LIGHTHOUSE MAINTENANCE MANAGEMENT MOBILE APPS SYSTEM
DOI:
https://doi.org/10.46754/umtjur.v4i1.258Keywords:
Lighthouse, Maintenance, Mobile, Application, MarineAbstract
Lighthouse is a tower with a strong light which gives navigators a continuous signal. There are about six lighthouses under the responsibility of the Central Region Marine Department of Malaysia. These lighthouses experienced severe construction defects and internal defects. Predictive maintenance, therefore, is performed manually to preserve the lighthouses. Lighthouse Maintenance Management Mobile Apps System (LMMS) is an Android mobile application developed for the Assistant Engineer, Technician, Marine Officer and Division Head of the Central Region Marine Department of Malaysia, responsible for the maintenance of lighthouses. Currently, the Central Region’s Marine Department of Malaysia lacks a computerised maintenance management system for the lighthouses, especially to manage maintenance schedules, work orders and maintenance-related records. In addition, the technician still uses a manual guide for troubleshooting tools and spare parts. Thus, LMMS was developed to solve these problems as a fully functioning mobile application by designing and developing a system for lighthouse maintenance management according to user needs. The methodology used to develop this mobile application is agile. The LMMS provides complete features for scheduling maintenance, orders for maintenance work, records related to maintenance, a list of tools and spare parts, and management of lighthouse information. The result shows that LMMS contributes to ease of use by using the mobile platform, quick and simple modules, systematic storage of historical records, efficient workload distribution, rapid reporting, updated list of tools and spare parts, and providing the latest information on the lighthouses. Deploying LMMS helps the Central Region Marine Department of Malaysia manage and maintain the lighthouses more effectively.
References
Arslankaya, S., & Atay, H. (2015). Maintenance management and lean manufacturing practices in a firm which produces dairy products. Procedia - Social & Behavioral Sciences, 207, 214-224. https:// doi.org/10.1016/j.sbspro.2015.10.090 DOI: https://doi.org/10.1016/j.sbspro.2015.10.090
Campbell, J., & Picknell, J. (2015). Uptime, (3rd edition). CRC Press.
Jabatan Laut Malaysia, (2020). Retrieved November 9, 2019 from http://www.marine. gov.my/jlmv4/.
Kostiantyn, L. (2019). Agile development images. Retrieved October 4, 2019. from https://www.shutterstock.com/search/ agile+development.
Leeds, J. (2017). The new lighthouse keepers: A comparative analysis of ownership structures under the national historic lighthouse preservation act program.
Peroni, S. (2017). A simplified agile methodology for ontology development. Lecture Notes in Computer Science, 55-69. https://doi. org/10.1007/978-3-319-546278_5 DOI: https://doi.org/10.1007/978-3-319-54627-8_5
Rani, N., Baharum, M., Akbar, A., & Nawawi, A. (2015). Perception of maintenance management strategy on healthcare facilities. Procedia - Social & Behavioral Sciences, 170, 272-281. https://doi.org/10.1016/j. sbspro.2015.01.037 DOI: https://doi.org/10.1016/j.sbspro.2015.01.037
Susto, G., Schirru, A., Pampuri, S., McLoone, S., & Beghi, A. (2015). Machine learning for predictive maintenance: A multiple classifier approach. IEEE Transactions On Industrial Informatics, 11(3), 812-820. https://doi.org/10.1109/tii.2014.2349359 DOI: https://doi.org/10.1109/TII.2014.2349359
Tam, K., Feizollah, A., Anuar, N., Salleh, R., & Cavallaro, L. (2017). The evolution of android malware and android analysis techniques. ACM Computing Surveys, 49(4), 1-41. https://doi.org/10.1145/3017427 DOI: https://doi.org/10.1145/3017427
Wienker, M., Henderson, K., & Volkerts, J. (2016). The computerized maintenance management system an essential tool for world class maintenance. Procedia Engineering, 138, 413-420. https://doi: 10.1016/j.proeng.2016 DOI: https://doi.org/10.1016/j.proeng.2016.02.100
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