JACOB Voice Chatbot Application Using Wit.ai for Providing Information in UMN
Steven Wijaya1, Arya Wicaksana2
1Steven Wijaya, Department of Informatics, Universitas Multimedia Nusantara, Tangerang Indonesia.
2Arya Wicaksana, Department of Informatics, Universitas Multimedia Nusantara, Tangerang Indonesia.
Manuscript received on 27 September 2019 | Revised Manuscript received on 09 November 2019 | Manuscript Published on 22 November 2019 | PP: 105-109 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F10170986S319/19©BEIESP | DOI: 10.35940/ijeat.F1017.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this modern age, chatbots have been widely used as an information provider. The popularity of voice-based chatbots or voice chatbots has also increased with the presence of technologies such as Microsoft Cortana, Amazon Lex, Apple Siri, and Google Assistant. Interaction with voice chatbot is done using a voice which is more convenient than the text-based chatbots. Universitas Multimedia Nusantara (UMN) requires a tool to provide information for the Informatics joint-degree program. In this paper, a voice chatbot named JACOB is proposed. JACOB is built as a web-based application and implemented with Web Speech API. The sentences received by JACOB are translated using Wit.ai. The Jaro-Winkler distance is also applied in this research to reduce errors in identifying the user’s name. This implementation has been tested successfully, and the total satisfaction score measured using End User Computing Satisfaction is 78.53%.
Keywords: JACOB, UMN, Voice Chatbot, Wit.ai.
Scope of the Article: Community Information Systems