scholarly journals PELATIHAN ALAT PERINGATAN DINI MANDIRI BENCANA LONGSOR DAN BANJIR PADA KARANG TARUNA KELURAHAN SEMPUR KECAMATAN BOGOR TENGAH

2020 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Anwar Mujadin ◽  
Octarina Nur Samijayani ◽  
Suci Rahmatia
Keyword(s):  
Public Service ◽  
Early Warning ◽  
Early Warning System ◽  
Training Session ◽  
Warning System ◽  
Residential Area ◽  
Disaster Mitigation ◽  
Service Program ◽  
Community Behavior ◽  
The Government

<p><strong>Abstrak</strong></p><p><em>Menurut Pusat Vulkanologi dan Mitigasi Bencana Geologi (PVMBG) menyebutkan kelurahan Sempur kecamatan Bogor Tengah ditetapkan sebagai kawasan rawan longsor dan Banjir. Kelurahan ini adalah pemukiman penduduk yang berlokasi di daerah tanah lembah bertebing serta di pinggir aliran sungai Ciliwung. Saat ini daerah potensi sering terjadi longsoran adalah daerah RW 05, 06 dan 07 atau berada tepat di area belakang Rumah Sakit Salak sampai Tugu Air Mancur (sempur kaler). Melalui program Prime Public Service 2019 UAI, telah dilakukan pelaksanaan program pemperdayaan masyarakat berbentuk pelatihan alat peringatan dini mandiri bencana longsor dan banjir kepada mitra karang taruna kelurahan Sempur kecamatan Bogor Tengah. Pelatihan dilaksanakan diruang serbaguna kelurahan Sempur, tiap hari minggu jam 13.00 WIB dengan 10 kali pertemuan (3-4) jam. Di setiap akhir sesi pelatihan mitra, kit praktek harus diuji coba dan diimplementasikan langsung pada titik lokasi rawan bencana.</em> <em>Hasil kegiatan telah berhasil merubah mindset mitra (remaja) agar bisa berfikir rasional akan keselamatan diri sendiri maupun orang lain terhadap bencana alam.</em> <em>Perilaku masyarakat pada daerah rawan bahaya mampu dikendalikan secara elektronik melalui alat peringatan dini elektronik buatan mitra setempat. Penyediaan alat peringatan dini dari pemerintah umumnya akan dirusak maupun dicuri. Namun bila alat peringatan dini elektronik buatan masyarakat sendiri, minimal akan dijaga dan dirawat terus.</em></p><p><strong>Kata Kunci: <em>Alat Pemindai Longsor, Pemindai Gempa, Pemindai Banjir</em></strong></p><p> </p><p><strong>Abstract</strong></p><p>According to Volcanology and Geological Disaster Mitigation (PVMBG) department, kelurahan Sempur kecamatan Bogor Tengah is designated as an area prone to landslides and floods. Kelurahan Sempur is a residential area located in a cleared valley and along the Ciliwung River. Potential areas for landslides often occur are RW 05, 06 and 07 located behind the Salak Hospital to Tugu Air Mancur. Through UAI Prime Public Service program 2019, has been carried out training program for early warning system landslides and floods devices to youth partners in Sempur. Training has been conducted in multipurpose room kelurahan Sempur office, every Sunday at 13.00 West Indonesia Time, with 10 meetings among 3-4 hours. Each training session, the practice kit must be tested and implemented directly at disaster-prone locations. Training has succeeded in changing the mindset of youth partners so that they can think rationally about the safety of themselves and others against disasters. Community behavior in hazard-prone areas can be controlled electronically through electronic early warning system devices made by youth partners. The Provision of early warning equipment from the government will generally be damaged or stolen. However, if the electronic early warning devices is made by the community itself, They will always be cared for and looked after.</p><p><strong>Keywords: <em>Lanslides Scanners, Earthquake Scanners, Flood Scanners</em></strong></p>

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 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

scholarly journals Evaluasi Penerapan Sistem Peringatan Dini Bencana Longsor di Kampung Jatiradio, Desa Cililin, Kecamatan Cililin, Kabupaten Bandung Barat

2020 ◽  
Vol 4 (1) ◽  
pp. 9-18
Author(s):  
Nana Sudiana
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Disease Outbreaks ◽  
Warning System ◽  
National Standard ◽  
Industrial Accidents ◽  
Soil Movement ◽  
Analysis And Evaluation ◽  
Landslide Early Warning ◽  
The Government

Indonesian territory is a disaster-prone region. There are at least 12 disaster threats that are grouped in geological disasters (earthquakes, tsunamis, volcanoes, landslides), hydrometeorological disasters (floods, flash floods, droughts, extreme weather, extreme waves, forest and land fires), and anthropogenic disasters (epidemics of disease outbreaks and failed technology-industrial accidents). Landslides or land movements in Indonesia in recent years have increased in intensity and frequency. One of the efforts to reduce the risk of landslides that has been carried out by the Disaster Risk Reduction Technology Center-BPPT is to build an Landslide Early Warning System in Jatiradio Village, Cililin District, West Bandung Regency. In order to uniform the implementation of an early warning system for landslides or land movements in disaster prone areas, the government has established a national standard namely SNI 8235: 2017 on the Early Warning System for Land Movements. The purpose of this study is to evaluate the compliance between the Landslide Early Warning System that has been developed by PTRRB-BPPT with the Indonesian National Standard for the Land Movement Early Warning System (SNI 8235: 2017). Based on the results of data analysis and evaluation, it can be concluded that the implementation of the landslide early warning system in Jatiradio Village, Cililin Village, Cililin District, West Bandung Regency is in accordance with the Indonesian National Standard (SNI 8235: 2017) concerning the Soil Movement 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.

scholarly journals Accelerating information of tsunami disaster using early warning system (EWS) Devices: smart solution for communication, navigation and surveillance due to tidal sea level

2021 ◽  
Vol 331 ◽  
pp. 07008
Author(s):  
Nurhadi Santosa ◽  
Nadjadji Anwar ◽  
Bangun Muljo Sukojo ◽  
Wesam Al Madhoun
Keyword(s):  
Sea Level ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
The Public ◽  
New Device ◽  
Tsunami Disaster ◽  
Tsunami Risk ◽  
The Government ◽  
Community Sector

Oneof the important aspects in reducing Tsunami Risk is understanding Natural Hazards. The loss of INA TEWS equipment worth hundreds of billions of rupiah and the occurrence of the Tsunami in Aceh and other parts of Indonesia are warnings that our society needs the help of effective early warning tools at affordable prices. Using this device will make it easier for the community to monitor natural events from the field and reduce disaster risk. Currently the government has purchased hundreds of units of JRC-UNESCO products, namely IDSL (Inexpensive Device for Sea Level), but this device takes 21 minutes of information to reach the community. Therefore, a new device that has been prepared is needed. (FIDELA EARLY WARNING SYSTEM/FEWS) is a tool that involves the Equipment sector, Operations sector and Community sector. The results shows that this device is that the time for sending information to the public is only 5 minutes.

Methodology to Develop the Early Warning System for Residual Value Risk of Public Private Partnership Projects

2014 ◽  
Vol 1065-1069 ◽  
pp. 2397-2400
Author(s):  
Tie Lan Teng ◽  
Qi Ming Li ◽  
Jing Feng Yuan
Keyword(s):  
Statistical Analysis ◽  
Early Warning ◽  
Questionnaire Survey ◽  
Early Warning System ◽  
Warning System ◽  
Main Function ◽  
Residual Value ◽  
Private Partnership ◽  
System Vulnerability ◽  
The Government

The Early Warning System (EWS) was developed in this research aiming to forecast and monitor the Residual Value Risk (RVR) in PPP projects. RVR is a structured risk system which would happen at any time in the whole life before transfer of PPP projects, but consequently causes the Residual Value (RV) that the Government takes over cannot fulfill the specifications. To establish the EWS of RVR, the factor system was identified through questionnaire survey and evaluated based on statistical analysis. Besides the RVR could be learned by CBR, so a great amount of history PPP projects which have been already transferred should be structured into a case base. Furthermore, the conception of System vulnerability was applied to open up the link between the RVR and the RV, and the proper method was selected to determine the early-warning threshold. The main function of the EWS is monitoring the RVR of current PPP projects and warning the potential RV threat or opportunity.

Design of early Warning System of Agricultural Products in the Data Warehouse

2011 ◽  
Vol 217-218 ◽  
pp. 656-661
Author(s):  
Li Juan Zhou ◽  
Kang Li ◽  
Xiao Xu He
Keyword(s):  
Early Warning ◽  
Agricultural Production ◽  
Early Warning System ◽  
Agricultural Sector ◽  
Supply And Demand ◽  
Warning System ◽  
Weather Conditions ◽  
System Structure ◽  
Government Control ◽  
The Government

As Chinese socialist market economy gradually has been improved, there is a lag in the agricultural production.It is a very possible research for the agricultural sector to make agricultural production policies to develop appropriate based on the government control means, consumer behavior, agricultural supply and demand balance, the outside weather conditions and other factors. In this paper, we proposed agricultural early warning system structure and function modules. It is based on the external conditions for agricultural production, agricultural consumer groups, consumer habits, especially focusing on the production and analysis module, analysis module prices and consumer modules.

scholarly journals IoT-based Lava Flood Early Warning System with Rainfall Intensity Monitoring and Disaster Communication Technology

2021 ◽  
Vol 4 ◽  
pp. 154-166
Author(s):  
Iswanto Suwarno ◽  
Alfian Ma’arif ◽  
Nia Maharani Raharja ◽  
Adhianty Nurjanah ◽  
Jazaul Ikhsan ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Communication Systems ◽  
Warning System ◽  
Rain Gauge ◽  
Disaster Mitigation ◽  
Vibration Sensor ◽  
Decision Algorithm ◽  
Disaster Communication ◽  
Flood Detection

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

Sign in / Sign up

Export Citation Format

Share Document