文章基本信息

标题：HEMS: Automated Online System for SEGAK Analysis and Reporting
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作者：Fadzli Syed Abdullah ; Nor Saidah Abd Manan ; Aryati Ahmad 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：10
页码：89-104
DOI：10.14257/ijseia.2016.10.10.10
出版社：SERSC
摘要：The Ministry of Education Malaysia (MOE) implemented the National Ph ysical Fitness Standard (SEGAK) for Malaysian School Children Assessment Program. Ever since, the SEGAK assessment data had been collected by the respective teachers in every school twice a year, then its summary is being submitted to the State Department of Education manually through email. This creates problems such as lack of a standardize d report format, complex formula in calculating SEGAK score and different data interpretation. In this paper, an integrated and automated SEGAK submission and analysis system is proposed. The system, which is known as Health Monitoring System (HEMS), is a w eb based system developed with an automated pre - processing method and implemented three tier architecture. HEMS have a centralized database that collects the assessment data from seven districts in Terengganu. A total of 35,681 data was collected from 213 primary schools, and 27,201 data from 44 secondary schools, giving a big total of 67,519 data. During the pre - processing, 4,637 data or 6.9% of the collected data were excluded due to wrong and incomplete information. Using HEMS template, the submitted dat a have a consistent format of data types. HEMS generates an automated analysis and reporting for the use of related authorities.
关键词：Data Pre ; - ; processing; Health Monitoring System; Physical Fitness ; Assessment; SEGAK