Development of the Android Application for the Landslide Disaster Mitigation Real-time System based on Firebase Server and OneSignal
Abstract
This article presents the development of SIDASIBELO (Landslide Information and Mitigation System), an Android-based application for real-time landslide monitoring and early warning. This system integrates data from several sensors that measure soil moisture, rainfall, slope angle, and ground vibrations at the monitored locations. The Firebase Real-time Database stores and transmits sensor data, while Firebase Cloud Messaging and OneSignal enable push notifications to alert users about potential landslide risks. There are four output status levels: SAFE, ALERT, CAUTION, and WARNING, which are determined based on a comprehensive analysis of the monitored parameters. Mitigation strategies include real-time parameter monitoring, early warnings, evacuation guidance, and user education on landslide preparedness. Testing on several Android devices demonstrated high compatibility, with an average successful server connection rate of 92.86%. Latency tests indicated an average response time of 894 ms from the input device to the database, 1.29 ms from the database to the Android device, and 2725 ms for push notifications. The system's total daily bandwidth usage for real-time data transmission is 27,648 MB, indicating high efficiency without overburdening the server's performance. While the app operates efficiently under ideal conditions, unstable network connections can lead to data retrieval failures or, in worst cases, app malfunctions. This remains a key challenge for our system. This system aims to raise awareness of landslide risks and enable timely evacuation, which could potentially reduce the negative impacts of landslides in vulnerable areas.

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References
R. B. Bhardwaj, “Landslide detection system: based on IoT," International Journal for Scientific Research & Development, vol. 9, no. 1, pp. 54–59, 2021.
M. Herviany, S. P. Delima, T. Nurhidayah, and K. Kasini, “Perbandingan algoritma k-means dan k-medoids untuk pengelompokkan daerah rawan tanah longsor pada provinsi jawa barat: comparison of k-means and k-medoids algorithms for grouping landslide prone areas in west java province,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 1, no. 1, pp. 34–40, 2021.
M. R. Dzulkarnain, A. Fariza, and A. Basofi, “Mobile based of mitigation and emergency system for landslide in ponorogo, east java, indonesia,” in 2016 International Electronics Symposium (IES), 2016, pp. 154–159.
M. Sarwar and T. R. Soomro, “Impact of smartphone’s on society,” European journal of scientific research, vol. 98, no. 2, pp. 216–226, 2013.
R. K. Swamy, “Mobiles have changed the way we communicate,” International Journal of English Research, vol. 6, no. 6, pp. 40–43, 2020.
S. Kapoor, H. Pahuja, and B. Singh, “Real time monitoring & alert system for landslide,” in 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), 2016, pp. 584–589.
M. M. Sejera, A. H. Ballado, B. N. H. Fernando, M. F. I. A. Montemayor, and A. V. D. Niebres, “Mobile app-based early warning system for landslides using land monitoring through gsm,” in 2020 IEEE Region 10 Symposium (TENSYMP), 2020, pp. 90–93.
C. Silva, “Addressing landslide issue in sri lanka using a web-based mobile application,” Auckland University of Technology, 2020.
D. Bai, J. Tang, G. Lu, Z. Zhu, T. Liu, and J. Fang, “The design and application of landslide monitoring and early warning system based on microservice architecture,” Geomatics, natural hazards and risk, vol. 11, no. 1, pp. 928–948, 2020.
A. Wicki, P. Lehmann, C. Hauck, S. I. Seneviratne, P. Waldner, and M. Stähli, “Assessing the potential of soil moisture measurements for regional landslide early warning,” Landslides, vol. 17, pp. 1881–1896, 2020.
R. Maulidi, B. K. Kristanto, and Y. D. Listio, “Earthquake information push notification system in android application using google firebase,” IJISCS (International Journal of Information System and Computer Science), vol. 4, no. 2, pp. 98–112, 2020.
S. Maryam and A. Purwono, “Android application development for push notification feature for indonesian space weather service based on google cloud messaging,” in J Phys Conf Ser, 2022, vol. 2214, no. 1, p. 012031.
R. el Stohy, N. el Khamesy, and H. el Ghareeb, “A proposed system for push messaging on android.,” International Journal of Interactive Mobile Technologies, vol. 10, no. 3, 2016.
M. Ohyver, J. V Moniaga, I. Sungkawa, B. E. Subagyo, and I. A. Chandra, “The comparison firebase real-time database and mysql database performance using wilcoxon signed-rank test,” Procedia Comput Sci, vol. 157, pp. 396–405, 2019.
M. A. Mokar, S. O. Fageeri, and S. E. Fattoh, “Using firebase cloud messaging to control mobile applications,” in 2019 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), Sep. 2019, pp. 1–5. doi: 10.1109/ICCCEEE46830.2019.9071008.
P. Chougale, V. Yadav, A. Gaikwad, and B. Vidyapeeth, “Firebase-overview and usage,” International Research Journal of Modernization in Engineering Technology and Science, vol. 3, no. 12, pp. 1178–1183, 2021.
R. K. Sungkur, Y. Gangabaksh, and N. Rutah, “Cloud-based cross-platform push notification system for more informed learners,” in 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech), 2016, pp. 229–234.
A. B. Gunawan, S. Hansun, and M. B. Kristanda, “Nolong. in: an Android based incident notification application with push notification technology.," International Journal of Electrical & Computer Engineering (2088-8708), vol. 9, no. 1, 2019.
M. Ahmadi, B. Biggio, S. Arzt, D. Ariu, and G. Giacinto, “Detecting misuse of google cloud messaging in android badware,” in Proceedings of the 6th Workshop on Security and Privacy in Smartphones and Mobile Devices, 2016, pp. 103–112.
D. Firdaus, B. Priambodo, and Y. Jumaryadi, “Implementation of push notification for business incubator,” International Journal of Online and Biomedical Engineering (iJOE), vol. 15, no. 14, pp. 42–53, Oct. 2019, doi: 10.3991/ijoe.v15i14.11357.
N. Chatterjee, S. Chakraborty, A. Decosta, and A. Nath, “Real-time communication application based on android using google firebase,” Int. J. Adv. Res. Comput. Sci. Manag. Stud, vol. 6, no. 4, 2018.
I. O. Suzanti, N. Fitriani, A. Jauhari, and A. Khozaimi, “REST api implementation on android based monitoring application,” J Phys Conf Ser, vol. 1569, no. 2, p. 22088, Jul. 2020, doi: 10.1088/1742-6596/1569/2/022088.
R. T. Fielding et al., “Reflections on the rest architectural style and ‘principled design of the modern web architecture’ (impact paper award),” in Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017, pp. 4–14. doi: 10.1145/3106237.3121282.
R. Ivanov and V. Velkova, “Tangible and personalized smart museum application,” Digital Presentation and Preservation of Cultural and Scientific Heritage, vol. 13, pp. 97–106, 2023.
A. Sanmorino and R. M. Fajri, “The design of notification system on android smartphone for academic announcement.,” International Journal of Interactive Mobile Technologies, vol. 12, no. 3, 2018.
J. Liu and J. Yu, “Research on development of android applications,” in 2011 4th International Conference on Intelligent Networks and Intelligent Systems, 2011, pp. 69–72. doi: 10.1109/ICINIS.2011.40.
A. T. Kabakuş, “A performance comparison of sqlite and firebase databases from a practical perspective,” Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 7, no. 1, pp. 314–325, 2019.
L. Venica, E. N. Irawan, and D. I. H. Putri, “IoT with firebase: smart ring android app using max30100 for fatigue detection,” Journal of Electrical, Electronic, Information, and Communication Technology, vol. 6, no. 1, pp. 8–15.
A. Sofwan, F. R. Adhipratama, and K. Budiraharo, “Data communication design based on internet of things architecture for smart greenhouse monitoring and controlling system,” in 2022 5th International Conference on Information and Communications Technology (ICOIACT), 2022, pp. 205–209.
M. F. Younis and Z. S. Alwan, “Monitoring the performance of cloud real-time databases: a firebase case study,” in 2023 Al-Sadiq International Conference on Communication and Information Technology (AICCIT), 2023, pp. 240–245.
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