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HEMS: Automated Online System for SEGAK Analysis and Reporting

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications SCOPUS 바로가기
  • 통권
    Vol.10 No.10 (2016.10)바로가기
  • 페이지
    pp.89-104
  • 저자
    Fadzli Syed Abdullah, Nor Saidah Abd Manan, Aryati Ahmad, Sharifah Wajihah Wafa, Mohd Razif Shahril, Nurzaime Zulaily, Rahmah Mohd Amin, Amran Ahmed
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A288544

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원문정보

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

키워드

Data Pre-processing Health Monitoring System Physical Fitness Assessment SEGAK

저자

  • 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 ] Corresponding Author
  • Aryati Ahmad [ Institute for Community (Health) Development, Universiti Sultan Zainal Abidin, Terengganu, Malaysia ] Corresponding Author
  • 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 ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Software Engineering and Its Applications
  • 간기
    월간
  • pISSN
    1738-9984
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

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