Voice Consultation System on Web Application

Main Article Content

Santi Sathiwantanah
Ketsara Phetkrachang

Abstract

This research is a solution to problems during the covid19 situation related to the consulting services available at universities. Because students are unable to enter the campus area, they are unable to communicate directly with workers from each department that provides student services, such as student affairs and registration, Internal telephones and social media platforms such as Facebook are commonly used for communication which the phone can only be used during office hours As for the online social channels, Facebook was found to be unsystematic and unable to track the results of the students' solutions. Therefore, the researcher has studied and developed the system by choosing a form of service as a web application for the technique of exchanging data using the principle of REST, which makes it possible to expand and support a large number of users. effective in the research, a case study was used for consulting in registration work. From the analysis of the system, it was found that questioning should be divided into groups. to make it easier to narrow the scope of the problem for the registration work, a total of 12 groups of questions were analyzed, namely requesting to open a course, registration, withdrawing a course, etc. The principle of the system is that the consultant must log in using the university's roster in order to Individual identification is then recorded through a web browser. and then upload the audio file into the system for the staff to listen and answer by answering the staff can both answer by voice and text. Students can also track counseling status through the system. The user satisfaction assessment of the system was divided into 7 aspects, 5 levels of satisfaction. It was found that the results of the assessment had a mean satisfaction of 4.07 and a standard deviation of 0.75. The results of the summary of the consulting system service via web applications are satisfied at a good level.

Article Details

How to Cite
Sathiwantanah, S., & Phetkrachang, K. . (2022). Voice Consultation System on Web Application. KKU Science Journal, 50(1), 35–45. Retrieved from https://ph01.tci-thaijo.org/index.php/KKUSciJ/article/view/250296
Section
Research Articles

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