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All Journal Jurnal Teknik Sipil Jurnal Teknik Sipil dan Perencanaan IJOG : Indonesian Journal on Geoscience Jurnal Konstruksia Semesta Teknika Journal of Civil Engineering Emerging Science Journal Civil Engineering Dimension Civil Engineering Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Media Ilmiah Teknik Sipil PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat EDUKATIF : JURNAL ILMU PENDIDIKAN Asian Journal of Agriculture TAPAK (Teknologi Aplikasi Konstruksi) : Jurnal Program Studi Teknik Sipil JURNAL TEKNIK HIDRAULIK Akselerasi Jurnal Ilmiah Teknik Sipil Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding Prosiding Seminar Nasional Program Pengabdian Masyarakat Jurnal Konstruksi Jurnal Teknik Sumber Daya Air Sambulugana
Jazaul Ikhsan
Department Of Civil Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta,
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation

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Journal : Emerging Science Journal

 1 
IoT-based Lava Flood Early Warning System with Rainfall Intensity Monitoring and Disaster Communication Technology Iswanto Suwarno; Alfian Ma’arif; Nia Maharani Raharja; Adhianty Nurjanah; Jazaul Ikhsan; Dyah Mutiarin
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
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 Ade Prima Rivanto Ade Prima Rivanto Adhianty Nurjanah Agus Setyo Muntohar Agus Setyo Muntohar Ahmad Zaki Alfian Ma’arif Ali Nursamsi Dahlan Alidina Nurul Hidayah, Alidina Nurul Ani Hairani Ani Hairani, Ani Anjasmara, Krisna Bagus Apiniti Jotisankasa Apip Apip Apip, Apip ARDILA, RISKA AULA ary yunanto Asril Adi Sunarto Budiarto Budiarto Burhan Barid Cahyono, Afandi Wahyu Deng, Abraham Ayuen Ngong Dyah Mutiarin Dyah Mutiarin, Dyah Ekawati, Francy Iriani Fata, Nurul Francy Risvansuna Fivintari, Francy Risvansuna Hakas Prayuda Hartono Hartono Hendra Hendra Hendy Dwi Cahyo Hilmi, Ikhlassul Hiro Agung Pratama Hung-Jiun Liao Ibrahim, Muhammad Shazril Idris Irfan Jufianto Iswanto Suwarno Jufianto, Irfan Krisna Bagus Anjasmara Lesmana, Surya Maharani Raharja, Nia Miyata, Shusuke Mohd Arif Zainol, M. R. R. Mulyono Mulyono Nia Kartika Nia Maharani Raharja Novika Komariona Dewi Nurmalita Nurmalita Nursamsi Dahlan, Ali Nursetiawan Ikhsan Nursetiawan Nursetiawan, Nursetiawan Nursetiawan, . Pengki Irawan Puji Harsanto Purwanto Purwanto Purwanto Purwanto Ramadhan, Muhammad Rifqi Ridwan Ardiansyah Risdiyanto Risdiyanto Rivanto, Ade Prima Rizani, Aisyah Azzahra Robial, Siti Muawanah Rohman, Fahrul Rudi Saputra Sabtanti Harimurti Sameh Fuqaha Sari, Amalia Kurnia Sasongko, Danang Setiati, Rehni Slamet Riyadi Slamet Riyadi Sri Atmadja Putra Rosyidi Sri Atmaja Sriyadi Sriyadi Sriyadi Sriyadi Sriyadi Sriyadi Sriyadi Sriyadi Sriyadi Sriyadi, Sriyadi Sunarhadi, M. Amin Surya Budi Lesmana Surya Budi Lesmana Suwarno, Iswanto Tahadjuddin Uzuoka, Ryosuke Victor G. Jetten Wahyu Widodo Wahyu Widodo Wahyudi Hidayat, Wahyudi Wawan Shodiq Purnomo