. 4(2)
Institut Teknologi Dan Bisnis STIKOM Bali
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi
Openalex Percentile: Top 55%
Digital Marketing and Social Media
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