scholarly journals A web-based decision support system for smart dam operations using weather forecasts

2019 ◽  
Vol 21 (5) ◽  
pp. 687-707 ◽  
Author(s):  
Shahryar Khalique Ahmad ◽  
Faisal Hossain
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Open Source ◽  
Support System ◽  
Prediction Models ◽  
Weather Prediction ◽  
Atmospheric Modeling ◽  
Modeling Framework ◽  
Web Based ◽  
Weather Forecasts

Abstract A web-based open-source decision support system (DSS) was developed to facilitate real-world engagement with dam-operating agencies in the decision-making process involving atmospheric modeling, hydrologic modeling, and web technology. The development process was decoupled into the container (frontend) and the modeling framework for the content (backend), to arrive at an intelligent system that improves the productivity and independent reuse of each component. The backend framework uses the weather forecasts from Numerical Weather Prediction models, downscales to a finer resolution, and simulates hydrologic and data-based artificial neural network models to optimize operations. The frontend architecture disseminates the forecasted meteorological variables, reservoir inflow, optimized operations, and retrospective weekly assessment of forecasts and hydropower benefits. The framework is automated and operationalized over the Detroit dam (Oregon) to generate the daily optimized release decisions. However, backend scripts and frontend elements are flexible and customizable enough that the DSS can be reproduced for other dams. The optimization of reservoir operations based on weather forecasts results in significant additional hydropower benefit without compromising other objectives when compared to the conventional operations. More importantly, the platform helps visualize for the dam operator how much more ‘smarter’ operations can be if weather forecasts and open-source technology are used.

IrrigaSys: A web-based irrigation decision support system based on open source data and technology

2020 ◽  
Vol 178 ◽  
pp. 105822 ◽  
Author(s):  
Lucian Simionesei ◽  
Tiago B. Ramos ◽  
Jorge Palma ◽  
Ana R. Oliveira ◽  
Ramiro Neves
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Open Source ◽  
Support System ◽  
Web Based ◽  
Open Source Data ◽  
Source Data

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

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.

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

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.

scholarly journals The Vida Decision Support System: an integrated modeling framework to inform and monitor regional COVID-19 responses

2020 ◽  
Author(s):  
Jack Reid ◽  
Katlyn Turner ◽  
Seamus Lombardo ◽  
Mulan Jiang ◽  
David Lagomasino ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Integrated Modeling ◽  
Modeling Framework

scholarly journals A Web-Based Tourist Decision Support System for Agra City

2011 ◽  
pp. 51-54
Author(s):  
Sunil Pratap Singh ◽  
Jitendra Sharma ◽  
Preetvanti Singh
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Information And Communication Technologies ◽  
Support System ◽  
Communication Technologies ◽  
Tourism Industry ◽  
Web Based ◽  
Cultural Aspects ◽  
Information And Communication ◽  
Agra City

In the last decade the use of Information and Communication Technologies (ICT) have boomed in many sectors, such as business, education, commerce and have profound implications for the tourism industry. They are being used extensively in a great variety of functions and count innumerable applications. Among these, Decision Support System (DSS) plays a fundamental role for their capacity to give tourist managing their tours and to base all the decisions concerning to queries on the climate, road conditions, cultural aspects, lodging, health facilities, banking, etc. of the location to be visited on sound and rational bases. In the present paper, a Web-Based Tourist Decision Support System (WTDSS) for Agra City has been developed that allows the traveling community to find their route in city and ask for information about sights, accommodations and other places of interest which are near by to him to improve the convenience, safety and efficiency of travel.

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