Currently, many government agencies, such as schools and district education offices, are using manual methods to manage data, which are not only unreliable but also insecure. Even more alarming is that many schools do not have data backups, which surely will have serious repercussions if important data were lost or damaged in unfortunate events. Hence, this study was carried out to examine the current practice of data management in selected schools and a District Education Office (DEO), to determine the problems associated with the current practice, and to propose a new method to help improve data management of such organizations. The study used a qualitative approach using a semi-structured interview, in which eight school principals and one DEO officer were recruited for the interview. The findings showed that the current practice was both ineffective and inefficient, with many schools having no duplicated copies, as backups, of important data. Furthermore, duplicated copies of data made by some of the schools were largely in printed form. More revealingly, the interviewees indicated that they were concerned with the security and safety of their school data and information. Overall, the research findings reinforce the need to develop an information system that is not only reliable but also highly accessible. Hence, a framework was proposed to guide the development of a web-based information system with appropriate functional and non-functional features, with which practitioners, notably school administrators and education officers, could use to improve the current practice of data management in their schools and DEOs.
Musa, A. K. A. (2011). Sistem My e-MEP dalam menguruskan merit pelajar secara berkomputer (Unpublished master’s dissertation). Universiti Pendidikan Sultan Idris, Perak, Malaysia.
Bambang, S. P. (2014). Flood information management in Jakarta 2014. Retrieved from https://www.gfdrr.org/sites/gfdrr/files/EAP_Session%203_Mr%20Bambang%20Suryaputra_JakartaFlood%20Information%20Management.pdf.
Blaho, J. P. (2013). Three reasons data backup is different from disaster recovery. Retrieved January 28, 2015, from http://www.forbes.com/sites/sungardas/2013/10/31/three-reasons-data-backup-is-different-from-disaster-recovery/.
Bradley, M. (2017). What is cloud computing?. Retrieved August 10, 2017, from https://www.lifewire.com/what-is-cloud-computing-817770.
Chowdhury, A. A. (1987). Predicting success of a beginning computer course using logistic regression. Paper presented at ACM conference on Computer Science 1987, Dubai, UAE.
DeSanti, J. (2010). Not-so-standard operating procedures: Bioscience technology webcast series. Retrieved July 3, 2017, from http://www.dddmag.com/articles/2010/09/not-so-standard-operating-procedures.
Geagea , S., Zhang, S., Sahlin, N., & Hasibi, F. (2013). Book software requirement using the unified process. Retrieved from solusvm.external.exonar.com/software_requirements_using_the_unified_process_a.pdf
Gidey, A. (2012). Reviewing the values of a standard operating procedure. Ethiop Journal Health Science, 22(3), 205-208.
Hawlett-Packard Development Company. (2004). Why back up? The importance of protecting your data. Retrieved from http:// static.highspeedbackbone.net/pdf/hp_why_backup.pdf.
IEEE Software Engineering Standards Committee. (1998). IEEE Std 830-1998, IEEE recommended practice for software requirements specifications. Retrieved July 8, 2017, from https://standards.ieee.org/findstds/standard/830-1998.html.
Johnson, M-V., (2015). The conservation effects assessment Project, CEAP: a national scale natural resources and conservation needs assessment and decision support tool. IOP Conference Series: Earth and Environmental Science 2015. https://doi: 10.1088/1755-1315/25/1/012012.
Kothari, C. R. (2004). Research methodology (2nd ed.). New Delhi : New Age International Publishers.
The United Nations Office for Disaster Risk Deduction. (2013). Flood risks and impacts-future research questions and implication to private invesment decision-making for supply chain networks. Geneva, Switzerland: Masahiko Haraguchi & Upmanu Lall.
Mike, R., & Craig, G. (2016). Benefit of database mirroring. Retrieved July 9, 2017, from https://docs.microsoft.com/en-us/sql/database-engine/database-mirroring/database-mirroring-sql-server.
Muhammad, E. R., Omar, S. S., & Osman, G. (2017). Cloud based software engineering learning environment: Guidelines to host software engineering tools on the cloud. Journal of Theoretical and Applied Information Technology, 95(3).
Non-Functional requirements definition. (2011). Retrieved July 8, 2017, from https: //www2a.cdc.gov/cdcup/library/templates/CDC_UP_NonFunctional_Requirements_Definition_Template.doc.
Robson, C. (2002). Real world research: A resource for social scientists and practitioners-researchers (2nd ed.). Oxford: Blackwell.
Rognas, L., Hansen, T. M., Kirkegaard, H., & Tonnesen, E. (2013). Standard operating procedure changed pre-hospital critical care anaesthesiologists’ behaviour: a quality study. Scandinavian Journal Trauma, Resuscitation and Emergency Medicine, 21(84).
Rouse, M. (2012). Database mirorring. Retrieved July 9, 2017, from http://whatis.techtarget.com/definition/database-mirroring.
Shen, T., Dai, Q., Wang, R., & Gou, Q. (2015). The impact of online additional reviews on consumer's purchase process. International Journal of Information Systems and Social Change, 6(1), 24-40.
The Star. (2015, Jan 3). Banjir: Jumlah kerosakan harta benda, infrastuktur cecah RM1 billion, Retrieved from http://www.mstar.com.my/berita/berita-semasa/2015/01/03/banjir-1--bilion/.
Zimmerman, J. F. (1999). The importance of standard operating procedures for Investigators. Retrieved from http://www.impactcg. com/docs/SOCRA_11.99_SOPs.pdf.
Ubaidullah, N. H., Mohamed, Z., Saad, A., Hamid, J., Rashid, N. A., Hashim, M., & Khan, S. B. O. (2017). The Current Practice of Data Management of Schools and District Education Offices: Is There a Need for a New Approach? International Journal of Academic Research in Business and Social Sciences, 7(11), 506-522.
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