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Pull-up Counter Device Using Arduino Uno for Fitness Purposes Sulaiman, Suliana; Ahmad Shukri, Ahmad Ayyadi; Abd Wahid, Rohaizah; Mansor, Marzita; Ariffin, Asma Hanee
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 4 No 2: September 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.ijortas-0402.393

Abstract

A pull-up is a type of upper-body exercise that involves the use of both hands. It works by raising the body's head and shoulders and bending the elbows, and extending the shoulders. It can be performed anywhere and is a great way to tone and expand various muscle groups. This study aims to design a device that can count and track the number of pull-up exercises. Pull-Up Counter Device was developed using the Rapid Prototyping model. The product was evaluated by 30 respondents. The result shows that 83.33% of the users strongly agree that the device can display the correct pull-up record on the LCD, and 50% strongly agree that the device can detect pull-up position correctly.
Mobile Application for Student to Learn English Delivered in Malay Language Mohd Rizal, Ernie Anira; Ariffin, Asma Hanee; Mansor, Marzita; Sulaiman, Suliana; Abdul Wahid, Rohaizah
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 5 No 2: September 2023
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.ijortas-0502.558

Abstract

Mobile learning or we can simply refertom learning is aprocess of learning via the internet network using mobile devices like smartphones, tablets, laptops, and a lot more. M-learning has increasingly become a popular trend around the globe. Moreover, Learning English is skill-based learning that requires various approaches and techniques. So, the use of technology like mobile applications is the latest solution to solve the challenges of learning English. The study aims to develop a mobile application for students to learn English grammar but delivere din our mother tongue language which is the Malay language. The application helps students learn in their leisure time with out the presence of their teacher. The software development methodology that will beused in this research is the incremental model.
Needs Analysis for E-WLOAD Ariffin, Asma Hanee; Abdul Wahid, Rohaizah; Mansor, Marzita; Sulaiman, Suliana
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 3 No 1: April 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.jetas-0301.197

Abstract

Isu beban tugas berlebihan di kalangan pendidik telah menghasilkan penciptaan e-WLOAD, sistem pengagihan beban tugas pensyarah (pengajaran dan pengurusan) bagi mengatasi masalah ketidak-seimbangan beban tugas dan kepakaran dalam organisasi. Walaupun terdapat pelbagai sistem dan aplikasi bagi proses pengagihan tugas di pasaran, namun ianya tidak mengkhususkan kepada bidang pendidikan yang melibatkan pelbagai sumber pengetahuan dan proses yang kompleks. Pembentangan ini memfokuskan kepada kejuruteraan keperluan bagi penghasilan keperluan fungsian sistem. Proses yang terlibat adalah elisitasi dan analisis keperluan menggunakan teknik penilaian dokumen dan temubual, membina spesifikasi keperluan dan validasi spesifikasi. Dapatan akhir proses berupaya menggariskan secara terperinci keperluan fungsian sistem dari perspektif proses dan data yang terlibat. Sistem e-WLOAD mampu mencadangkan pensyarah yang bersesuaian bagi kursus berdasarkan kriteria bidang kepakaran dan kelayakan, skor kekerapan dan beban kredit pengajaran seterusnya mampu menjana jadual beban tugas pengajaran jabatan yang menitik beratkan keseimbangan beban kredit antara pensyarah dan sela masa semester pengajaran. Sistem juga mampu mencadangkan pensyarah bagi tugas pengurusan sesuai dengan kelayakan, kepakaran dan beban semasa. Needs Analysis for E-WLOAD Abstract: The issue of excessive workload among educators has resulted in the creation of e-WLOAD, a lecturer's workload distribution system (teaching and management) to overcome the problem of workload imbalance and expertise in the organization. Although there are various systems and applications for the task distribution process in the market, but it does not specialize in the field of education which involves various sources of knowledge and complex processes. This presentation focuses on engineering requirements for the production of system functional requirements. The process involved is elicitation and needs analysis using document evaluation and interview techniques, constructing specification requirements and validation of specifications. The final findings of the process are able to outline in detail the functional requirements of the system from the perspective of the process and the data involved. The e-WLOAD system is able to recommend suitable lecturers for the course based on criteria of expertise and qualifications, frequency scores and teaching credit load which in turn is able to generate a departmental teaching workload schedule that emphasizes the balance of credit load between lecturers and teaching semester intervals. The system is also able to recommend lecturers for management tasks in accordance with current qualifications, expertise and load. Keywords: e-WLOAD, Needs Analysis, Workload.
Anxiety Assistance Mobile Apps Chatbot Using Cognitive Behavioural Therapy Sulaiman, Suliana; Mansor, Marzita; Abdul Wahid, Rohaizah; Nor Azhar, Nur Anis Alisa
International Journal of Artificial Intelligence Vol 9 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.ijai-0901.349

Abstract

The current pandemic COVID-19 and lockdown have worsened patients' health, especially those who suffer from an anxiety disorder. However, anxiety disorders are treatable by undergoing different therapies treatment. This paper aims to develop an Anxiety Assistant Mobile Apps Chatbot (ANUVA) for university students using Cognitive Behavioural Therapy (CBT). Structured activities are used to motivate the user to question their thought distortions and change them back. The ANUVA chatbot is developed using Evolutionary Prototyping Model. The effectiveness of the ANUVA chatbot was tested using Confusion Matrix. The result indicates that the accuracy of the ANUVA chatbot is 75%, precision 85% and recall 88%. The System Usability Scale (SUS) test was used to measure the usability, and the score shows 86.75 for the result. For future work, all the chat records will link with the counselling unit system to enhance the efficiency of the therapies.