scholarly journals Web-Based Forest Resources Management Decision Support System

Forests ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 1079 ◽  
Author(s):  
Marco Marto ◽  
Keith Reynolds ◽  
José Borges ◽  
Vladimir Bushenkov ◽  
Susete Marques ◽  
...  

In this paper, we present a web-based decision support system (DSS)—wSADfLOR—to facilitate the access of stakeholders to tools that may contribute to enhancing forest management planning. The emphasis is on a web-based architecture and a web graphic user interface (wGUI) that may effectively support the analysis of trade-offs between ecosystem services in order to address participatory and sustainable forest management objectives. For that purpose, the wGUI provides remote access to a management information system, enabling users to analyze environmental and biometric data and topological information as well. Moreover, the wGUI provides remote access to forest simulators so that users may define and simulate prescriptions such as chronological sequences of management options and the corresponding forest ecosystem services outcomes. Remote access to management planning methods is further provided so that users may input their objectives and constraints. The wGUI delivers information about tradeoffs between ecosystem services in the form of decision maps so that users in different locations may negotiate bundles of ecosystem services as well as the plan needed to provide them. The multiple criteria programming routines provide proposals for management plans that may be assessed further, using geographical and alphanumeric information provided by the wGUI. Results for an application to a forested landscape extending to 14,388 ha are presented and discussed. This landscape provides several ecosystem services and the development of its management plan involves multiple stakeholders. Results show that the web-based architecture and the wGUI provide effective access for stakeholders to information about the forest management planning area and to decision support tools that may contribute to addressing complex multi-objective and multiple-decision-maker management planning contexts. They also highlight that the involvement and participation of stakeholders in the design of the web-based architecture contributes to assuring the quality and the usability of the system.

2008 ◽  
Vol 84 (5) ◽  
pp. 718-730 ◽  
Author(s):  
Dan Rouillard ◽  
Tom Moore

We describe a pilot project on the Romeo Malette Forest in northeastern Ontario that used a spatially explicit strategic model as an element of the hierarchical modelling process used in forest management planning. We integrated 2 different and slightly overlapping modelling tools, the traditional aspatial Strategic Forest Management Model (SFMM) and the newer spatial Patchworks model, to form a comprehensive decision support system for planning. Results from the conventional modelling approach using only SFMM served as comparison. The pilot project’s goals included satisfying Ontario’s rigorous planning and public consultation requirements, addressing technical issues associated with using 2 separate models, and engaging planning team members in the decision-making process. Implementation of a new technology (spatial modelling) into a highly regulated organizational process presented the planning team with a series of challenges. For example, the higher resolution of the data used for the Patchworks model and changes in conventional concepts and procedures required that the planning team adjust and adapt its approach. One clear advantage of the combined approach was that the long-term effects of spatial and operational adjustments, such as landscape-level policies or harvest block deferrals, were evaluated comprehensively and immediately, leading to greater confidence that the forecast outcomes are sustainable. The hierarchical-spatial modelling process used in this pilot provides a significant improvement to forest management planning and results in improved confidence in the overall sustainability of the long-term management direction. The lessons learned have provided a base for future planning teams to take advantage of the many benefits of a decision support system that includes spatial modelling. Key words: forest management planning, spatial modelling, decision support, Patchworks


2020 ◽  
Vol 7 (3) ◽  
pp. 219
Author(s):  
Admi Syarif ◽  
Ari Ardianto ◽  
Bambang Hermanto ◽  
Machudor Yusman

<p><em>Car is an important transportation to support many activities in our daily life. There have been many variations of car based on models, price, specifications and so on. This study aims to implement the web-based Analytical Hierarchy Process (AHP) to recommend a car based on some criteria. The decision is done based on the following criteria as price, brand, cylinder capacity, fuel consumption, and passenger capacity. We used the data of 254 model variants car from six famous brands (Toyota, Daihatsu, Mitsubishi, Honda, Suzuki, and Nissan). The experiments have been to see the effectivity of the proposed method by giving different weight priority value . The results show that the method work well to give recommendation that suits consumers' desires.</em></p><p><em><strong>Keywords</strong></em><em>: Analytical Hierarchy Process, Car, Decision Support System,</em><em> MCDM.</em></p><p><em>Mobil merupakan alat transportasi yang penting saat ini guna menunjang aktivitas maupun untuk memenuhi gaya hidup seseorang. </em><em>Ada beragam jenis  mobil dengan </em><em>model</em><em>, merk</em><em> dan spesifikasi</em><em> tehnis lainnya. </em><em>Penelitian ini bertujuan mengimplementasikan metode AHP</em><em> berbasis web</em><em>  untuk membantu merekomendasikan mobil yang sesuai dengan keinginan konsumen. </em><em>R</em><em>ekomendasi keputusan </em><em>berbasisi 6 (enam) </em><em>kriteria diantaranya harga, merk, kapasitas silinder, konsumsi BBM, dan kapasitas penumpang. </em><em>Eksperimen  dilakukan dengan menggunakan d</em><em>ata 254 varian model mobil dengan enam merk</em><em> terkenal </em><em> </em><em>Toyota, Daihatsu, Mitsubishi, Honda, Suzuki, dan Nissan).</em><em> Hasil pengujian </em><em>sistem telah bekerja dengan sangat baik. P</em><em>embobotan kriteria dan pemilihan alternatif sangat berpengaruh terhadap rekomendasi keputusan.</em><em></em></p><p><em><strong>Kata kunci</strong></em><em>: </em><em>Analytical Hierarchy Process</em>, <em>Mobil, Sistem Pendukung Keputusan</em><em>, MCDM</em><em>.</em></p>


2013 ◽  
Vol 278-280 ◽  
pp. 1998-2001
Author(s):  
Yun Tao Cai ◽  
Bo Qiang Shi

This paper illustrates the system structure and realization technology of decision support system for sports competition, discusses the decision module, management module and safety design of the system, and puts forward the thought of building and developing the WEB-based decision support system for sports competition. Concluded that the sports competition decision support system does not have obstacles in respect of the technical implementation. Its specific application effect in practice will be very critical.


2004 ◽  
Vol 10 (3) ◽  
pp. 88-95 ◽  
Author(s):  
Artūras Kaklauskas ◽  
Edmundas Kazimieras Zavadskas ◽  
Leonarda Gargasaite

Investigations on the similarities and differences of expert, knowledge management and decision support systems are presented in the paper. Explicit and tacit knowledge is analysed. The benefit of knowledge management systems, their development and implementation are analysed. The aspects of the best practice and its knowledge bases and databases are described. Practical possibilities to apply the knowledge systems are presented. On the base of practice acquired during the FP 6 project INTELCITIES the database of the best practice and the web‐based decision support system for real estate are developed. On the base of the BPJTA in PuBs project the database of the best practice and the web‐based decision support system for retrofit of public buildings are developed.


2021 ◽  
Vol 12 (1) ◽  
pp. 12-16
Author(s):  
Taufiq Ismail ◽  
Sri Winiarti ◽  
Rifki Pambudi

College students often select their major concentration area wrongly due to thoughtless considerations such as following their close classmates' choice. This may cause losses in time, effort, cost, and also mental energy. The research proposes a decision support system for selecting students' major concentration areas to solve students' problems in determining their study interest in informatics engineering. Profile Matching Method was chosen since it can sort out suitable study interest with students' criteria weight. The web-based decision support system was implemented using HTML, pure PHP programming languages with MySQL as its database. Boostrap and Javascript were added to enhance the web display; all application data will be saved in the hosting provider's web server. The application testing was done to 10 students as respondents in usability testing using Standardized Universal Percentile Rank-Questionnaire (SUPR-Q) for users and admins and User Acceptance Test (UAT). The conclusion was 70% compatibility of the students' major concentration area and the system's recommendation.


Author(s):  
Notryady Purba ◽  
Dedy Hartama ◽  
Jalaluddin J ◽  
Solikhun S ◽  
Fitri Anggraini

Siantar Utara District Office is one of the sub-districts in the Pematangsiantar city, North Sumatra Province. Through this sub-district office, residents can take care of various forms of licensing. At the subdistrict office also routinely held awards to employees which are held every three months which were previously counted on the excel application. The calculation process determines the best employee that the writer does, namely with the Excel application and uses the web-based ELECTRE method. Based on the final results obtained from the calculation results in both the excel application and the web-based application, alternative A1 with Ekl = 4 value, alternative A2 with Ekl = 4 value, alternative A3 with Ekl = 0 value, alternative A4 with Ekl = 2 value , alternative A5 with the value Ek = 2 From this decision support system, the final result is obtained with alternative A1 with the value Ekl = 4 as the best employee.


2012 ◽  
Vol 4 (2) ◽  
pp. 7-15
Author(s):  
Teddy Hartanto ◽  
Maria Irmina Prasetiyowati

If we talk about notebooks, there are so many choice of brands with various specifications that is sold in markets. It makes consumers sometimes having difficulty to select a notebook based on required specifications. Based on those reasons, the authors decides to design a notebooks decision support system to help consumers making a choice on notebooks based on required specifications.The Method that the authors use for this notebooks decision support system is Analitical Hierarcy Process. This method chosen because it can choose the best alternative from some alternatives. The best alternative is best notebook based on specified criteria. The web based notebooks decision support system program designed based on Hyper Text Preprocessor (PHP) software dan MySQL for its database. The results of implementation from Analitical Hierarcy Process can be applied on the notebooks decision support system. Keywords: Decision Support System, Analitical Hierarcy Process, Notebooks Selection


2016 ◽  
Vol 1 (1) ◽  
Author(s):  
I Made Aditya Virgiawan

<p><em>Decision Support System is an interactive system that supports decision in the decision- making process through the alternatives - alternatives obtained from the processing of  data, information and design models. The results provided by the system as a decision support can provide alternative solutions to problems for users by providing a range of possible results in accordance with the conditions of the problem parameters that can be changed.</em></p><p><em>C</em><em>r</em><em>e</em><em>ating a Decision Support System online,  using the method of Brown Gibson, is able to resolve the issue of election for selecting computer, the steps of this method are simple, easy to understand, effective and efficient. Brown Gibson methods chosen because each computer has a different character or condition, in estab- further discussion will be referred to as factors. These factors will affect the calculation to re-determine the computers that will be selected. With the web-based decision support system will be the technology that not only provides convenience, butis able provide solutions to someone in the right laptop mememilih and also suits your needs and budget .</em></p><p><em>Pr</em><em>ocedures and steps that must be taken to apply the method of Brown Gibson in this s</em><em>tudy can be described as follows: (1) elimination of  any alternative site on the face of  the computer that is clearly not feasible and feasible to be chosen, for example the price of computers that exceed the budget. (2) Calculate and set performance measurement of ob-yektif factor (OFI) for each alternative. With the web-based decision support system is going to be a technology that not only provides convenience, but is able to provide a solution to someone in choosing the right computer and also according to the needs and budgets.</em></p><p><strong><em>Keyw</em></strong><strong><em>o</em></strong><strong><em>r</em></strong><strong><em>ds : </em></strong><em>System, Decision Support, Brown Gibson</em></p>


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