APLIKASI CHATBOT UNTUK PENERIMAAN MAHASISWA BARU UNIVERSITAS INDO GLOBAL MANDIRI MENGGUNAKAN DEEP LEARNING

Desrika Heryati, M. Ir. Zulkifli, Ricky Maulana Fajri, M. S.Kom.
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Abstract

Most prospective new students want to get fast and accurate information. Prospective new students certainly want to get a lot of information about the procedure for registering new students at each tertiary institution, especially Indo Global Mandiri University. Information on new student admissions at Indo Global Mandiri University only uses websites and social pages as general information. To overcome this problem, a new student acceptance chatbot application was created at Indo Global Mandiri University to provide information that can summarize well and display the information to users. To create this chatbot using the Python programming language using Deep learning. The deep learning algorithm model that is applied in making chatbots uses the Artificial Neural Network model. The application of the Artificial Neural Network model can recognize question patterns quickly and accurately so as to get an appropriate response. The model was then tested with 15 different conversations and successfully answered with a chatbot accuracy value of 86% and 13% error
CHATBOT的应用程序,为一个新的印第全球大学录取学生使用深度学习
大多数准新生都想获得快速准确的信息。未来的新生当然希望得到很多关于每个高等教育机构注册新生程序的信息,特别是印度全球曼迪利大学。印度全球曼迪利大学的新生入学信息仅使用网站和社交页面作为一般信息。为了克服这个问题,印度全球曼迪利大学开发了一个新的学生录取聊天机器人应用程序,提供可以很好地总结的信息,并将信息显示给用户。使用Python编程语言使用深度学习创建这个聊天机器人。用于制作聊天机器人的深度学习算法模型使用了人工神经网络模型。应用人工神经网络模型可以快速准确地识别问题模式,从而得到适当的响应。然后对该模型进行了15次不同的对话测试,并成功地以86%的聊天机器人准确率和13%的错误率回答了问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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