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논문검색

HEMS: Automated Online System for SEGAK Analysis and Reporting

초록

영어

The Ministry of Education Malaysia (MOE) implemented the National Physical 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 standardized 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 web 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 data have a consistent format of data types. HEMS generates an automated analysis and reporting for the use of related authorities.

목차

Abstract
 1. Introduction
 2. SEGAK Assessment
 3. Proposed Framework
  3.1. Data Submission Phase
  3.2. Data Pre-processing Phase
 4. Data Collection
 5. Data Analysis Phase
 6. Results and Discussions
 7. Conclusion
 References

저자정보

  • Fadzli Syed Abdullah Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
  • Nor Saidah Abd Manan Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
  • Aryati Ahmad Institute for Community (Health) Development, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
  • Sharifah Wajihah Wafa Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
  • Mohd Razif Shahril Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
  • Nurzaime Zulaily Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
  • Rahmah Mohd Amin Faculty of Medicin, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
  • Amran Ahmed Institute of Engineering Mathematics, Universiti Malaysia Perlis, Perlis, Malaysia

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