SIGAP: Sistem Informasi dan Peringatan Dini Kebakaran Berbasis IoT untuk Komunitas Disabilitas
DOI:
https://doi.org/10.52158/gqxpwv57Abstract
Beberapa orang lahir dengan disabilitas seperti gangguan penglihatan, pendengaran, atau bicara. Saat ini, media dan alat bantu untuk penyandang disabilitas masih terbatas, terutama dalam situasi darurat seperti kebakaran. Misalnya, alarm kebakaran umumnya mengandalkan suara, yang tidak efektif bagi tunarungu. Sementara itu, tunawicara mungkin memerlukan alat untuk menghasilkan suara saat terjebak dalam situasi berbahaya. Untuk membantu penyandang tunarungu dan tunawicara, dibuatlah alat pendeteksi dan pemberi peringatan. Alat ini terdiri dari dua bagian: rangkaian pengirim dan penerima. Rangkaian pengirim menggunakan sensor api, Arduino sebagai mikrokontroler, dan modul WiFi ESP8266 untuk mengirim data ke internet melalui Thingspeak. Rangkaian penerima berbentuk jam tangan yang terdiri dari NodeMCU, motor DC mini sebagai indikator getar, LED sebagai indikator cahaya, OLED sebagai indikator bacaan, dan buzzer sebagai indikator suara. Alat ini berfungsi dengan baik dan mencapai efektivitas hingga 95%.
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[3] F. S. Perilla, G. R. Villanueva, N. M. Cacanindin, and T. D. Palaoag, “Fire safety and alert system using arduino sensors with IoT integration,” in ACM International Conference Proceeding Series, 2018, pp. 199–203. doi: 10.1145/3185089.3185121.
[4] C. L. Arcillas, K. M. C. Sigua, C. J. Centeno, J. R. M. Tenio, M. A. S. Mercado, and V. A. Agustin, “MobiGuard: An IoT-Based Monitoring System for Persons with Walking Disability at Home Integrating Computer Vision, Mobile Application, and Schedule Reminder,” in Proceedings of the 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024, 2024. doi: 10.1109/ICSES63760.2024.10910735.
[5] V. R. C. Bheemireddi, S. T. Pasupuleti, K. S. Gannamani, G. Bandaru, and V. S. S. N. Mula, “Obstacle Detection and Fire Detection for Visually Imapired using Smart Blind Stick,” in Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024, 2024, pp. 1075–1078. doi: 10.1109/ICAAIC60222.2024.10575684.
[6] H. Alqourabah, A. Muneer, and S. M. Fati, “A smart fire detection system using IoT technology with automatic water sprinkler,” International Journal of Electrical and Computer Engineering, vol. 11, no. 4, pp. 2994–3002, 2021, doi: 10.11591/ijece.v11i4.pp2994-3002.
[7] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Communications Surveys and Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015, doi: 10.1109/COMST.2015.2444095.
[8] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013, doi: 10.1016/j.future.2013.01.010.
[9] L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A survey,” Computer Networks, vol. 54, no. 15, pp. 2787–2805, 2010, doi: 10.1016/j.comnet.2010.05.010.
[10] C. Xiong, Z. Wang, Y. Huang, F. Shi, and X. Huang, “Smart evaluation of building fire scenario and hazard by attenuation of alarm sound field,” Journal of Building Engineering, vol. 51, 2022, doi: 10.1016/j.jobe.2022.104264.
[11] S. N. Raj, K. Amuthabala, and S. Devi Patil, “IoT-Enabled Cabin Designed for the Mobility Challenged,” in E3S Web of Conferences, 2024. doi: 10.1051/e3sconf/202456407004.
[12] F. Young, L. Zhang, R. Jiang, H. Liu, and C. Wall, “A deep learning based wearable healthcare iot device for ai-enabled hearing assistance automation,” in Proceedings - International Conference on Machine Learning and Cybernetics, 2020, pp. 235–240. doi: 10.1109/ICMLC51923.2020.9469537.
[13] I. Chang, J. Castillo, and H. Montes, “Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens,” Sensors, vol. 22, no. 3, 2022, doi: 10.3390/s22030848.
[14] S. K. Bhoi et al., “FireDS-IoT: A Fire Detection System for Smart Home Based on IoT Data Analytics,” in Proceedings - 2018 International Conference on Information Technology, ICIT 2018, 2018, pp. 161–165. doi: 10.1109/ICIT.2018.00042.
[15] H. T. Yew, V. T. H. Jie, M. Mamat, A. M. J. Kiring, L. Barukang, and C. S. Kheau, “Innovative IoT-Based Fire Alarm System for Blind and Deaf Individuals,” in 2024 IEEE International Conference on Applied Electronics and Engineering, ICAEE 2024, 2024. doi: 10.1109/ICAEE62924.2024.10667592.
[16] S. F. Begum, K. Yaswanthi, R. Yogitha, V. S. Reddy, and S. M. Maaz, “IoT-based Fire Analyzer and Fire Fighting System,” in Lecture Notes in Electrical Engineering, 2023, pp. 69–76. doi: 10.1007/978-981-99-2058-7_8.
[17] A. D. Rajkumar, S. Sakaew, T. Yensook, and N. Aphiratsakun, “Fire alert system application based on internet of things for STEM education,” in 2020 5th International STEM Education Conference, iSTEM-Ed 2020, 2020, pp. 21–24. doi: 10.1109/iSTEM-Ed50324.2020.9332736.
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2026-06-22
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SIGAP: Sistem Informasi dan Peringatan Dini Kebakaran Berbasis IoT untuk Komunitas Disabilitas. (2026). Journal of Applied Smart Electrical Network and Systems, 7(1). https://doi.org/10.52158/gqxpwv57
