Design and Evaluation of a 27 MHz Microcontroller-Based Wireless Communication System for Disaster Mitigation
Main Article Content
Indra Jaya
Muhammad Nawawi
Irma
Background: Indonesia is a region frequently affected by natural disasters. During such events, critical infrastructure often suffers severe damage, and rebuilding it to a fully operational state requires a considerable amount of time. One of the key impacts of natural disasters is the damage to telecommunication networks, which necessitates rapid restoration efforts. Radio communication systems offer a viable solution for emergency communication during such times.
Aims and Methods: This study presents the design of an early warning system simulator aimed at mitigating the impacts of disasters in vulnerable areas. The proposed system utilizes the ATmega328 microcontroller as the main data processor, an RX-2B module to receive 27 MHz radio signals transmitted by a TX circuit, and a TX-2B module to send wireless commands via 27 MHz radio frequency to the RX circuit. Additional components include a buzzer as an alarm indicator and a 16x2 LCD display to show patient room information. The objective of this research is to develop a microcontroller-based early warning system simulator for disaster-prone regions.
Results: Based on the testing results, data transmission was successfully achieved at distances over 50 meters in indoor environments. In outdoor environments, reliable data communication was maintained at distances of up to 70 meters.
Castellanos, M. A. M., Monteiro, E. C., & Louzada, D. R. (2021). Quality by design and failure mode and effects analysis applied to the development of electromedical technology: Preliminary results. Measurement: Sensors, 18, 100303. https://doi.org/10.1016/j.measen.2021.100303
Danang, D., Suwardi, S., & Hidayat, I. A. (2019). Mitigasi Bencana Banjir dengan Sistem Informasi Monitoring dan Peringatan Dini Bencana menggunakan Microcontroller Arduino Berbasis IoT. TEKNIK, 40(1). https://doi.org/10.14710/teknik.v40i1.23342
Fechtel, S. A. (1993). A Novel Approach to Modeling and Efficient Simulation of Frequency-Selective Fading Radio Channels. IEEE Journal on Selected Areas in Communications, 11(3). https://doi.org/10.1109/49.219555
Maslin, N. M. (2021). Sky Wave Propagation. In HF Communications. https://doi.org/10.1201/b12574-8
Muhammad, F., Hadi, A., & Irfan, D. (2018). Pengembangan Sistem Informasi Panduan Mitigasi Bencana Alam Provinsi Sumatera Barat Berbasis Android. Jurnal Teknologi Informasi Dan Pendidikan, 11(1). https://doi.org/10.24036/tip.v11i1.93
Praveen Kumar, D., Sushanth Babu, M., Pardha Saradhi, P., & Gopi Krishna, M. (2019). Distributed coding for ofdm based cooperative hf radio communication system. International Journal of Recent Technology and Engineering, 8(2). https://doi.org/10.35940/ijrte.B2849.078219
Wang, Jian, Shi, Y., Yang, C., & Feng, F. (2022). A review and prospects of operational frequency selecting techniques for HF radio communication. In Advances in Space Research (Vol. 69, Issue 8). https://doi.org/10.1016/j.asr.2022.01.026
Wang, Jinlong, Ding, G., & Wang, H. (2018). HF communications: Past, present, and future. China Communications, 15(9). https://doi.org/10.1109/CC.2018.8456447
Warrington, E. M., Zaalov, N. Y., Naylor, J. S., & Stocker, A. J. (2012). HF propagation modeling within the polar ionosphere. Radio Science, 47(3). https://doi.org/10.1029/2011RS004909
Yang, X., Liu, A., Yu, C., & Wang, L. (2019). Ionospheric Clutter Model for HF Sky-Wave Path Propagation with an FMCW Source. International Journal of Antennas and Propagation, 2019. https://doi.org/10.1155/2019/1782942
