scholarly journals Sistem Pendeteksi Dini Bencana Banjir Menggunakan Teknik DTMF (Dual Tone Multiple Frequency)

Respati ◽  
2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Andika Agus Slameto ◽  
Eko Pramono ◽  
Zainal Arifin

INTISARIBanjir adalah bencana alam yang sulit di deteksi kapan akan datang terutama di musim hujan. Meskipun sudah dilakukan upaya dengan melakukan analisis terhadap data curah hujan serta tinggi permukaan air setiap periodenya, namun upaya tersebut dirasa masih belum dapat menyelesaikan permasalahan yang ada. Selain dari sisi manusia nya sendiri, solusi dari sisi teknologi juga diharapkan dapat penyelesaian permasalahan ini. Teknologi untuk deteksi dini bencana banjir akan dibutuhkan sebagai alternatif untuk membantu menyelesaikan permasalahan serta membantu dalam proses pengambilan keputusan guna meningkatkan kinerja instansi yang bekerja untuk memantau volume air sungai sehingga memperoleh kondisi air yang lebih cepat dan akurat. Tinggi permukaan air tentu menjadi salah satu faktor yang menyebabkan potensi banjir dimana permukaan air dapat diukur. DTMF merupakan metode pensinyalan yang nantinya akan dipadukan dengan sensor yang dapat digunakan untuk mengukur ketinggian permukaan air yang hasilnya nanti akan dikirim melalui gelombang radio. Dengan pengiriman sinyal melalui gelombang radio ini maka akan lebih efektif karena tidak memerlukan biaya seperti halnya melalui sms dan IoT.Kata kunci— DTMF, Arduino, Pendeteksi Banjir, SWOT, Gelombang Radio ABSTRACTFloods are natural disasters that are difficult in the detection of when it will come mainly in the rainy season. Despite efforts by conducting an analysis of the data of rainfall and high water levels at each, but those efforts proved still unable to resolve the existing problems. Aside from the human side of his own, the solution from the tech side is also expected to be the resolution of this issue. Technology for early detection of catastrophic flooding will be required as an alternative to help solve problems as well as help in the decision-making process in order to improve the performance of agencies who work to monitor the volume of river water so obtain water conditions more quickly and accurately. High water levels would certainly be one of the factors that lead to potential flooding where water levels can be measured. DTMF signalling is a method which will be combined with sensors that can be used to measure the height of the surface of the water which results will be sent via radio waves. With the delivery of the signal via radio waves it then it will be more effective because it doesn't cost as much as through sms and IoT.Keyword — DTMF, Arduino, Flood Detection, SWOT, Radio Wave

1975 ◽  
Vol 2 (4) ◽  
pp. 381-391 ◽  
Author(s):  
J. W. Kamphuis

A number of lightweight coastal protection structures, built on the Lake Erie shore are discussed in this paper. There were two constraints on the design; limited funds and a very precarious downdrift beach. Thus the structures were inexpensive and the protection was low-key to prevent damage downdrift. In 1972–1974 these structures were subjected to a combination of large waves and high water levels and thus they were tested well beyond their design limits.The paper discusses the structures, their performance under normal conditions, and their performance during and after the abnormally high water levels. It is found that inexpensive, low-key structures are sufficiently strong to survive normal conditions, but fail by overtopping and flanking under conditions beyond their low design limits.


2016 ◽  
Vol 97 (1) ◽  
pp. 85-97 ◽  
Author(s):  
Frauke Hoss ◽  
Paul Fischbeck

Abstract Emergency managers (EMs) use National Weather Service (NWS) forecasts to prepare for and respond to severe weather events. To effectively facilitate such decision making, the NWS needs to understand this large and important group of clients. EMs translate the forecasts to local topography, suggest actions to take in preparation of high water levels, and use their local network and reputation to make people act. For this study, 17 EMs in towns along rivers were interviewed and asked to describe their use of river and weather forecasts. Forecast uncertainty is one of the many uncertainties an EM has to manage when coordinating an emergency response. Each of the interviewed EMs who uses river forecasts was acutely aware that river forecasts often have substantial uncertainty. To cope with this uncertainty, EMs engage in extensive information gathering before forming their own judgments. However, EMs often do not communicate their judgment of the situation to the public, fearing potential liability claims and backlash from the media. For emergency management decisions, while EMs do consider forecast data, they rely heavily on recorded data and monitoring crews, limiting the benefits of forecasts that can be made with significant lead time. This paper arrives at recommendations for the NWS on how to increase the value of river and weather forecasts for decision making in emergency management.


2018 ◽  
Vol 3 (3) ◽  
pp. 28-36
Author(s):  
Андрей Воронин ◽  
Andrey Voronin

Abstract: The article is targeted for those who researches problems of management theory and practice, as well as for decision-makers in the process of territorially-distributed corporate governance of state-owned companies. The main focus of the article is on the conceptual fundamental issues of time management, comparison of various modern approaches and practical tools of time management, as well as the existing problems of time management of territorially-distributed decision-making process in course of corporate governance of state-owned enterprises (on the example of Russian companies).


2018 ◽  
Author(s):  
Koen D. Berends ◽  
Menno W. Straatsma ◽  
Jord J. Warmink ◽  
Suzanne J. M. H. Hulscher

Abstract. Reduction of water levels during river floods is key in preventing damage and loss of life. Computer models are used to design ways to achieve this and assist in the decision making process. However, the predictions of computer models are inherently uncertain, and it is currently unknown to what extent that uncertainty affects predictions of flood mitigation strategies. In this study, we quantify the uncertainty of flood mitigation interventions on the Dutch River Waal, based on 39 different sources of uncertainty and twelve intervention designs. The aim of each intervention is to reduce flood water levels. Our objective is to investigate the uncertainty of model predictions of intervention effect and to establish relationships to aid in decision making. We show that the uncertainty of an intervention can be adequately described by the newly introduced relative uncertainty metric, defined as the ratio between the confidence interval and the expected effect. Using this metric, we show that intervention effect uncertainty behaves like a traditional backwater curve with a constant relative uncertainty value. In general, we observe that uncertainty scales with effect: high flood level decreases have high uncertainty and conversely, small effects are accompanied by small uncertainties. However, different interventions with the same expected effect do not necessarily have the same uncertainty. For example, our results show that the large-scale but relatively ineffective intervention of floodplain smoothing by removing vegetation, has much higher uncertainty compared to alternative options. Finally, we show that for a defined standard of acceptable uncertainty, interventions need to be over-designed to meet this standard, and by how much. In general, we conclude that the uncertainty of model predictions is not large enough to invalidate model-based decision making, nor small enough to neglect altogether. Instead, uncertainty information can be used to improve intervention design and enrich the decision making process.


Author(s):  
A.V. Sokolov ◽  
◽  
O.E. Komarov ◽  

In present day realities there is a growing need to build a dialogue between the government and civil society, to increase the degree of citizen participation in administrative and state activities. The best opportunity for building such effective interaction is the Internet. Digital feedback platforms can play a significant role in this interaction. They demonstrate interests of the society, make it possible to identify and promptly solve the existing problems, as well as facilitate the involvement of citizens in the preparation and decision-making process. The authors conducted an expert survey to identify the features of digital feedback platform functioning. As part of the study, the factors that stimulate the authorities to establish digital platforms have been identified. The authors also identified the degree of involvement of citizens in digital platforms in Russian regions. The study helped to identify the barriers of digital platforms development and theirs widespread use. The authors formulated recommendations for further elaboration and promotion of digital platforms.


2014 ◽  
Vol 23 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Mary Ann Abbott ◽  
Debby McBride

The purpose of this article is to outline a decision-making process and highlight which portions of the augmentative and alternative communication (AAC) evaluation process deserve special attention when deciding which features are required for a communication system in order to provide optimal benefit for the user. The clinician then will be able to use a feature-match approach as part of the decision-making process to determine whether mobile technology or a dedicated device is the best choice for communication. The term mobile technology will be used to describe off-the-shelf, commercially available, tablet-style devices like an iPhone®, iPod Touch®, iPad®, and Android® or Windows® tablet.


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