The design of a web-based decision support system for the sustainable management of an urban river system

2002 ◽  
Vol 46 (6-7) ◽  
pp. 131-139 ◽  
Author(s):  
Y.-C. Chang ◽  
N.-B. Chang

The effects of urbanization on the aquatic environment, and solutions to the deterioration of water quality and stream ecology in the Love River have long been the main focus of environmental management in southern Taiwan. Apart from choosing the regular strategies of installing an intercept and sewer system, coastal wastewater treatment plant, and ocean outfall pipe, a new opportunity for improving the overall managerial efficiency is to design and implement a web-based Decision Support System (DSS). This DSS must be capable of managing storm water impacts when overflow is inevitable, river water quality variations leading to influences on the ecosystem, and changing land use programs along river corridors and adjacent urban areas simultaneously. This paper presents a new design framework for building such a DSS. By using the advanced information technology in the “Internet” environment, the proposed DSS may perform normal queries and statistical analyses in a web-enabled database, spatial analysis via the use of a Geographic Information System (GIS) in the Internet environment, and essential data warehousing/data mining. Possible linkage with various analytical models is anticipated. Such a DSS must be helpful for achieving the rehabilitation of the estuarine ecosystem and satisfying the goals for sustainable management in a regional sense.

2005 ◽  
Vol 11 (2) ◽  
pp. 91-97 ◽  
Author(s):  
Artūras Kaklauskas ◽  
Mindaugas Gikys

One of the major problems in Multiple Listing Service Systems is to find what you want. Number of real estate alternatives on the Internet is thousands. How can customers find the rational alternative on the Internet? Once real estate is found, the customer usually wants to compare alternatives. There are five types of aids to comparison shopping: search on hypertext files by agents, search alternatives on databases, alternative search and tabular comparison, comparison of alternative products and services from multiple malls, search and multiple criteria decision‐making. Therefore, the efficiency of Multiple Listing Service Systems may be increased by applying multiple criteria decision support systems developed by authors. The authors have developed Web‐based Decision Support System for Real Estate (DSS‐RE). Proposed DSS‐RE can create value in next important ways: help customers assess their needs, identify suitable real estate to fulfil needs, compare and evaluate real estate, help customers evaluate the usefulness of the real estate in the after‐purchase evaluation stage, etc.


2020 ◽  
Vol 89 (sp1) ◽  
pp. 139
Author(s):  
Saka Sujith Kumar ◽  
Uma Shankar Panda ◽  
Uma Kanta Pradhan ◽  
Pravakar Mishra ◽  
Mallavarapu Venkata Ramana Murthy

2011 ◽  
Vol 47 (5) ◽  
pp. 1136-1150 ◽  
Author(s):  
Nathaniel L. Booth ◽  
Eric J. Everman ◽  
I-Lin Kuo ◽  
Lori Sprague ◽  
Lorraine Murphy

2016 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Fatikhatus Sholikhah ◽  
Diema Hernyka Satyareni ◽  
Chandra Sukma Anugerah

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.


2019 ◽  
Vol 2 (1) ◽  
pp. 40-46
Author(s):  
Rikardo Chandra ◽  
Izmy alwiah Musdar ◽  
Junaedy .

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.


2017 ◽  
Vol 31 (3) ◽  
pp. 330-344 ◽  
Author(s):  
Dan Stein ◽  
Gopal Achari ◽  
Cooper H. Langford ◽  
Mohammed H. I. Dore ◽  
Husnain Haider ◽  
...  

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