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This Author published in this journals
All Journal International Journal of Public Health Science (IJPHS) International Journal of Evaluation and Research in Education (IJERE)
Abu Bakar, Norsuhaily
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Education Health Professions

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Electroencephalography and heart rate variability prognostics in mental health therapies for Malaysian workers Zamri, Nurnadiah; Ismail, Samhani; Ismail, Azimah; Abu Bakar, Norsuhaily; Hassan, Siti Nurani; Tuan Hadi, Tuan Sharipah; Yahaya, Amir Zulhilmi; Koon, Chong Siew; Abu Bakar, Nor Azmi
International Journal of Public Health Science (IJPHS) Vol 14, No 2: June 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v14i2.25224

Abstract

Globally, over a million individuals succumb to suicide annually, with depression contributing to 6.7% of these tragic deaths. Such crises often stem from life-induced pressures, escalating into severe mental health issues. Recognizing these early signs is pivotal, but insufficient without effective therapeutic measures. This study endeavors to address these challenges by exploring patient responses to therapy using electroencephalogram (EEG) and heart rate variability (HRV) data. Conducted in Kuala Terengganu, Malaysia, the research involves workers and employs aromatherapy, deep breathing exercises, and ruqyah alongside a control group. EEG and HRV signals monitor brain wave patterns and heart rhythm coherence, aiding in identifying depression, stress, and anxiety indicators. Integrating questionnaire data including the depression-anxiety-stress-scale (DASS), beck depression inventory (BDI), beck anxiety inventory (BAI), and statistical analysis, the study aims to evaluate therapeutic efficacy in enhancing relaxation and mental well-being. Metrics like HRV coherence ratio and EEG delta wave activity offer insights into therapy optimization. Results suggest deep breathing exercises and aromatherapy as most effective in inducing calmness, followed by ruqyah. By tailoring therapy to individual needs, especially among workers, the study endeavors to foster mental health resilience in communities, paving the path towards a mentally healthier populace.
Using Canva and Microsoft Teams to support students’ writing tasks Zahidah Wan Sulaiman, Wan; ali, zuraina; Mohd Ali, Zarina; Hussain Shahid, Shahid; Ishtiaq, Muhammad; Abu Bakar, Norsuhaily
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i4.27985

Abstract

Teachers and students face difficulties in remote learning. These difficulties can be greatly reduced by utilizing applications, such as Microsoft Teams (MS Teams) and Canva. This study investigates the effectiveness of using Canva and MS Teams as helpful resources for students assigned to write informative speech essays. Employing a sequential explanatory research design in a mixed-method approach, the study involved sixteen English majors from a private university located on Malaysia’s East Coast. Students used MS Teams to complete pre-and post-tests, and afterward, interviews were held to learn more about how they felt about using Canva. The pre and post-tests showed that students improved their writing abilities when using MS Teams since they had a chance to collaborate with their peers and teachers. Qualitative findings also revealed that online learning environments promoted interaction between students and teachers and between students and their peers. The results suggest that incorporating web tools like MS Teams and Canva could enhance students’ learning experience as they complete their writing projects. Overall, this study highlights the potential benefits of incorporating web technologies into the writing process and underscores the importance of seeking student feedback to improve the effectiveness of these tools.
Co-Authors Abu Bakar, Nor Azmi Ali, Zuraina Hassan, Siti Nurani Hussain Shahid, Shahid Ishtiaq, Muhammad Ismail, Azimah Ismail, Samhani Koon, Chong Siew Mohd Ali, Zarina Tuan Hadi, Tuan Sharipah Yahaya, Amir Zulhilmi Zahidah Wan Sulaiman, Wan Zamri, Nurnadiah