Please use this identifier to cite or link to this item: https://dspace.rmutk.ac.th/jspui/handle/123456789/4757
Title: CHATBOT FOR RMUTK STUDENT LOAN
Other Titles: CHATBOT FOR RMUTK STUDENT LOAN
Authors: มนรดา ศิริมงคล,อาจารย์ที่ปรึกษาโครงงาน
Keywords: โครงงานปริญญาตรี - ปีการศึกษา 2566
Chatbot
Student Loan Fund
Dialogflow
แชทบอท
Issue Date: 2566
Publisher: มหาวิทยาลัยเทคโนโลยีราชมงคลกรุงเทพ. คณะวิทยาศาสตร์และเทคโนโลยี. สาขาวิชาวิทยาการคอมพิวเตอร์
Abstract: Project CHATBOT FOR RMUTK STUDENT LOAN Author Mr. Pornpawee Chuasathapanasiri Mr. Ponlawat Pootang-on Major Information Technology Advisor Ms. Monrada Sirimongkol Academic Year 2023 Abstract From the current issues, many students have been inquiring about various problems through the Facebook page and LINE of the student loan fund of Rajamangala University of Technology Krungthep (RMUTK). It has been observed that there is a delay in responding to inquiries due to insufficient staff and limited working hours during official business days, which prevents providing consultation 24/7. Therefore, the objective of this project is to develop an automated chatbot system for the student loan fund of RMUTK by integrating Dialogflow into the LINE application to study the operation of the chatbot and utilize the acquired knowledge to enhance the chatbot system to answer inquiries regarding various information accurately and comprehensively. The research results have shown that it helps reduce the workload of staff in responding to repetitive inquiries. From the development of the automated chatbot system for the student loan fund of RMUTK, the following conclusions can be drawn 1) By applying the automated chatbot system to the management guidelines, it reduces service steps and inquiries. Overall satisfaction with the system usage is highly rated, with an average score of 4.692) The development of the automated chatbot system achieved its intended objectives in terms of development and user contact channels, with the highest satisfaction score of 4.693) Users expressed high satisfaction with the development of the automated chatbot system, with an overall satisfaction score of 4.69, indicating a high level of satisfaction. The highest average satisfaction score was 4.84, and the lowest was 4.49, which falls within the highest satisfaction range.
URI: http://dspace.rmutk.ac.th/handle/123456789/4757
Appears in Collections:บทคัดย่อรายวิชาโครงงานปริญญาตรี

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