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The study of Presentation Style Performance of a Business Intelligence System and Chatbot for a Maintenance Support System |
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| รหัสดีโอไอ | |
| Creator | Natadsada Sungsaophat |
| Title | The study of Presentation Style Performance of a Business Intelligence System and Chatbot for a Maintenance Support System |
| Contributor | Satidchoke Phosaard |
| Publisher | Faculty of Informatics, Mahasarakham University |
| Publication Year | 2568 |
| Journal Title | Journal of Applied Informatics and Technology |
| Journal Vol. | 7 |
| Journal No. | 1 |
| Page no. | 174-192 |
| Keyword | Business Intelligence, Chatbot, Efficiency, Maintenance, Presentation Style |
| URL Website | https://ph01.tci-thaijo.org/index.php/jait |
| Website title | Journal of Applied Informatics and Technology |
| ISSN | 3088-1803 |
| Abstract | The objectives of this research are as follows: 1) to enhance the data presentation of the business intelligence system for machine maintenance support, 2) to examine the format and improve the interaction with the business intelligence system for machine maintenance support, 3) to assess user satisfaction with business intelligence, and 4) to evaluate the impact of business intelligence on users. The Waterfall model of the program development cycle is employed in the creation of business intelligence systems and conversation robots, such as chatbots. Next, the efficacy of utilization and the level of user contentment are assessed by collecting data on the requirements of those engaged in the water treatment facility at Suranaree University of Technology. Business intelligence includes technological components such as software and databases. The software was created with the Power BI software to facilitate the presentation of reports and enable interaction with the database. MySQL is utilized by the database to store machine operational data. The chatbot system was developed using Python and utilizes LINE’s messaging API to deliver services and obtain system status information. In order to facilitate machine maintenance, it is necessary to establish business intelligence systems that are suitable and effective. This includes implementing a chatbot that aids in analyzing the optimal efficiency of machine operation. The study utilized a sample group consisting of students from the Faculty of Engineering (Mechanical Engineering) at Suranaree University of Technology, as well as personnel working in the water treatment plant at Suranaree University of Technology. A total of 37 individuals were included in the sample. Data collection was conducted through the administration of a questionnaire. Frequency, percentage, mean, standard deviation, and two-way analysis of variance are among the statistical measures employed in data analysis. Pair comparisons were conducted using Fisher’s Least Significant Difference (LSD) if there were statistically significant differences. The findings indicate that business intelligence systems designed for machine maintenance may provide comprehensive data on water management systems, including reports on water levels, anomalies in power and water pressure, real-time monitoring through CCTV, and analysis of previous data. In a study of performance and user satisfaction, it was found that the sample group was most satisfied with the overall audio description (x_bar=4.32, SD=0.589). In terms of work efficiency, the chatbot was most effective overall (x_bar=4.01, SD=0.860). |
