Audience Response Analysis System ( ARAS )

Audience Response Analysis System ( ARAS ). Selangor Science & Technology Review, 3 (1). pp. 41-48. ISSN 2636-9931 (2019)



Abstract

Audience Response Analysis System (ARAS) was developed for Exact Training Consultant Company. The purpose of developing this system is to restraint problems that occus when Question & Answer (Q&A) sessions are conducted to any events. A series of interview sessions were conducted with four candidates inside Exact Training Consultant; including the Director, Area Manager, Program Manager, and the Main Coach to explore requirements for the system. This system will help to increase the efficiency and the effectiveness of two – way communication in any events by having Q&A session throughout the seminar or events. After the
organiser register the event details, and system will gather any information gained from organiser and are obliged to set an event code in the system. As for the audience, organiser will ask the audience to open the system’s website and enter the key code. Then, audiences will be allowed to ask questions, like and dislike questions that has been asked by other audience. Every month or yearly, the company will make some progress report based on the categories of the seminar that they held throughout the month or year. The system will then make analytics questions that were gathered from audiences and make sentiment analysis to handle manual
report constraints. By having this system for Exact Training Consultant, it will improve the questions and answering session in any occurring events for the future. This will also improve the administrator to actually review feedback, generating report without having any problems and also to predict either the events are in positive feedback or in negative feedback.

Item Type: Article
Keywords: Data dictionary, Feedback analysis, Question and answering, Sentiment analysis, Big data analytics
Taxonomy: By Subject > Computer & Mathematical Sciences > Information Technology
Local Content Hub: Subjects > Computer and Mathematical Sciences
Depositing User: Muhammad Azrul Ayob
Date Deposited: 02 Sep 2022 04:32
Last Modified: 02 Sep 2022 04:32
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