Flood Disaster Mitigation Using a Disaster Early Warning and Monitoring Information System with an IoT-Based Arduino Microcontroller

Mitigasi Bencana Banjir dengan Sistem Informasi Monitoring dan Peringatan Dini Bencana menggunakan Microcontroller Arduino Berbasis IoT

*Danang Danang  -  Sekolah Tinggi Elektronika dan Komputer, Indonesia
Suwardi Suwardi  -  Sekolah Tinggi Elektronika dan Komputer, Indonesia
Ihsan Ardi Hidayat  -  Sekolah Tinggi Elektronika dan Komputer, Indonesia
Published: 31 May 2019.
Open Access
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Article Info
Section: Artikel
Language: EN
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Statistics: 523 690
Abstract
The current system for mitigating floods is the doorman checking the water level in the water meter installed at the dam. When it rains very hard or other causes that might affect the flood, the doorman conveys information using the manual way by hitting kentongan to alert the surrounding community because the water level has the potential to cause flooding. This article presents the research aimed at flood disaster mitigation by building a monitoring and flood disaster early warning information system using an Internet of Things based Arduino microcontroller. A water level sensor installed at the river water gate is connected to an Arduino Uno device equipped with an SMS Gateway SIM900A. This system monitors the water level and sends information to the Kedungjati SAR Team and Ketua RT of the surrounding community around the river water gate when the water level approaches the upper limit of the flood disaster. IoT technology in this study is used to store river water level data and turn on the siren as flood warning signs when the data received reaches the flood alert level.
Keywords
IoT; early warning system; flood disaster mitigation; Arduino

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  1. Ali, Z., Ali, H., & Badawy, M. (2015). Internet of Things (IoT): Definitions, Challenges and Recent Research Directions. International Journal of Computer Applications, 128(1), 37–47. https://doi.org/10.5120/ijca2015906430
  2. Bambang, D. (2015). 5 Mitos Bencana Alam Yang Terbantahkan. 1(1), 107.
  3. Boxall, J. (2013). A Hands-on Introduction with 65 Projects, San Francisco.
  4. Firmn, A., Wowor, X. N. H.F. (2015). Sistem Informasi Perpustakaan Berbasis Web. E-Journal Teknik Elektro Dan Komputer, XIV(2), 66–77.
  5. Fuad, H., & Setiawan, W. A. (2014). Aplikasi Web Akademik Terintegrasi SMS Gateway. 4(2), 2–5.
  6. Gushelmi, Kamda, D. R. (2012). Pemodelan UML Sistem Penerimaan Mahasiswa Baru Berbasis WAP (Studi Kasus : Sistem Penerimaan Mahasiswa Baru UPI “ YPTK ” Padang ). 1(1), 24–44.
  7. Maysha, I., Trisno, H. B. (2013). Pemanfaatan Tenaga Surya Menggunakan Rancangan Panel Surya Berbasis Transistor 2N3055 dan Thermoelectric Cooler. Pemanfaatan Tenaga Surya, 12(2), 89–96.
  8. Indianto, W., Kridalaksana, A. H., & Yulianto, Y. (2018). Perancangan Sistem Prototipe Pendeteksi Banjir Peringatan Dini Menggunakan Arduino Dan PHP. Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer, 12(1), 45. https://doi.org/10.30872/jim.v12i1.222
  9. Dewi, L. J. E. (2010). Media Pembelajaran Bahasa Pemrograman C++. JPTK, UNDIKSHA, 1(Januari 2010), 63–72.
  10. Pradana, B. A. A. S D.. (2017). Rancang Bangun M2M (Machine-to-Machine) Communication Berbasis 6LoWPAN. 7(1), 93–104.
  11. Purwanto, A. (2014). Model Sistem Peringatan Dini Banjir Di Kecamatan Satui Menggunakan Sensor Kapasitif Aluminium Foil. 3(Agustus 2014), 545–552.
  12. Sharma, L., & Lohan, N. (2019). Internet of Things With Object Detection. https://doi.org/10.4018/978-1-5225-7432-3.ch006
  13. Siregar, R. H. (2014). Aplikasi mikrokontroler avr sebagai antar muka deteksi fungsi ginjal. PRIMA, 11(1), 1–10.
  14. Sugiyono. (2011). Pendekatan Kuantitatif, Kualitatif dan R&D. In Institut Manajemen Telkom.