Maitri, Agra (2019) Rancang Bangun Chatbot sebagai Pusat Informasi Lembaga Kursus dan Pelatihan Menggunakan Pendekatan Natural Language Processing. Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
The recent development of customer service has been intensifing with the presence of many social media in cyberspace. There are those who answer using humans and there are also those who use machines to answer questions posed by humans automatically. One of companies that use a lot of customer service is the Course Insitutes. Customers usually have to come or call for asking information about the course. Submission of information is deemed ineffective because the customer service is not always in place or picks up the phone. The course needs information technology that provides information for customers with the aim of not causing significant time losses. Therefore the author makes an automatic chat answering system or what is called chatbot. Chatbot acts as a conversation agent who can help the role of the customer service. This application is built using the Natural Language Processing (NLP) approach and uses Text Mining as its reasoning. Text Mining on this system is done by tokenizing to break up words, filtering to delete unimportant words, and Analyzing using Term Frequency for matching with the database. The modelling system used for this application is the Unified Modelling Language. In this research, it can be concluded that this system can help customer service in answering questions about the course information, and also by using Telegram applications customers do not need to open the website first but they can search directly for the course’s username. Keywords: Customer Service, institution, Natural Language, Text Mining, Term Frequency
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 01 Apr 2019 00:16 |
| Last Modified: | 01 Apr 2019 00:16 |
| URI: | http://eprints.uty.ac.id/id/eprint/2634 |
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