scholarly journals EVALUATION OF THE PHILIPPINE LIVESTOCK-POULTRY INFORMATION and EARLY WARNING SYSTEM PROJECT

2018 ◽  
Vol 2 (1) ◽  
pp. 57
Author(s):  
Anna Maria Lourdes S. Latonio
Keyword(s):  
Capacity Building ◽  
Early Warning ◽  
Early Warning System ◽  
National Level ◽  
Warning System ◽  
Policy Decision ◽  
Department Of Agriculture ◽  
Broiler Meat ◽  
The Government ◽  
System Project

The lead implementers of the Livestock Poultry Information – Early Warning System (LPI-EWS) project recognized the need to identify the strengths and weaknesses of the project, to further enhance the appropriate methodologies developed for a more responsive early warning system for broiler meat and pork to be properly guided in their planning and policy decision–making. The evaluation focused on the project’s strengths or weaknesses in terms of how it was able to achieve its set objectives, that are: to enhance network and access of unified data holdings within and among Department of Agriculture (DA) livestock agencies and statistical agencies, as well as its effectiveness in strengthening linkages with the private agribusiness sector (PABS), and with regards to the goal of capacity building and target publications. The relevance of the project is recognized, both by the personnel from the collaborating agencies as well as the PABS. The concept and manner by which the project is being implemented is commendable in that its many components and objectives were all touched simultaneously by the different activities conducted. The project was able to enhance network and access of unified data holdings within and among DA livestock agencies and had strengthened linkages between the government and the PABS. Goals with regards to capacity building and target publications were also achieved. At the national level Situation and Outlook for Broiler and Situation and Outlook for Swine are quarterly published and at the subnational level the Situationer Report for Broiler and Situationer Report for Swine are now being produced in the Batch I Regions III, IVA and X.

scholarly journals Retrospective Study on the Seasonal Forecast-Based Disease Intervention of the Wheat Blast Outbreaks in Bangladesh

2020 ◽  
Vol 11 ◽  
Author(s):  
Kwang-Hyung Kim ◽  
Eu Ddeum Choi
Keyword(s):  
Retrospective Study ◽  
Risk Prediction ◽  
Early Warning ◽  
Early Warning System ◽  
Disease Risk ◽  
National Level ◽  
Warning System ◽  
Seasonal Forecast ◽  
Seasonal Forecasts ◽  
Wheat Blast

Seasonal disease risk prediction using disease epidemiological models and seasonal forecasts has been actively sought over the last decades, as it has been believed to be a key component in the disease early warning system for the pre-season planning of local or national level disease control. We conducted a retrospective study using the wheat blast outbreaks in Bangladesh, which occurred for the first time in Asia in 2016, to study a what-if scenario that if there was seasonal disease risk prediction at that time, the epidemics could be prevented or reduced through prediction-based interventions. Two factors govern the answer: the seasonal disease risk prediction is accurate enough to use, and there are effective and realistic control measures to be used upon the prediction. In this study, we focused on the former. To simulate the wheat blast risk and wheat yield in the target region, a high-resolution climate reanalysis product and spatiotemporally downscaled seasonal climate forecasts from eight global climate models were used as inputs for both models. The calibrated wheat blast model successfully simulated the spatial pattern of disease epidemics during the 2014–2018 seasons and was subsequently used to generate seasonal wheat blast risk prediction before each winter season starts. The predictability of the resulting predictions was evaluated against observation-based model simulations. The potential value of utilizing the seasonal wheat blast risk prediction was examined by comparing actual yields resulting from the risk-averse (proactive) and risk-disregarding (conservative) decisions. Overall, our results from this retrospective study showed the feasibility of seasonal forecast-based early warning system for the pre-season strategic interventions of forecasted wheat blast in Bangladesh.

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 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.

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

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 The Capacity Building programmes of GITEWS – visions, goals, lessons learned, and re-iterated needs and demands

2011 ◽  
Vol 11 (2) ◽  
pp. 293-300 ◽  
Author(s):  
T. Schlurmann ◽  
M. Siebert
Keyword(s):  
Capacity Building ◽  
Risk Reduction ◽  
Early Warning ◽  
Early Warning System ◽  
Disaster Risk Reduction ◽  
Local Level ◽  
Warning System ◽  
Disaster Risk ◽  
Coastal Regions ◽  
Tsunami Early Warning

Abstract. It was envisioned that the framework of the German-Indonesian Tsunami Early Warning System (GITEWS) should achieve an integral architecture and overarching technical design of an end-to-end tsunami early warning system (TEWS). In order to achieve this ambitious goal on a national and local level, a tailored set of capacity building measures has been started and implemented. The programme was meant and designed to meet requirements and urgent needs considering awareness raising campaigns, technical trainings and higher level education programs. These components have been integrated as complementary modules in order to ensure facilitating the early warning system to be operated, maintained and improved, and that institutions and people in coastal areas will respond adequately and timely in case of future tsunamis. Remarkable progress has been accomplished as well as programs and campaigns are being implemented in regard to a sustainable capacity development conducted by national institutions in Indonesia. Yet, local administrative and preparedness efforts on the Indonesian coastlines are still underdeveloped. This stems from the fact of missing links towards sustainable coastal zone management schemes on a broad local level. Yet, the demand and urgent need for an adequate and integrated disaster risk reduction and management addressing also other hazards in the region of interest is (still) substantial. Given the tragic loss of life and severe damages resulting from the December 2004 tsunami and recent series of severe earthquakes, the need for urgent mitigating action in the imperilled coastal regions of Sumatra and Java remains extremely high. The conceptual Capacity Building framework, its anticipated goals in the beginning of the project and, lately, the finally achieved objectives are promising. A significant contribution for mainstreaming scientific approaches and transfer methodological disaster risk reduction attempts towards other regions exposed to coastal hazards is still pending. Local authorities and researchers in tentative affected regions are now trained and enabled to disseminate and apply their knowledge and planning experience to other coastal regions in the area to help facilitating and multiplying effective disaster management plans and strategies. Yet, the Capacity Building framework within GITEWS also elucidated gaps in the early warning chain so that updated and to some extent re-iterated needs and demands in Capacity Building programs in any future research or development cooperation project are presented and discussed.

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>

scholarly journals Three-Month Real-Time Dengue Forecast Models: An Early Warning System for Outbreak Alerts and Policy Decision Support in Singapore

2016 ◽  
Vol 124 (9) ◽  
pp. 1369-1375 ◽  
Author(s):  
Yuan Shi ◽  
Xu Liu ◽  
Suet-Yheng Kok ◽  
Jayanthi Rajarethinam ◽  
Shaohong Liang ◽  
...  
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Policy Decision ◽  
Forecast Models

scholarly journals Community Perception of Activation Sirine Tsunami in Banda Aceh and Aceh Besar

2019 ◽  
Vol 6 (4) ◽  
pp. 282
Author(s):  
Khairina Idzni ◽  
Yusya Abubakar
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Public Perception ◽  
Quantitative Methods ◽  
Warning System ◽  
Average Score ◽  
Community Perception ◽  
Average Value ◽  
Validated Questionnaire ◽  
The Government

After the earthquake and tsunami in Aceh on December 26, 2004, the government has developed an early warning system calledInaTEWS (Indonesia Tsunami Early Warning System) using a tsunami siren that aims to build community capacity to prepare and take action on tsunami hazards. The purpose of this study was to determine public knowledge, the benefits of siren activation, sound range and public perception of tsunami siren activation. Data collection uses descriptive qualitative and quantitative methods with instruments in the form of a validated questionnaire. Respondents involved were people who lived within a radius of 1 km, 2 km, and 3 km from the tsunami siren point. H asyl research shows that people's perceptions of tsunami siren activation vary , with the level of community knowledge being classified as good (with an average value of 77 , 25 %), as well as the benefits of tsunami siren activation being considered good by the community (with an average rating of 76 , 05%). The range of siren sounds is still quite sufficient (with an average value of 74 , 44 %) and the average public perception of siren activation as a whole is 76% with a good category. Even though the category is good, the average score is not maximal yet. Therefore, to increase knowledge and benefit from tsunami siren activation, awareness and care from the community must be raised. The government must also continue to deliver disaster information on an ongoing basis so that the community can fully understand the function of the tsunami siren.

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