scholarly journals Community Participation in Effort to Mitigate Caused by Mount Kelud Eruption in Ngancar District, Kediri Regency

2019 ◽  
Vol 19 (2) ◽  
pp. 20-26
Author(s):  
Andri Estining Sejati ◽  
Muhammad Hasan ◽  
Desi Nurul Hidayati
Keyword(s):  
Community Participation ◽  
Disaster Preparedness ◽  
Early Warning System ◽  
Research Result ◽  
Quantitative Description ◽  
Warning System ◽  
Disaster Mitigation ◽  
Disaster Area ◽  
Disturbed Zone ◽  
People Participation

Indonesia location is between four plates, there are: Eurasian, Indo-Australian, Philiphines, dan Pasicic. Subduction between plates make Indonesia disturbed a natural incident such as mountain eruption. One of disturbed mountain eruption disaster area is District Ngancar, Kediri Regency. This case because Ngancar location near Kelud slope. People participation for efforts mitigations is very important for reduced natural incident impact. The aim this paper to discuss form and level people participation in District Ngancar for efforts Kelud mountain eruption disaster mitigation. This research is survey with sample 100 from 5.340 head family. The data collected with interview and documentation, then analized by quantitative description with scoring and percentage. The research result showing that people in disaster disturbed zone I, II, and III get participation score each the amount of 1.425, 935, and 1.133. The participation action, include: elucidation disaster, organizing disaster preparedness, preparing self, making early warning system, and saving property.

scholarly journals The level participation in efforts mount Kelud eruption disaster mitigation in East Java

2019 ◽  
Vol 6 (1) ◽  
pp. 100-106
Author(s):  
Andri Estining Sejati ◽  
Muhammad Hasan ◽  
Desi Nurul Hidayati
Keyword(s):  
Early Warning ◽  
Disaster Preparedness ◽  
Early Warning System ◽  
Research Result ◽  
Quantitative Description ◽  
Warning System ◽  
Disaster Mitigation ◽  
Disaster Area ◽  
Disturbed Zone ◽  
People Participation

Indonesia location is between four plates, there are: Eurasian, Indo-Australian, Philiphines, dan Pasicic. Subduction between plates make Indonesia disturbed a natural incident such as mountain eruption. One of disturbed mountain eruption disaster area is District Ngancar, Kediri Regency. This case because Ngancar location near Kelud slope. People participation for efforts mitigations is very important for reduced natural incident impact. The aim this paper to discuss form and level people participation in District Ngancar for efforts Kelud mountain eruption disaster mitigation. This research is survey with sample 100 from 5.340 head family. The data collected with interview and documentation, then analized by quantitative description with scoring and percentage. The research result showing that people in disaster disturbed zone I, II, and III get participation score each the amount of 1.425, 935, and 1.133. The participation action, include: elucidation disaster, organizing disaster preparedness, preparing self, making early warning system, and saving property.

scholarly journals An integrated methodology to develop a standard for landslide early warning system

2016 ◽  
Author(s):  
Teuku Faisal Fathani ◽  
Dwikorita Karnawati ◽  
Wahyu Wilopo
Keyword(s):  
Early Warning ◽  
Disaster Preparedness ◽  
Early Warning System ◽  
Local Community ◽  
Warning System ◽  
Disaster Mitigation ◽  
Guidance System ◽  
Central Java ◽  
Response Team ◽  
Landslide Early Warning

Abstract. Landslides are one of the commonly occurring natural disasters with worldwide susceptibility. Some distinct features of these disasters are that the affected area has a high density of population, low accessibility and the locals have low level of knowledge about disaster mitigation. Considering these conditions, it is necessary to establish a standard for an early warning system specific to landslide disaster risk reduction. This standard is expected to be the guidance system in conducting detection, prediction, interpretation, and response in landslide disasters. This new standard introduces the seven sub-systems for landslide early warning, starting with risk assessment and mapping, dissemination and communication, establishment of disaster preparedness and response team, development of evacuation map, standardized operating procedures, installation of monitoring and warning services, and building a local commitment to the operation and maintenance of the entire program. Since 2012, Indonesia has implemented a trial for the seven sub-systems in 20 landslide-prone provinces throughout the country. An example of the application of the proposed methodology in a local community in Central Java, Indonesia is also described.

scholarly journals Feasibility study of earthquake early warning in Tehran, Iran

2021 ◽  
Author(s):  
S. Enferadi ◽  
Z. H. Shomali ◽  
A. Niksejel
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Disaster Mitigation ◽  
Lead Times ◽  
Worst Case ◽  
Earthquake Parameters ◽  
Earthquake Early Warning System ◽  
Earthquake Scenarios

AbstractIn this study, we examine the scientific feasibility of an Earthquake Early Warning System in Tehran, Iran, by the integration of the Tehran Disaster Mitigation and Management Organization (TDMMO) accelerometric network and the PRobabilistic and Evolutionary early warning SysTem (PRESTo). To evaluate the performance of the TDMMO-PRESTo system in providing the reliable estimations of earthquake parameters and the available lead-times for The Metropolis of Tehran, two different approaches were analyzed in this work. The first approach was assessed by applying the PRESTo algorithms on waveforms from 11 moderate instrumental earthquakes that occurred in the vicinity of Tehran during the period 2009–2020. Moreover, we conducted a simulation analysis using synthetic waveforms of 10 large historical earthquakes that occurred in the vicinity of Tehran. We demonstrated that the six worst-case earthquake scenarios can be considered for The Metropolis of Tehran, which are mostly related to the historical and instrumental events that occurred in the southern, eastern, and western parts of Tehran. Our results indicate that the TDMMO-PRESTo system could provide reliable and sufficient lead-times of about 1 to 15s and maximum lead-times of about 20s for civil protection purposes in The Metropolis of Tehran.

scholarly journals RISIKO KAWASAN LONGSOR DALAM UPAYA MITIGASI BENCANA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS

Pondasi ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 67
Author(s):  
Fakhryza Nabila Hamida ◽  
Hasti Widyasamratri
Keyword(s):  
Land Use ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Risk Mapping ◽  
Disaster Mitigation ◽  
Accurate Information ◽  
Loss Of Life ◽  
Landslide Disaster

ABSTRACTIndonesia is an area prone to landslides. The occurrence of this landslide disaster can cause a large impact such as damage and loss both material and non-material. The availability of complete and accurate information in controlling land use in landslide prone areas in the development of an area becomes very important in minimizing the loss of life and losses, both physical, social and economic. This information must be disseminated to the community as an early warning system in disaster mitigation efforts. Identification of the characteristics of landslide prone areas requires a risk mapping of landslide prone areas in efforts to mitigate disasters can be done using Geographic Information Systems (GIS). The results in this study indicate the need to identify disaster risk in detail because basically, an area threatened by disaster does not necessarily mean that each community has the same level of disaster risk. Mapping can be done by clustering or by identifying each building in a vulnerable area based on the level of risk of landslides. Keywords: risk analysis, landslides, disaster mitigation, GIS ABSTRAKIndonesia merupakan wilayah yang rawan terhadap bencana longsor. Terjadinya bencana longsor ini dapat menyebabkan dampak yang besar seperti kerusakan dan kerugian baik materiil maupun non materiil. Tersedianya informasi yang lengkap dan akurat dalam pengendalian pemanfaatan lahan di kawasan rawan bencana longsor dalam pengembangan suatu wilayah menjadi hal yang sangat penting dalam meminimalisir adanya korban jiwa dan kerugian-kerugian baik fisik, sosial maupun ekonomi. Informasi tersebut harus disebarkan kepada masyarakat sebagai sistem peringatan dini dalam upaya mitigasi bencana. Identifikasi karakteristik daerah rawan longsor diperlukan sebuah pemetaan risiko kawasan rawan longsor dalam upaya mitigasi bencana dapat dilakukan menggunakan Sistem Informasi Geografis (SIG). Hasil dalam penelitian ini menunjukkan perlunya identifikasi risiko bencana secara detail karena pada dasarnya, suatu kawasan yang terancam bencana belum tentu tiap masyarakatnya mempunyai tingkat risiko bencana yang sama. Pemetaan dapat dilakukan dengan pengklusteran maupun dengan identifikasi setiap bangunan dalam kawasan rawan berdasarkan tingkat risiko terhadap bencana tanah longsor.Kata Kunci: analisis risiko, tanah longsor, mitigasi bencana, GIS

Community participation in tsunami early warning system in Pangandaran town

2017 ◽  
Author(s):  
Sapari D. Hadian ◽  
Ute Lies Siti Khadijah ◽  
Encang Saepudin ◽  
Agung Budiono ◽  
Ayu Krishna Yuliawati
Keyword(s):  
Community Participation ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Tsunami Early Warning

scholarly journals Eruption Characteristic of the Sleeping Volcano, Sinabung, North Sumatera, Indonesia, and SMS Gateway for Disaster Early Warning System

2018 ◽  
Vol 50 (1) ◽  
pp. 70
Author(s):  
Sari Bahagiarti Kusumayudha ◽  
Puji Lestari ◽  
Eko Teguh Paripurno
Keyword(s):  
Sea Level ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Environmental Communication ◽  
Great Earthquake ◽  
Surrounding Area ◽  
People Participation ◽  
Long Time ◽  
North Latitude

Sinabung, the sleeping volcano since the year 1600 awakened and erupted in 2010, 2013, and 2015. The volcano is located in Karo District, North Sumatera Province, Indonesia, geographically on 3o10’ North Latitude, and 98o23, East Longitude. It is about 2460 m high above sea level, and the highest volcano of Sumatera. Sinabung has been estimated about 400 years long inactive, therefore categorized as B type of volcano. It was astonishing; Sinabung erupted on 27 August 2010, again on November 2013, and in May to June 2015. Awakening of the volcano hypothetically has been triggered by last decade earthquakes happened in North Sumatera and surrounding area, including the great earthquake and tsunami of Aceh, December 2004 that caused about 115,000 people died. Because of the volcano has been slept for a long time, people live in the surrounding area were not prepared yet to facing the eruption. In order to reduce the risk such a countermeasure should be developed especially that directly involving local people participation. In this case such an environmental communication system is needed to be developed, it is SMS gate way for disaster early warning system.

scholarly journals Design and Implementation of Real-Time Flood Early Warning System (FEWS) Based on IoT Blynk Application

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Hasbi Nur Prasetyo Wisudawan
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Average Temperature ◽  
Flood Warning ◽  
Flood Warning System

Disaster occurrence in Indonesia needs attention and role from all parties including the community to reduce the risks.  Disaster mitigation is one of the ways to reduce the disaster risk through awareness, capacity building, and the development of physical facilities, for example by applying disaster mitigation technology (early warning system, EWS). EWS is one of the effective methods to minimize losses due to disasters by providing warning based on certain parameters for disasters which usually occur such as floods. This research promotes a real-time IoT-based EWS flood warning system (Flood Early Warning System, FEWS) using Arduino and Blynk as well as Global System for Mobile Communication network (GSM) as the communication medium. The steps for implementing FEWS system in real locations are also discussed in this paper. Parameters such as water level, temperature, and humidity as well as rain conditions that are read by the EWS sensor can be accessed in real-time by using android based Blynk application that has been created. The result of the measurement of average temperature, humidity, and water level were 28.6 oC, 63.7 %, and 54.5 cm. Based on this analysis, the parameters indicated that the water level is in normal condition and there are no signs indicating that there will be flooding in the 30 days observation.  Based on the data collected by the sensor, FEWS can report four conditions, namely Normal, Waspada Banjir (Advisory), Siaga Banjir (Watch), and Awas Banjir (Warning) that will be sent immediately to the Blynk FEWS application user that has been created.

Special Issue on Early Warning for Natural Disaster Mitigation

2009 ◽  
Vol 4 (4) ◽  
pp. 529-529
Author(s):  
Masato Motosaka
Keyword(s):  
Research And Development ◽  
Natural Disaster ◽  
Earthquake Engineering ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Academic Community ◽  
Disaster Mitigation ◽  
Observation Data ◽  
Special Issue

Japan and many other counties face the risk of the natural disaster such as earthquakes, tsunamis, and floods. Natural disaster mitigation research and development are providing important, practical applications based on the development of the scientific technology. One major contribution is early warning system, being backed by observation and communication technology progress. Early warning research and development have been extensively studied domestically and internationally. Specifically, recent developments in earthquake engineering research and construction of seismic dense network have made it possible to issue earthquake warnings before the arrival of severe shaking. Such warnings enable emergency measures to be taken to protect lives, buildings, infrastructure, and transport from earthquake depredations. One such system went into practical use nationwide in Japan starting on October 1, 2007. Development has been conducted with cooperation of government, academic community and non-government, and private organizations. This special issue features papers on the early warning system for the natural disastermitigation covering issues ranging from natural science to social science. The recent developed earthquake early warning technology and its applications will be introduced. Besides earthquakes, the recent early warning technology for tsunami and flood are also included in this issue. The warning time available for tsunami and flood is much longer than that for earthquakes, and the contribution of numerical calculation using the real-time observation data differs with the type of disaster. Finally I would like to express my deepest gratitude for anonymous reviewers of papers in this special issue.

PENERAPAN ALGORITMA CLUSTERING DALAM MENGELOMPOKKAN BANYAKNYA DESA/KELURAHAN MENURUT UPAYA ANTISIPASI/ MITIGASI BENCANA ALAM MENURUT PROVINSI DENGAN K-MEANS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Mhd Gading Sadewo ◽  
Agus Perdana Windarto ◽  
Anjar Wanto
Keyword(s):  
Natural Disaster ◽  
Early Warning ◽  
Early Warning System ◽  
Clustering Algorithm ◽  
Warning System ◽  
Volcanic Eruptions ◽  
Disaster Mitigation ◽  
Assessment Process ◽  
The Government ◽  
The Village

Natural disasters are natural events that have a large impact on the human population. Located on the Pacific Ring of Fire (an area with many tectonic activities), Indonesia must continue to face the risk of volcanic eruptions, earthquakes, floods, tsunamis. Application of Clustering Algorithm in Grouping the Number of Villages / Villages According to Anticipatory / Natural Disaster Mitigation Efforts by Province With K-Means. The source of this research data is collected based on documents that contain the number of villages / kelurahan according to natural disaster mitigation / mitigation efforts produced by the National Statistics Agency. The data used in this study is provincial data consisting of 34 provinces. There are 4 variables used, namely the Natural Disaster Early Warning System, Tsunami Early Warning System, Safety Equipment, Evacuation Line. The data will be processed by clustering in 3 clushter, namely clusther high level of anticipation / mitigation, clusters of moderate anticipation / mitigation levels and low anticipation / mitigation levels. The results obtained from the assessment process are based on the Village / Kelurahan index according to the Natural Disaster Anticipation / Mitigation Efforts with 3 provinces of high anticipation / mitigation levels, namely West Java, Central Java, East Java, 9 provinces of moderate anticipation / mitigation, and 22 other provinces including low anticipation / mitigation. This can be an input to the government, the provinces that are of greater concern to the Village / Village According to the Natural Health Disaster Mitigation / Mitigation Efforts based on the cluster that has been carried out.Keywords: Data Mining, Natural Disaster, Clustering, K-Means

scholarly journals Early Warning System Technology Innovation Study in Flood Disaster Mitigation in Aren Village Area Bontang Disability

2019 ◽  
Vol 2 (2) ◽  
pp. 72
Author(s):  
Nikita Adriyani ◽  
Rio Jumardi ◽  
Al Rosyid Anggi Satrya ◽  
Zaini Zaini
Keyword(s):  
Early Warning System ◽  
Warning System ◽  
Black Box ◽  
Flood Disaster ◽  
Disaster Mitigation ◽  
Accurate Information ◽  
Research Approach ◽  
Black Box Testing ◽  
Innovation Study ◽  
Testing Techniques

<em>AWLR with the application of I Am Aren is been CSR program of PT Pupuk Kaltim that was developed as a flood disaster mitigation in order to be able to minimize the loss of society cause of flooding. Obtaining data used black-box testing techniques, surveys, and interviews which are then analyzed inductively. Respondents involved as many as 40 people for the survey and 20 people for the interview. The research approach used qualitative research. The results showed that the black-box testing for the recording feature was following the procedure and could provide accurate information. Respondents did not undergo problems in the using and the results of the implementation of the tool were able to reduce losses to 74.4% from the previous loss.</em>

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