Sonya Meitarice, Mumtaz Begum Peer Mustafa, Dedek Okta Andi


In today’s competitive environment, students have to manage a great variety of tasks, and sometimes, due to poor time management, they fall behind in completing the tasks well and on time. Thus, this research presents the research and development of an automated task management system using Analytical Hierarchy Process (AHP) measurement for task monitoring and provides alerts for university students, which can continuously monitor the student’s task performance. To achieve the objective of this research, the following methodology was adopted. First, the research identifies suitable measures of poor time management, best time management practices for university students, and suitable solution for developing the proposed system. A preliminary investigation was carried out to identify problem faced by students with their task management and the impact on their academic performance. The respondents of this preliminary investigation are undergraduate and postgraduate students from the Faculty of Computer Science and Information Technology at the University of Malaya that have responded to a survey questionnaire. Based on the outcome of the preliminary investigation, it is clear that students prefer a computer application to constantly monitor tasks over the internet will ease the tasks of users.


Task Management System; Personalization; Monitoring; Alert; Analytical Hierarchy Process

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B. K. Britton and A. Tesser, “Effects of time-management practices on college grades,” in J. Educ. Psychol., Vol. 83, no. 3, pp. 405–410, DOI: 10.1037/0022-0663.83.3.405. 1991.

R. Misra, “College students’ academic stress and its relation to their anxiety, time management, and leisure satisfaction," Copyright © 2000 All Rights Reserved,” no. January 2000, 2016.

F. Z. Miqdadi, et al., “The relationship between time management and the academic performance of students from the petroleum institute in Abu Dhabi, the UAE,” in ASEE 2014 Zo. I Conf., pp. 1–5, 2014.

M. Torenbeek, E. Jansen, and C. Suhre, “Predicting undergraduates’ academic achievement: the role of the curriculum, time investment and self-regulated learning,” in Stud. High. Educ., 2013.

M. E. Bulger, et al., “Measuring learner engagement in computer-equipped college classrooms,” in J. Educ. Multimed. Hypermedia, Vol. 17, no. 2, pp. 1–23, 2008.

M. Daili, “The university student’ time management skill in terms of their academic life satisfaction and academic achievement levels,” in Educ. Res. Rev., vol. 9 (21), pp. 1090–1096, 2014.

A. Argawal, “Self discipline for student-influences on time management,” 2008. [Online] Available:

A. F. Aduke, “Time management and students academic performance in higher institutions, Nigeria — A case study of Ekiti State,” in Int. Res. Educ., Vol. 3, no. 2, p. 1, DOI: 10.5296/ire.v3i2.7126. 2015.

Mercanlioglu., “The relationship of time management to academic performance of master level students,” in Int. J. Bus. Manag. Stud., Vol. 2, no. 1, pp. 25–36, 2010.

J. N. Choi, “Rethinking procrastination : positive effects of ‘active’ procrastination behavior on attitudes and performance,” in J. Soc. Psychol., no. June 2005.

S. V. Choi, J. N., and Moran, “Why not procrastinate? Development and validation of a new active procrastination scale,” in J. Soc. Psychol., Vol. 149, pp. 195–211, 2009.

J. R. Ferrari, “Procrastination as self-regulation failure of performance: Effects of cognitive load, self-awareness, and time limits on ‘working best under pressure.,’” in Eur. J. Pers., 2001.

H. Kearns and M. Gardiner, “Is it time well spent? The relationship between time management behaviours, perceived effectiveness and work-related morale and distress in a university context,” in High. Educ. Res. Dev., Vol. 26, no. 2, pp. 235–247, 2007. DOI: 10.1080/07294360701310839.

M. Bernasconi, C. Choirat, and R. Seri, “The analytic hierarchy process and the theory of measurement,” Manage. Sci., Vol. 56, no. 4, pp. 699–711, 2010. DOI: 10.1287/mnsc.1090.1123.

J. Karlsson, C. Wohlin, and B. Regnell, “An evaluation of methods for prioritizing software requirements,” in Inf. Softw. Technol., Vol. 39, no. 14–15, 1998, pp. 939–947, DOI: 10.1016/s0950-5849(97)00053-0.

A. Khan, et al., "Comparison of requirement prioritization techniques to find best prioritization technique," in International Journal of Modern Education and Computer Science, Vol. 7, no. 11, 2015, pp. 53–59. DOI: 2015.11.06.

M. K. Tulga, T. B. Sheridan, “Dynamic decisions and workload in multitask supervisory control,” in IEEE Transactions on Systems, Man, and Cybernetics, Vol. 10, no. 5, pp. 217 – 232, 1980.

B. L. Hall and D. E. Hursch, “An evaluation of the effects of a time management training program on work efficiency,” in Journal of Organizational Behavior Management, Vol. 3, no. 4, pp. 73-96, 1982. DOI: 10.1300/J075v03n04_08

T.L. Saaty, “What is the analytic hierarchy process?” in Mitra G., Greenberg H.J., Lootsma F.A., Rijkaert M.J., Zimmermann H.J. (eds) Mathematical Models for Decision Support. NATO ASI Series, 1988. (Series F: Computer and Systems Sciences), Vol. 48. Springer, Berlin, Heidelberg. DOI:

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