The Line Chatbot Development for the OBEC Automated Library System

Abstract

The OBEC automated library system does not have an automatic notification system for returning books. From the OBEC system case study in the Kanchanaphisek Library Satrichaiyaphum School, as a result, there was an average of 30 overdue books delivered per month. Therefore, this research aims to develop a line chatbot for joining services with the OBEC automated library system. The research design was developed according to the system development life cycle. The users were divided into two groups, i.e., library members and librarians or administrators. The Line chatbot ST-Library was created with LINE Messaging API in the Line application, and notification messages can be sent automatically to the members. Moreover, a web application system or back office was designed to import data from the OBEC automated library system into the MongoDB database. It is easy and convenient for administrators, and the information is always up-to-date. The 150 users have tested and evaluated the application. The overall mean satisfaction score was the highest, with a mean of 4.977 and a standard deviation of 0.058. At the same time, the librarians or administrators gave the highest level of satisfaction.