Selection Support System Research Articles

An integrated multiple layer perceptron-genetic algorithm decision support system for photovoltaic power plant site selection

There is a need for non-renewable energy sources in generation of power for almost every domestic and commercial purposes. This source of energy helps in the development of a country. Because of the increasing usage of the fossil fuels and depletion of these resources, our focus has been shifted towards the renewable sources of energy like solar, water and wind. Therefore, in the present scenario, the usage of renewable sources has been increasing rapidly. Selection of a solar power plant (SPP) requires environmental factor, local terrain, and local weather issues. Thus, a large amount of investment is required for installation. Multi-criteria decision making (MCDM) is a method that identifies one in choosing the best sites among the other proposed options. This paper gives a detailed study of optimal ranking of SPP site using analytical hierarchy process (AHP), multiple layer perceptron (MLP) neural network trained with back propagation (BP) algorithm and genetic algorithm (GA). Three SPP sites of India were considered and various important criteria like local weather, geographical location, and environmental factors are included in our study as SPP site selection is a multi-criteria problem. A precise comparison of these three methods is listed in this paper.

Application of Drug Supplier Decision Support System Using The Elimination Et Choix Traduisant La Realite (ELECTRE) Method

Pharmacies are decisive places in providing, distributing, and dispensing drugs need by the community. The high demand for drugs at the Crystal Farma Pharmacy Oebobo makes it difficult for pharmacists to choose more than one drug supplier. This study aims to build a decision support system for drug supplier selection. This system provides results in the form of recommendations for the best suppliers, which are taken into consideration by pharmacy managers. Application elimination et choix radiant la reality (ELECTR) method, using the criteria of price, discount, expiration date, stock, distance, and payment system for four drug suppliers. ELECTRE method resulted in the drug rating of Amoxicillin 500 Mg, namely PT. Indofarma Global Medika and PT. Enseval Putera Megatrading. In an experiment testing the calculation on the system using case data on as many as four types of generic drugs, namely Allopurnol, Amlodipine, Mefenamic Acid, and Paracetamol, the results of PT. Sapta Sari Tama a recommended for drugs Allopurinol and Amlodipine. At PT. Kimia Farma Trading & Distribution a recommended for Mefenamic Acid and PT. Marga Nusantara Jaya is recommended for Paracetamol medicine. In black-box testing, getting the results of the overall functional percentage of the system using nine testing techniques is 100% successful. In user acceptance testing (UAT) testing, the user satisfaction level of the questionnaire method is 94% of the total respondents, four people and two pharmacies, namely Apotek Crystal Farma Oebobo and Apotek Crystal Farma Kuanino

IMPLEMENTATION OF MOORA METHOD FOR DECISION SUPPORT SYSTEM SCHOLARSHIP SELECTION IN SMK MUHAMMADIYAH PRAMBANAN

Decision Support System for Scholarship Selection at SMK Muhammadiyah Prambanan Using the MOORA Method aims to implement the Multi-Objective Optimization method on the basis of Ration Analysis. In determining scholarship recipients based on predetermined criteria and building a system in the form of a website to help provide alternative decisions in determining the acceptance of scholarships at SMK Muhammadiyah Prambanan. Based on the source of the data obtained, using primary data including interview and observation methods supported by secondary data obtained by literature studies that are relevant to the problem. Scholarship data is calculated and then ranked based on the final value generated from the MOORA calculation. The process of scholarships selection is based on criteria including report card grades, dependents of parents, the income of parents, percentage of attendance, and the number of siblings. The results of this study are the Scholarship Selection Decision Support System Using the MOORA Method, where the final value in the form of an alternative that has the greatest preference value will be placed at the top rank. The alternative will be a recommendation to receive a scholarship.

Decision Support System for Optimal Selection of Software Reliability Growth Models Using a Hybrid Approach

A hybrid approach, namely “entropy-combinative distance-Based assessment (CODAS-E),” is proposed and presented to select and rank software reliability growth models based on multiple performance indexes, which is hitherto not applied in the open literature for the purpose. In the proposed hybrid approach, i.e., CODAS-E, the Shannon entropy approach is used to obtain the performance indexes’ priority weights and the CODAS method is used for optimum selection and ranking. The methodology is illustrated through two previously published different failure datasets. The ranking results depict that “Zhang-Teng-Pham” is the least suited model for software reliability estimation, whereas “Musa Okumoto” and “Yamada Imperfect debugging2” are best suitable for dataset-1 and dataset-2, respectively. The CODAS-E method is validated comparing with existing multicriteria decision-making methods; namely, technique for order preference by similarity to ideal solution and analytic hierarchy process. The significant contributions of the present research article include implementation of efficient, user-friendly, and time effective CODAS-E methodology to find the optimal model and the best overall ranking of employed models for any given dataset, and importance to the taxonomy of NHPP SRGMs rather than adding any new model. The presented model selection strategy will undoubtedly lead to high-quality software development.

SpoVis: Decision Support System for Site Selection of Sports Facilities in Digital Twinning Cities

The site selection of sports facilities is a pivotal link in the construction of city livable environment and the development of sports business in digital-twinning cities. Recent years have witnessed data mining and visualization technologies bringing the convenience as well as opportunities for intelligent site selection. However, the lack of effective and reliable systematic analysis leads to difficulties in developing sports facilities planning schemes and constructing the site-selection system. In this article, we design Sport facility Visual analysis system (SpoVis), an interactive visual analysis system for planning sports facilities as well as site selection. SpoVis provides users with the distribution status and statistical analysis of various sports facilities. Based on a comprehensive consideration of city population distribution, construction cost, existing sports facilities, traffic situation, and development potential, SpoVis provides users with a reasonable site-selection scheme of sports facilities from both macro and microperspectives and recommends results through topology and map. Meanwhile, based on the distribution of existing sports facilities and city influencing factors, a set of visual analysis components are designed to facilitate users to evaluate the status and information of existing sports facilities. We have carried out extensive experiments on a real platform with real-world data. The experimental results show that the proposed site-selection models and algorithms have excellent accuracy and operation efficiency.

Tegal Tourism Object Selection Decision Support System Using Fuzzy Logic

There are many agencies that have databases but are left without proper management. For example, in tourist attractions in Kota & Kab. Tegal, along with the rapid development of tourism technology, the tourism industry requires the tourism industry to apply information technology to provide convenience for tourists to find out tourist areas according to the cost, and the distance of the tourist attractions entered. The provision of tourism information helps tourists to consider and make decisions to travel. Tahani Fuzzy Logic was chosen because the concept of Fuzzy logic is easy to understand, flexible, and because the Tahani logic method is a form of decision support where the main tool is functional with the main input criteria determined by the user/tourist. This system was implemented using web programming and MySQL database, where the variables to be considered are Type of Tour, Number of Facilities, Price of Tour Tickets, Number of Tourist Visitors, Travel Distance from City Center. The results of this study are a decision support system for tourism selection in Tegal using Fuzzy Tahani which can recommend tourist attractions in Tegal which are determined by tourists depending on tourist criteria based on the firestrength of the selected variables

Decision Support System for technology selection based on multi-criteria ranking: Application to NZEB refurbishment

Refurbishing existing building into Near Zero Energy Building (NZEB) is a key objective for the European Union. In order to achieve high rate of conversion, new refurbishment process must allow Decision Makers (DMs) (architects or designers) to sort through an ever increasing list of new technologies while taking into account uncertain preferences from multiple stakeholders.A Decision Support System (DSS) based on Multi-Criteria Decision-Making (MCDM) approaches is proposed. The DSS enables the DMs to browse the solutions space by selecting the relevant criteria, order them by preferences and specify the granularity in the assessment of the technologies regarding each criteria.This DSS is based on a ranking algorithm that operates on multiple types of quantitative (continuous, discrete, or binary) and qualitative (nominative or ordinal) variables from technological and human sources. An online user interface allows the real-time exploration of the solution space. A sensitivity analysis of the algorithm is conducted to expose the influence of the ranking algorithm parameters and to demonstrate the robustness of this algorithm. The proposed DSS is eventually implemented and validated through a use case concerning the choice of insulating materials considering heterogeneous criteria that model sustainable constraints.

Implementation of a fuzzy decision support system for selection of hand tractor assembly suppliers

Supplier selection is a complex problem in the current Industry 4.0 era. The large number of suppliers with different performance qualities makes it difficult for the company's internal parties to choose the appropriate supplier. The suitability of quality suppliers needed to supply raw materials needed by the industry is an important matter to be resolved. In the hand tractor assembly industry, this small and medium industry is also very dependent on the availability of supply materials, and of course it also depends on the selection of the supplier itself. In this study, the object of research is the 151 hand tractor assembly manufacturing industry using 10 main criteria for selecting suppliers. Each criterion has a weight that is calculated using the Fuzzy AHP method so as to obtain alternative supplier results that are displayed in order.
 A supplier is a company or individual that provides the raw materials needed by the company and its competitors to produce certain goods. In this study, a decision support system for supplier selection at the company has been developed using the AHP fuzzy method. The results of this study are expected to help companies in selecting suppliers that match the predetermined criteria. In building a decision support system that provides supplier recommendations, the authors apply the AHP fuzzy method in the process. With the Supplier Selection Decision Support System Using the AHP Fuzzy Method, it can help companies in selecting suppliers. Based on the research that has been done, suggestions can be made for a Decision Support System for Supplier Selection Using the Fuzzy AHP Method so that in the future it can facilitate the use of a more dynamic system

Universal Decision Support System for Selection of MSW Route Optimization Method

Municipal Solid Waste (MSW) collection utilizes the highest percentage of the MSW management budget. Additionally, choosing a vehicle route optimization method is complex, difficult and does not always yield the most practical approach. There is limited published information about a decision support system (DSS) that assists in selecting the appropriate route optimization algorithm. This study aims to design and develop a universal DSS framework that suggests effective route optimization method(s). The system consists of 21 optimization data items and four criteria that assess the available constraints and recommends the most suitable optimization method(s). The DSS prototype was validated by testing it on the available literature and observing if the suggested method by the system complies with that utilized by the researchers. It was found that the system was able to predict the method which is used in 73% of studies. Moreover, the system suggested an enhanced version of the methods used in 18% of studies. It could be concluded that the proposed framework can help to select the best algorithms in almost all existing scenarios that have been used during development. Therefore, it is recommended to use the framework for selecting the appropriate route optimization algorithm for MSW collection.

A decision support system for materials selection using proximity indexed value method

The selection of a material plays a key place during the design stage and subsequent production. The decision of selecting the correct material can decrease the manufacturing cost and time. On the other hand, a wrong selection cause increases the production cost and time and may also cause poor performance. The selection of particular materials for a part/product depends on the properties of the material that match the product requirements. At present, there are a more expansive range of materials with diversified properties available, making this decision process crucial. The present study aims to evolve a decision support system for this tedious material selection process. However, literature presents several mathematical formulations and tools or techniques to aid this selection of materials decision-making process, each of these techniques have advantages and disadvantages. This study proposes an innovative approach, i.e., proximity index value, to solve two examples of real-world material selection issues for a gear material and material for load gearing wagon walls. A ranking sequence of materials by this proposed method compared with those obtained by other approaches presented in the literature for the validity of the proposed method. Results revealed that present method shows a higher rank correlation coefficient indicating the suitability of the proposed method. Hence this method can be used to aid the decision-making process for the material selection process.

Decision support system for location selection of convenience stores and retail facilities using optimization techniques and GIS

The successful spatial location of small convenience stores and retail facilities greatly affects the potential flow of customers, therefore the task of optimizing their location is primary when opening a new store or revising an existing stores’ location. We developed a decision support system for location selection of convenience stores and retail facilities using optimization techniques and a geographic information system. The system identifies areas on an electronic map with the greatest potential to locate a store or retail facility, taking into account its specifics, pedestrian accessibility, opening hours, and a set of goods or services. The system calculates the optimal location of one or several stores using one of the optimization techniques for the criterion of the number of potential customers. In our experiments, we used gradient descent for optimization. The experiments were carried out in areas of various sizes using data obtained from Open Street Map. Experimental results showed that the system finds the optimal location in a reasonable time and therefore it can be useful for small convenience stores and retail facilities.

A Dynamic Decision Support System for Selection of Cloud Storage Provider

In recent years, the cloud computing model has gained increasing attention and popularity in the field of information technology. For this reason, people are migrating their applications to public, private, or hybrid cloud environments. Many cloud vendors offer similar features with varying costs, so an appropriate choice will be the key to guaranteeing comparatively low operational costs for an organization. The motivation for this work is the necessity to select an appropriate cloud storage provider offering for the migration of applications with less cost and high performance. However, the selection of a suitable cloud storage provider is a complex problem that entails various technical and organizational aspects. In this research, a dynamic Decision Support System (DSS) for selection of an appropriate cloud storage provider is proposed. A web-based application is implemented using PHP and MySQL to facilitate decision makers. The proposed mechanism has been optimized in a way that enables the system to address static database issues for which a user might not acquire the best solution. It focuses on comparing and ranking cloud storage providers by using two modules: scraping and parsing. The evaluation of the proposed system is carried out with appropriate test cases and compared with existing tools and frameworks.

An integrated decision support system for mobile crane selection

This research presents a novel computer-based system for the selection of mobile cranes in building construction. The proposed system integrates four main modules: an algorithm known as the analytical hierarchy process (AHP), the simple multi-attribute ranking technique (SMART), an experience-based algorithm, and a system database. The AHP module assesses the importance of the selection criteria, while SMART applies multi-attribute utility theory. The experience-based algorithm completes the calculations necessary for selecting the best and most technically appropriate crane alternative, and the database module hosts information about 37 different mobile cranes. The methodology followed to achieve the research objective consisted of three main phases. The first involved conducting a comprehensive literature review to identify selection criteria for mobile cranes, as well as a number of face-to-face interviews with experts to finalize the list of selection criteria considered. Face-to-face interviews were also conducted with local experts to obtain a framework for the current practice of crane selection and identify areas in need of improvement. Phase two involved using AHP for data collection in order to assess the importance of the identified criteria. The final phase included an analysis of the collected information and development of a computer application. The system was tested on a hypothetical project and validated using a real-world endeavor to demonstrate its effectiveness for a number of construction management functions, including project planning, scheduling, cost estimation, and the efficient use of available resources. This study determined the most significant selection criteria to be rental cost, crane availability, and safety considerations. The results show the capabilities of the proposed system, as well as its flexibility when working with a wide range of inputs.

Proposal for an Integrated Decision Support System for Bridge Type Selection during the Conceptual Design Phase

Proposal for an Integrated Decision Support System for Bridge Type Selection during the Conceptual Design Phase

WEB-Based Decision Support System for Mobile Selection using the Simple Additive Weighting Method

Along with the development of mobile phones in Indonesia, people from various professions are very dependent on mobile phones. Problems arise when these developments are not accompanied by a system that supports the selection of the right cellphone and according to the criteria of each user. A web-based decision support system for the selection of mobile phones using the simple additive weighting method is a web-based information system that can be used to assist prospective mobile phone buyers in choosing the right cellphone and according to the criteria. In this system the user will give weight to the main criteria, namely price, brand, depreciation, RAM, camera, screen, battery, and features. The weighting must be with a total of 100 percent.

Decision Support System for Selection of Outstanding Students at the Faculty of Mathematics in Natural Sciences at the University of Yogyakarta with AHP and TOPSIS Methods

Yogyakarta State University (UNY) annually holds the selection of outstanding students for the Bachelor (S1) program, namely students who have achieved high achievements, both curricular, co-curricular, and extra-curricular according to the specified criteria. To assist in determining the winners of outstanding students, a Decision Support System (SPK) is needed that is able to provide alternative solutions. The method used in the SPK for the Selection of Outstanding Students uses the Analytical Hierarchy Process (AHP) for weighting the criteria and the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) to find the winning solution. The design of the SPK for the Selection of Outstanding Students uses the Waterfall model. The output of the system is presented in the form of calculation results of AHP and TOPSIS which can be considered further by decision makers. SPK is built based on a website designed using Sublime software (text editor), Database Management System (DBMS) MySQL Xampp 7 and PHP programming language. The DSS is tested on users and experts. Based on the test, the results show that Correctness is included in very good criteria, Reliability is included in very good criteria, Integrity is included in very good criteria, Usability is included in good criteria, meaning that SPK can meet user needs, such as assisting the registration process, judging and processing data for election participants the most oustanding student. SPK can display information according to user input correctly. Instructions for using DSS help users. SPK is safe from unauthorized parties. The appearance of the SPK is attractive and easy to use.

Decision Support System for Laptop Selection Using AHP Method and Profile Matching

Laptop is a desktop personal computer (PC) whose dimensions are reduced to increase flexibility in its use. However, the large number of products will make it difficult for consumers to choose a laptop that suits the needs of consumers who want to buy it.The purpose of this research is to help buyers who want to buy laptop products according to their needs by making a Decision Support System (DSS). There are 12 criteria considered in this research, price, processor, RAM capacity, hard disk capacity, SSD capacity, V-RAM capacity, maximum RAM upgrade capacity, laptop weight, screen size, screen type, screen refresh rate, and screen resolution. Choosing a laptop product there is a criterion value of a laptop product and a value of preference criteria from the buyer as a decision maker. Also the criteria values on laptop products have different contributions to the overall value of the laptop product. Thus, the methods used are Analytical Hierarchy Process (AHP), Profile Matching (PM) with linear interpolation, and Simple Addictive Weighting (SAW) to determine the recommended options. Lastly, SPK that has been made will be able to provide recommendations best alternative choices and best suit the needs of buyers for selecting laptop products.

Decision Support System for Selection of Quality Doves with Web-Based Analytical Hierarchy Process (AHP) Methods

The purpose of making this system is to make it easier for breeders and pigeon lovers to determine high quality pigeons. The method used is the analytical hierarchy process (AHP), this method is used to support completing the program, using the analytical hierarchy process method, using the analytical hierarchy process method. this is because it can make it easier to make decisions. The result of this system is a web-based system that supports windows and linux operating systems, the purpose of making this system is to facilitate the decision making of high pigeons in determining quality pigeons that are integrated with database storage. The benefit of using this system is to facilitate the decision-making process for quality pigeons.

Visual analytics of set data for knowledge discovery and member selection support

Visual analytics (VA) is a visually assisted exploratory analysis approach in which knowledge discovery is executed interactively between the user and system in a human-centered manner. The purpose of this study is to develop a method for the VA of set data aimed at supporting knowledge discovery and member selection. A typical target application is a visual support system for team analysis and member selection, by which users can analyze past teams and examine candidate lineups for new teams. Because there are several difficulties, such as the combinatorial explosion problem, developing a VA system of set data is challenging. In this study, we first define the requirements that the target system should satisfy and clarify the accompanying challenges. Then we propose a method for the VA of set data, which satisfies the requirements. The key idea is to model the generation process of sets and their outputs using a manifold network model. The proposed method visualizes the relevant factors as a set of topographic maps on which various information is visualized. Furthermore, using the topographic maps as a bidirectional interface, users can indicate their targets of interest in the system on these maps. We demonstrate the proposed method by applying it to basketball teams, and compare with a benchmark system for outcome prediction and lineup reconstruction tasks. Because the method can be adapted to individual application cases by extending the network structure, it can be a general method by which practical systems can be built.

Implementasi Metode Simple Additive Weighting Dalam Sistem Pendukung Keputusan Penerima Bantuan Program Sembako

Pahandut Seberang Village has an average middle to the lower level of economy in the community, so most of the people still need assistance from the government. In Pahandut Seberang Village, the selection of recipients of the Smbako program assistance is still the old way by using from paper. The assessment process is still not transparent in nature and the selection process is very slow and receipt of Sembako programs assistance are not being on target. Therefore, to overcome this problem, a Decision Support System (SPK) is created to help the Pahandut Seberang Village in selecting the recipients prospective of Sembako program assistance
 In designing and building the system are using 2 development methods, namely the Waterfall method as a software development method and the Simple Additive Weighting (SAW) method as a decision support system method in its calculations. Where the saw method has 4 stages, namely determining the criteria, determining the suitability, making a decision matrix based on the criteria and normalizing the. The final result is obtained from the ranking, namely the sum of the normalized matrix multiplication R with the weight vector so that the largest value sas a solution.
 This system testing uses a Black-box testing system. The test results show that the system created has been running according to the expectations of the researcher. This research produces a decision support system for selection of the recipients prospective that can provide recommendations for the recipients prospective the Pahandut Seberang village.