Prototype of a Web-based Participative Decision Support Platform in Natural Hazards and Risk Management

<p>In recent years in mountain areas, natural hazards such as rockfalls, avalanches and mudflows, triggered by ongoing climate change have increased in both frequency and magnitude. Hazards that, accompanied by increasing demographic pressure, socio-economic and land-use changes, especially in the Alpine region, have called for a greater need for human protection. This demand can be met with artificial structures, such as rockfall nets and avalanche fences, or with natural solutions, such as forests if properly managed. However, the protection service provided by forests, against natural hazards is difficult to value because it has no target market. Therefore, providing a value for this service would allow it to be integrated into risk management plans and programs. In this work, we analyzed from a qualitative and quantitative point of view the most widely used economic methods for estimating the protection service provided by forests against natural hazards, providing a decision support tool for stakeholders involved in risk management. The main results indicate that, depending on the resources and time available, as well as the spatial and temporal scale required, some methods are preferable to others. The Replacement Cost method is well suited to most operational contexts in which stakeholders may find themselves, as it is replicable, cost-effective and results are reliable and easily communicated. Although the Avoided Damages method refers to market data and is also capable of estimating indirect costs, it has the limitation of being site-specific. While the stated preference methods are suited for long-term evaluations on a large spatial scale, they require a high level of expertise and are costly in terms of both time and resources. From our analysis, we can conclude that the provided decision support tool should not replace the human ability to analyze complex situations, but rather be an aid to this process. The combination of this tool with others, such as frameworks and guidelines, provides a flexible support system aimed at improving the design and implementation of future ecosystem service assessments and management, as well as related decision-making.</p>

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Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

Register Jurnal Ilmiah Teknologi Sistem Informasi ◽

10.26594/r.v2i1.444 ◽

2016 ◽

Vol 2 (1) ◽

pp. 40

Author(s):

Fatikhatus Sholikhah ◽

Diema Hernyka Satyareni ◽

Chandra Sukma Anugerah

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Customer Loyalty ◽

Design Decision ◽

Web Based ◽

Business World ◽

Election System ◽

Simple Additive Weighting ◽

The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

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WDSS: Web-Based Decision Support Systems

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2019/4381.12019 ◽

2019 ◽

pp. 238-244

Author(s):

Abdullah Manal ◽

Keyword(s):

Decision Support ◽

Decision Support Systems ◽

Support Systems ◽

Web Based

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IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN

SINTECH (Science and Information Technology) Journal ◽

10.31598/sintechjournal.v2i1.316 ◽

2019 ◽

Vol 2 (1) ◽

pp. 40-46

Author(s):

Rikardo Chandra ◽

Izmy alwiah Musdar ◽

Junaedy .

Keyword(s):

Decision Support ◽

Decision Support System ◽

Programming Language ◽

Support System ◽

Naive Bayes ◽

Naïve Bayes ◽

Web Based ◽

Tourist Attractions ◽

South Sulawesi

This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists. The expected benefit of this research is to help the user get the best tourist recommendation information available in South Sulawesi based on the conditions in input factors. The theorem or method used in this study, namely the theorem Naïve Bayes. The design of the system isimplemented using PHP programming language and MYSQL database. Based on the results of the research, the authors have successfully built the application of decision support system to determine the recommendation of tourist attractions in South Sulawesi with 65% accuracy based on 20 tests conducted.

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WebFRIS: An efficient web-based decision support tool to disseminate end-to-end risk information for flood management

Journal of Environmental Management ◽

10.1016/j.jenvman.2021.112456 ◽

2021 ◽

Vol 288 ◽

pp. 112456

Author(s):

Mohit Prakash Mohanty ◽

Subhankar Karmakar

Keyword(s):

Decision Support ◽

Decision Support Tool ◽

Flood Management ◽

Risk Information ◽

Web Based ◽

Support Tool ◽

End To End

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A Qualitative Study on the US Forest Service’s Risk Management Assistance Efforts to Improve Wildfire Decision-Making

Forests ◽

10.3390/f12030344 ◽

2021 ◽

Vol 12 (3) ◽

pp. 344

Author(s):

Courtney A. Schultz ◽

Lauren F. Miller ◽

Sarah Michelle Greiner ◽

Chad Kooistra

Keyword(s):

Decision Making ◽

Risk Management ◽

Decision Support ◽

Qualitative Study ◽

Fire Management ◽

Perceived Value ◽

Forest Service ◽

The Us ◽

Decision Biases ◽

Line Officers

To support improved wildfire incident decision-making, in 2017 the US Forest Service (Forest Service) implemented risk-informed tools and processes, together known as Risk Management Assistance (RMA). The Forest Service is developing tools such as RMA to improve wildfire decision-making and implements these tools in complex organizational environments. We assessed the perceived value of RMA and factors that affected its use to inform the literature on decision support for fire management. We sought to answer two questions: (1) What was the perceived value of RMA for line officers who received it?; and (2) What factors affected how RMA was received and used during wildland fire events? We conducted a qualitative study involving semi-structured interviews with decision-makers to understand the contextualized and interrelated factors that affect wildfire decision-making and the uptake of a decision-support intervention such as RMA. We used a thematic coding process to analyze our data according to our questions. RMA increased line officers’ ability to communicate the rationale underlying their decisions more clearly and transparently to their colleagues and partners. Our interviewees generally said that RMA data analytics were valuable but did not lead to changes in their decisions. Line officer personality, pre-season exposure to RMA, local political dynamics and conditions, and decision biases affected the use of RMA. Our findings reveal the complexities of embracing risk management, not only in the context of US federal fire management, but also in other similar emergency management contexts. Attention will need to be paid to existing decision biases, integration of risk management approaches in the interagency context, and the importance of knowledge brokers to connect across internal organizational groups. Our findings contribute to the literature on managing change in public organizations, specifically in emergency decision-making contexts such as fire management.

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Challenges involved in establishing a web-based clinical decision support tool in community health centers

Healthcare ◽

10.1016/j.hjdsi.2020.100488 ◽

2020 ◽

Vol 8 (4) ◽

pp. 100488

Author(s):

Rachel Gold ◽

Mary Middendorf ◽

John Heintzman ◽

Joan Nelson ◽

Patrick O'Connor ◽

...

Keyword(s):

Decision Support ◽

Community Health ◽

Clinical Decision Support ◽

Community Health Centers ◽

Decision Support Tool ◽

Clinical Decision ◽

Health Centers ◽

Web Based ◽

Support Tool ◽

Clinical Decision Support Tool

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Modeling of Bank Credit Risk Management Using the Cost Risk Model

Journal of Risk and Financial Management ◽

10.3390/jrfm14050211 ◽

2021 ◽

Vol 14 (5) ◽

pp. 211

Author(s):

Iryna Yanenkova ◽

Yuliia Nehoda ◽

Svetlana Drobyazko ◽

Andrii Zavhorodnii ◽

Lyudmyla Berezovska

Keyword(s):

Risk Management ◽

Decision Support ◽

Credit Risk ◽

Risk Model ◽

Bank Credit ◽

Credit Risk Management ◽

Loan Default ◽

Increased Risk ◽

Credit Portfolio ◽

Cost Risk

This article deals with the issue of managing bank credit risk using a cost risk model. Modeling of bank credit risk management was proposed based on neural-cell technologies, which expand the possibilities of modeling complex objects and processes and provide high reliability of credit risk determination. The purpose of the article is to improve and develop methodical support and practical recommendations for reducing the level of risk based on the value-at-risk (VaR) methodology and its subsequent combination with methods of fuzzy programming and symbiotic methodical support. The model makes it possible to create decision support subsystems for nonperforming loan management based on the neuro-fuzzy approach. For this paper, economic and mathematical tools (based on the VaR methodology) were used, which made it possible to analyze and forecast the dynamics of overdue payment; assess the quality of the credit portfolio of the bank; determine possible trends in bank development. A scientific and practical approach is taken to assess and forecast the degree of credit problematicity by qualitative criteria using a mathematical model based on a fuzzy technology, which can forecast the increased risk of loan default at an early stage in the process of monitoring the loan portfolio and model forecasting changes in the degree of credit problematicity on change of indicators. A methodology is proposed for the analysis and forecasting of indicators of troubled loan debt, which should be implemented as software and included in the decision support system during the process of monitoring the risk of the bank’s credit portfolio.

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