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Development of Online Courseware for Low-Achieving Special Education Students Learning Communication Jumi, Miliana; Muhamad Adnan, Muhamad Hariz
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 4 No 2: August 2022
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0402.379

Abstract

In 2019, the government announced the Movement Control Order due to pandemic covid19. The situation leads to the closure of every school and premises to avoid the number of cases increasing. Every teacher conducts online classes where most of the students also facing difficulties in following the session. The study aims is to propose an online courseware for a lowly-achieving student based on communication subject. This study focuses on the development of courseware for form 1 of secondary school user. Lowly functional students are referring to students who unable to master the skills of reading, writing, and counting at a minimal level. The methodology used in this research is the evolutionary prototype with the integration of the SAM model, an instructional design model. A quantitative study was made among teachers and parents. As a result, a courseware called the BrightEdu were developed to help the children agree with the theoretical conclusions and research results of other authors.
Development of Attendance Monitoring System with Artificial Intelligence Optimization in Cloud Naen, Mohamad Fakir; Muhamad Adnan, Muhamad Hariz; Yazi, Nurul Adilah; Nee, Chee Ken
International Journal of Artificial Intelligence Vol 8 No 2: December 2021
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0802.315

Abstract

The creation of an attendance management system based on biometrics is proposed in this research. Keeping track of student attendance during lecture periods has proven to be a difficult task. Because human calculating creates errors and wastes a lot of time, the capacity to compute the attendance percentage becomes a key challenge. For this reason, a biometric-based attendance management system is being developed. This system uses a fingerprint device to take attendance electronically, and the attendance records are kept in a database. Following student identification, attendance is recorded. Artificial intelligence is also proposed as a component of the system. The system will aid in the reduction of errors and the more effective compilation of attendance data.
Fight against Obesity Mobile Application Qin, Ching Zhen; Muhamad Adnan, Muhamad Hariz
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 5 No 1: June 2022
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0501.370

Abstract

The focus of this research was basic workout guide which provide steps for workout, suggested healthy nutrition and information about health disease. The target user of this research was the adult who confront with overweight and obesity problem. Workout is a set of energetic action or exercise that people can do it everywhere. This research aimed to help the target user to practice the healthy lifestyle by starting workout and eating with balance nutrition. The software of this research will be performed in mobile application. A quantitative method is used to collect the data on user acceptance on the developed mobile application. There were 30 respondents from UPSI invited to answer the questionnaire after using the Fight against Obesity mobile application. The result showed overall mean equal to 4.07, which mean the majority respondents were accept Fight against Obesity Mobile Application. For adult who owned a mobile phone, they can just download this mobile application and start to train themselves to be discipline and solving their weight problem.