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Journal : International Conference on Sciences Development and Technology

Design Thinking Approach in Building a Chatbot for Troubleshooting and Handling Disruption Complaints in Network Services Lubis, Akhyar; Iskandar, Iskandar; Hardinata, Rio Septian; Lubis, Syahrian
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

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Abstract

This study explores the application of the Design Thinking approach in building a chatbot for troubleshooting and handling service network disruption complaints. Specifically, the DeepDive method IDEO developed is the main framework in the chatbot creation process.DeepDive, as a methodology that focuses on a deep understanding of user needs and creative problem-solving, allows chatbot creators to design solutions that are highly suitable for unique challenges faced by users in network services. The result is a chatbot capable of effectively handling complaints and providing timely solutions.The research results show that applying IDEO's DeepDive methodology can enhance the efficiency and effectiveness of chatbots in addressing disruption complaints. This significantly contributes to improving network service quality and overall customer satisfaction. This study provides important insights for practitioners and researchers on applying Design Thinking and deep-dive methodology in creating chatbot technology.
Development of Web and Cloud Computing-Based Chatbot Services for Enhancing Academic Services at Panca Budi University Lubis, Akhyar; Sumartono, Isnar
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

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

Abstract

This research aims to develop web and cloud-computing-based chatbot services that can enhance academic services at Panca Budi University. The study highlights the importance of information and communication technology in education and the challenges universities face, such as less interactive academic services and long waiting times. The proposed solution is the development of a web and cloud-computing-based chatbot that can provide quick and accurate responses to student inquiries. Cloud computing in chatbot management also offers additional benefits, such as efficiency and continuous service availability. The research methodology employed a waterfall-based development approach, outlining the stages of chatbot development. Implementing the web-based chatbot utilized Amazon Lex services and integration with other AWS services. Testing results showed that the chatbot improved accessibility to academic information, reduced waiting times, and enhanced the quality of student interactions. The adoption of AWS cloud computing services enabled the chatbot to be accessed online 24/7. The successful development of the chatbot will help meet student needs and enhance academic services at Panca Budi University