Autonomous attendance monitoring system / Mohamad Iqmal Ussaiq Ismail ...[et al.]

Ismail, Mohamad Iqmal Ussaiq and Ahmad Dzarawi, Muhamad Hakim and Md Azman, Muhamad Alif Zhafri and Mohamad Rosman, Mohamad Rahimi and Mohd Salleh, Mohd Idzwan (2020) Autonomous attendance monitoring system / Mohamad Iqmal Ussaiq Ismail ...[et al.]. In: 2nd Kelantan International Learning and Innovation Exhibition 2019 (KILIEx 2019), 19th - 20th August 2019, UiTM Kelantan Kampus Machang.
Abstract

Absenteeism is an act of habitual absence from work or schools. Absenteeism is considered as one of the worst social problem that may lead into another social problems, such as theft, drug, and bullying. Chronic absenteeism affects the performance of the individual; as well as those around them. In the context of Malaysian, Ministry of Education recorded that more than 37, 000 students were found absence from schools in the year 2017. Recent survey on the similar issue within the university context show that approximately 15 students were barred from examination due to poor attendance. Henceforth, there is a need for a new mechanism to replaced conventional attendance taking method. Therefore, Autonomous Attendance Monitoring System (AMoS) was developed in three stages. First, a qualitative study was conducted to investigate the problem with attendance
monitoring. Then, the prototype of AMoS was developed based
on PHP programming language, MySQL database, HTML5,
CSS3, and jQuery. Lastly, a quantitative study was conducted
to measure the extent of user satisfaction towards using AMoS.
In term of novelty, AMoS improved the current absenteeism
workflow implemented at UiTM, introduce new novel ideas of
autonomous YY-ZZ monitoring, and a new absenteeism scale
Ami-X. The system can be commercialized to any organization,
such as academic institution; kindergarten, schools,
universities, boarding schools, etc. The prototype of AMoS is
protected by Copyright Act 1987, and available online at
Google Play Store

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