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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.
Integrating Islamic Pedagogical Values into Digital Literacy: Evidence from Teacher Education Students at Muhammadiyah Universities in Indonesia Wahyuningsih; Maria Martini Aba; Pratama Benny Herlandy; Pratiwi Dwi Warih Sitaresmi; Rimayasi; Husamah; Akhsanul In’am
Buletin Edukasi Indonesia Vol. 5 No. 03 (2026): Article in Press - Buletin Edukasi Indonesia
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.bei.002427

Abstract

The rapid expansion of digital technologies has transformed higher education and intensified the need for digital literacy competencies that extend beyond technical proficiency to encompass ethical, critical, and value-oriented dimensions. Within Islamic higher education institutions, integrating Islamic pedagogical values into digital literacy development is increasingly important, particularly for prospective teachers who will shape future learning environments. This study investigates teacher education students’ perceptions of technology use in digital literacy, examines their understanding of Islamic pedagogical values in digital learning practices, and identifies opportunities and challenges for value-based digital literacy development. A quantitative cross-sectional survey was conducted among 256 students from Muhammadiyah universities across western, central, and eastern regions of Indonesia. Data were collected using a structured questionnaire encompassing three constructs: digital literacy, educational technology, and Islamic pedagogy. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that the integration of educational technology and Islamic pedagogical values significantly influences students’ perceptions of digital learning (β = 0.532), while positive perceptions subsequently contribute to higher levels of digital literacy (β = 0.413). The results suggest that ethical and value-based technology integration plays a critical role in strengthening students’ digital competencies. Although challenges remain in critical information evaluation and the consistent implementation of value-oriented digital learning programs, students demonstrate strong potential for ethical and creative technology use. The study highlights the importance of systematically embedding Islamic pedagogical values into digital literacy initiatives within teacher education programs.