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Adhianty Nurjanah
Universitas Muhammadiyah Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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IoT-based Lava Flood Early Warning System with Rainfall Intensity Monitoring and Disaster Communication Technology Suwarno, Iswanto; Ma'arif, Alfian; Maharani Raharja, Nia; Nurjanah, Adhianty; Ikhsan, Jazaul; Mutiarin, Dyah
Emerging Science Journal Vol. 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021)
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SP1-011

Abstract

A lava flood disaster is a volcanic hazard that often occurs when heavy rains are happening at the top of a volcano. This flood carries volcanic material from upstream to downstream of the river, affecting populous areas located quite far from the volcano peak. Therefore, an advanced early warning system of cold lava floods is inarguably vital. This paper aims to present a reliable, remote, Early Warning System (EWS) specifically designed for lava flood detection, along with its disaster communication system. The proposed system consists of two main subsystems: lava flood detection and disaster communication systems. It utilizes a modified automatic rain gauge; a novel configured vibration sensor; Fuzzy Tree Decision algorithm; ESP microcontrollers that support IoT, and disaster communication tools (WhatsApp, SMS, radio communication). According to the experiment results, the prototype of rainfall detection using the tipping bucket rain gauge sensor can measure heavy and moderate rainfall intensities with 81.5% accuracy. Meanwhile, the prototype of earthquake vibration detection using a geophone sensor can remove noise from car vibrations with a Kalman filter and measure vibrations in high and medium intensity with an accuracy of 89.5%. Measurements from sensors are sent to the webserver. The disaster mitigation team uses data from the webserver to evacuate residents using the disaster communication method. The proposed system was successfully implemented in Mount Merapi, Indonesia, coordinated with the local Disaster Deduction Risk (DDR) forum. Doi: 10.28991/esj-2021-SP1-011 Full Text: PDF
Co-Authors Agus Samsudin Ahmad Hermawan Alfian Ma’arif Anish Pandey Arda Putri Winata Aris Slamet Widodo Arista, Altabella Septi Arya Adiningrat Asma Munifatussaidah Bachtiar Dwi Kurniawan Barbara Gunawan Cahya Damarjati Carlos Sánchez-López Carlos Sánchez-López Cengiz Deniz Chalila Raihan Nabilazka Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Dhiya Uddin Rijalusalam Dianita Sugiyo Dyah Mutiarin Dyah Mutiarin Dyah Mutiarin Dyah Mutiarin, Dyah Enrico Aditjondro Faudyan Eka Satria Fitra Prasapawidya Purna Frizki Yulianti Nurnisya, Frizki Yulianti Frizki Yulianti Yulianti, Frizki Yulianti Frizky Yulianti Frizky Yulianti N Gatot Supangkat Gatot Supangkat Ilham Maulana Saud Ilham Ramdana Irfan Ahmad Irfan Ahmad Israa Al_barazanchi Iswanto Iswanto Iswanto Iswanto Iswanto Iswanto iswanto iswanto Iswanto Suwarno Iswanto Suwarno Iswanto Suwarno Jazaul Ikhsan Lasa Hs Maharani Raharja, Nia Muhammad Abdus Shomad Muhammad Ahmad Baballe Muhammad Azhar Muhammad Heri Zulfiar, Muhammad Heri Muhammad Iqbal Muhammad Iqbal Khatami Nabilazka, Chalila Raihan Nano Prawoto Nia Maharani Raharja Nia Maharani Raharja Nia Maharani Raharja Noven Tri Wandasari Novi Caroko Nurnisya, Frizki Yulianti Pamungkas, Nobat Tri Purnomo, Halim Rachmad Andri Atmoko Ramadhan, Cahyo Setiadi RASYID, ERWIN Reza Alayi Riski Apriliani Ritonga, Mukail Rouzi, Kana Safrina Sairin, Sjafri Sakir Ridho Wijaya Sakir Sakir Sakir Sakir, Sakir Samidjo, Gatot Supangkat Sashikala Mishra Sjafri Sairin Sri Nabawiyati Nurul Makiyah Sri Nabawiyati Nurul Makkiyah Suwarno, Iswanto Tanjung, Afriansyah Tri Pitara Mahanggoro Wahyudi Kumorotomo Wahyudi Wahyudi Wahyudi, Wahyudi Wardana, Linda Kusumastuti Widodo, Aris Slamet Wulan Widyasari Wulan Widyasari, Wulan Yulianti, Frizky