Abstract :

Most of the industries, especially mining companies, are facing nowadays an exciting future with growing demand as well as severe challenges. Several innovations in technology as well as in the organizational process and methods are developed in order to cope with the continuously advancing technologically-driven society and to address pressing issues that industries are facing, including emergency response-related problems. This study aimed to improve information access by developing ER MineTracer mobile emergency response application which combines web and mobile applications designed for reporters and rescuers in responding to employees’ emergency requests. It uses GPS to determine an employee’s current position and communicates the user’s name and present location straight to a web application installed in a command center for quick dispatching of emergency units. Descriptive-developmental research was employed in the study utilizing an object-oriented modeling tool in designing the ER MineTracer mobile application. Thirty (30) participants were purposefully chosen to assess the performance of the system and it was revealed that the developed ER MineTracer mobile application was efficient in terms of accessibility, accuracy, and usability. Hence, it is recommended to utilize ER MineTracer and optimize smartphones to assist individuals in saving lives during emergencies and accidents, especially in mining industries.

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Keywords :

Descriptive-Developmental Research, Emergency Response, Frequency Radio, Mobile Application, Object-Oriented Modeling Tool, Philippines., Taganito Mining Corporation

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References :

1. Miller, D., Mirzaeva, G., & Goodwin, G. (2020). Power Line Communication in Emergency Power Microgrid for Mining Industry. 2020 IEEE Industry Applications Society Annual Meeting.doi:10.1109/ias44978.2020.9334815
2. De Guzman, J. B., & Ado, R. G. (2014). Mobile Emergency Response Application using Geolocation for Command Centers. International Journal of Computer and Communication Engineering, 3(4), 235.
3. Mardonova, M & Choi, Y. (2018). Review of Wearable Device Technology and Its Applications to the Mining Industry. Energies, 11(3), 547. doi:10.3390/en11030547
4. Romano, M., Onorati, T., Aedo, I., & Diaz, P. (2016). Designing Mobile Applications for Emergency Response: Citizens Acting as Human Sensors. Sensors (Basel, Switzerland), 16(3), 406. https://doi.org/10.3390/s16030406
5. Pakhare, A. P., Bali, S., & Kalra, G. (2013). Use of mobile phones as research instrument for data collection. Indian Journal of Community Health, 25(2), 95-98.
6. Dilmaghani, R.B. & Rao, R.R. (2007). Future Wireless Communication Infrastructure with Application to Emergency Scenarios. Proceedings of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WOWMOM 2007), Helsinki, Finland.
7. Litman, T. (2003). Social Inclusion as a Transport Planning Issue in Canada. Victoria, BC, Victoria Transport Policy Institute.
8. Stephanidis, C., Anthony, P., Akoumianakis, D., & Sfyrakis M. (2001). Self-Adapting Web-based Systems: Towards Universal Accessibility. Science and Technology Park of Crete, Heraklion, Crete, GR-71110, Greece.
9. Walker, A. M., & Miller, D. P. (2012). Tele-operated Robot Control using Attitude Aware Smartphones. Proceedings of the Seventh Annual ACM/IEEE International Conference on Human-Robot Interaction – HRI ’12. doi:10.1145/2157689.2157788
10. Brajdic, A., & Harle, R. (2013). Walk Detection and Step Counting on Unconstrained Smartphones. Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing – UbiComp’13. doi:10.1145/2493432.2493449
11. Lai, P.-H., & Kim, I. (2015). Lightweight Wrist Photoplethysmography for Heavy Exercise: Motion Robust Heart Rate Monitoring Algorithm. Healthcare Technology Letters, 2(1), 6–11.doi:10.1049/htl.2014.0097
12. Virrantaus, K., Markkula, J., Garmash, A., Terziyan, V., Veijalainen, J., Katanosov, A., & Tirri, H. (2002). Developing GIS-supported location-based services. Proceedings of the Second International Conference on Web Information Systems Engineering. doi:10.1109/wise.2001.996708
13. Abascal, J. & Civit, A. (2000). Mobile Communication for People with Disabilities and Older People: New Opportunities for Autonomous Life. Proceedings of the 6^th ERCIM Workshop.
14. Rashid, A. R. B. A. (2018). EasyJPJ Application using Mobile Application. Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
15. Weichbroth, P. (2020). Usability of Mobile Applications: A Systematic Literature Study. IEEE Access, 8, 55563–55577.doi:10.1109/access.2020.2981892
16. Bruegge, B. & Dutoit, A. (2010). Object-Oriented Software Engineering. 3^rd Pearson Education, Inc.
17. Cano, J. C. & Lomibao, L. S. (2022). Design, Development, and Validation of Phenomenon-Based Learning Video for Asynchronous Remote Instruction. American Journal of Education Research, 10(4), 194-200. doi: 10.12691/education-10-4-6