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A Conceptual Framework of Cloud-Based Mobile-Retail Application for Textile Cyberpreneurs Nik Zulkarnaen Khidzir; Wan Safra Diyana Wan Abdul Ghani; Khairul Azhar Mat Daud
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.602 KB) | DOI: 10.11591/eecsi.v5.1593

Abstract

Cloud-based m-retail application is commonly used by internet retailers and cyberpreneurs for conducting online business operations. The emergence of third-party e-commerce platforms along with incentives from Malaysian government has easily enabled the utilization of mobile marketplace app among both Malaysian sellers and customers. As m-retail has just started to gain attention in Malaysia, more works must be done to overcome the academic research limitations in terms of technological and non-technological perspectives. Meanwhile, textile and apparel products are among the most popular to be sold via the internet in addition to the growing number of related businesses. The uses of latest technology such as cloud-based mobile-retail application may help business owners to sustain for business survival. In designing a mobile applications for specific users, a thorough investigation must be performed. A conceptual framework of the apps might be helpful in providing a general overview of required elements for developing a successful mobile-retail applications. Extensive literature reviews, qualitative analysis, interviews and questionnaires have been conducted in designing and validating the proposed framework. The analysis results shows mean values from the survey are > 3.5 for the core element variables in this research. Thus, the statistical analysis validation results indicates the importance of the element as the fundamental component for the proposed framework. Therefore, this paper intends to propose a conceptual framework of cloud-based mobile-retail application specifically to be used by textile cyberpreneurs which might be helpful for related key players.
THE ACCEPTANCE OF MOOC AMONG TVET STUDENTS IN HIGHER EDUCATION: AN OBSERVATION Mohd Erfy Ismail; Norhasyimah Hamzah; Arihasnida Ariffin; Irwan Mahazir Ismail; Khairul Azhar Mat Daud; Pipit Utami; Moh. Khairudin
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 15 No. 2 (2018): Edisi Juli 2018
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.403 KB) | DOI: 10.23887/jptk-undiksha.v15i2.14183

Abstract

Teaching traditionally through the use of textbooks and lecture makes the decline in learning desirability among technical & vocational education and training (TVET) students. In the 21st century learning, the technology changes in learning such as e-learning have led to the use of technology in the field of TVET. Most TVET educators have started using the Massive Open Online Course (MOOC) as a learning medium. The purpose of this study to enhance the quality of teaching and learning for TVET students in higher education. Teaching and  learning in TVET lack of  using blended learning approach. This study examine students’ acceptance and specify the criteria that make Massive Open Online Courses (MOOC) suitable for TVET in learning environment. The respondent are 60 students randomly selected from Creativity and Innovation courses. This study employed the quantitative methodology which include the use of questionnaire with Likert scale. The questionnaire consist four construct to examine the criteria of MOOC for teaching and learning in TVET.  The  reliability  test  of  Cronbach  Alpha is 0.813. Data were analyzed using descriptive analysis. The findings show that the constructs of perceived of usefulness (mean=1.85), perceived ease of use (mean=1.90), user attitude toward use (mean=1.86) and actual system use (mean=1.83) towards the acceptance of MOOC in teaching and learning among TVET students. In general, these finding also showed positive respond to implement MOOC for TVET in higher education. Thus, in making the learning process more interesting, the educators should improving existing teaching style.
The Design of the CQR Information System: Predictive Quantitative Analytics Software for Research Nuur Wachid Abdul Majid; Muhammad Rafli; Pratama Benny Herlandy; Muhammad Nurtanto; Mohamed Nor Azhari Azman; Md Baharuddin Abdul Rahman; Khairul Azhar Mat Daud
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1541

Abstract

In the current digital era, quantitative data analysis remains a critical yet demanding stage of the research process, particularly for researchers without a strong statistical background. Complex analysis procedures, inconsistent method selection, and manual data handling increase the risk of human error and can threaten the validity of research findings. This study addresses this problem by designing and developing the CQR (Calculation of Quantitative Research) Application, a web-based predictive quantitative-analytics system intended to simplify statistical data processing for researchers regardless of their statistical expertise. The system was developed using the Research and Development (RD) method combined with the Waterfall model, comprising problem identification, data collection, system design, implementation, and testing, and was built using the Laravel 11 framework with a MySQL database. System design was guided by an analysis of functional and non-functional requirements and modelled using Use Case and Activity Diagrams. The developed system was evaluated through black-box testing across four core modules-user authentication and three data-upload calculator modules for the System Usability Scale (SUS). All eleven scenarios (100%) produced the expected output. A preliminary usability evaluation of the CQR Application itself, using the System Usability Scale with 32 student respondents, yielded a mean score of 76.09 (SD = 9.67), corresponding to an “Acceptable” rating and a curved grade of B. These findings indicate that the CQR Application is functionally reliable and perceived as usable, while quantitative benchmarking of analytical accuracy and processing time against established statistical software, together with a complementary User Experience Questionnaire evaluation, are identified as the immediate next steps for strengthening the system's scientific and practical contribution. The CQR Application is expected to help researchers, particularly those without extensive statistical training, conduct quantitative analysis that is more consistent, efficient, and credible.