Proceedings of The 6th Asia-Pacific Education And Science Conference, AECon 2020, 19-20 December 2020, Purwokerto, Indonesia

Research Article

Digital Marketing Chatbot Using API Dialog Flow Case Studi ITB Stikom Bali, Jimbaran Campus

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  • @INPROCEEDINGS{10.4108/eai.19-12-2020.2309122,
        author={I Putu Gede Abdi Sudiatmika and Made Suci Ariantini},
        title={Digital Marketing Chatbot Using API Dialog Flow Case Studi ITB Stikom Bali, Jimbaran Campus},
        proceedings={Proceedings of The 6th Asia-Pacific Education And Science Conference, AECon 2020, 19-20 December 2020, Purwokerto, Indonesia},
        publisher={EAI},
        proceedings_a={AECON},
        year={2021},
        month={8},
        keywords={chtbot dialogflow stikom_bali api},
        doi={10.4108/eai.19-12-2020.2309122}
    }
    
  • I Putu Gede Abdi Sudiatmika
    Made Suci Ariantini
    Year: 2021
    Digital Marketing Chatbot Using API Dialog Flow Case Studi ITB Stikom Bali, Jimbaran Campus
    AECON
    EAI
    DOI: 10.4108/eai.19-12-2020.2309122
I Putu Gede Abdi Sudiatmika1,*, Made Suci Ariantini2
  • 1: ITB Stikom Bali, Computer System
  • 2: STMIK Stikom Indonesia
*Contact email: gede_abdi@stikom-bali.ac.id

Abstract

The presence of technology in everyday life makes all activities fast and easy. Technology is also present and reaches all levels of society. Communities are competing to create innovations so that all community activities become more effective and efficient. T If the number of students is large, it will take a very long time, and some prospective students do not get information about the ITB Bali Stikom Campus. The Industrial Revolution 4.0 demands a digital marketing concept that can be combined with the capabilities of Machine Learning - Natural Language Processing (NLP), which is the study of how computers or systems can communicate with human language and can answer questions. The concept of NLP is used to create automatic answering services or chatbots. This study aims to build a chatbot system that can provide information to students about the STikom Bali ITB Campus. The chatbot that is built will use Dialogflow, a framework from Google. The method used in this research is the waterfall method. The results of the data analysis of the collection of questions from existing student candidates are compiled and the possible answers will be given by the chatbot. The results of this study indicate that the chatbot has been implemented well, it can be seen from the chatbot that has answered questions from users well according to the given keywords.