Association Between the Quality of the Islamic Education Management Information System and Madrasah Administrative Efficiency at MA Imam Ibnu Katsir Pekanbaru
DOI:
https://doi.org/10.53515/alqodiri.v24i3.275Keywords:
Islamic Education, Management Information System, Information System Quality, Madrasah Administrative Efficiency, Madrasah Aliyah, Educational AdministrationAbstract
Background of Study: Digital information systems can streamline educational administration, but the presence of technology alone does not guarantee efficient services. Aims and Scope of Paper: This study examined the statistical association between the quality of the Islamic Education Management Information System and madrasah administrative efficiency at MA Imam Ibnu Katsir Pekanbaru. Methods: A quantitative explanatory survey was conducted with a population of 344 students. A sample of 185 students was determined using the Slovin formula with a 5% margin of error and was selected using the random sampling procedure reported in the original study. Data were collected with two 15-item, five-point Likert scales measuring perceived information-system quality and madrasah administrative efficiency. Item validity, Cronbach's alpha reliability, descriptive statistics, assumption tests, and simple linear regression were analyzed in IBM SPSS Statistics 29. Results: Perceived information-system quality was high (M = 4.10, SD = 0.47), as was madrasah administrative efficiency (M = 4.07, SD = 0.50). Regression analysis indicated a positive association between the two variables (B = 0.670, beta = 0.689, t = 12.846, p < .001), and the model explained 47.5% of the variance in administrative efficiency (R2 = .475). Conclusion: Within this madrasah and from the students' perspective, better perceived information-system quality was associated with more efficient administrative services. The result supports the practical value of reliable systems, accurate information, responsive service, ease of use, and data security, while the survey design does not establish causality.
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