Application Of Decision Support System Research Articles

A Novel Approach Based on Sine Trigonometric Picture Fuzzy Aggregation Operators and Their Application in Decision Support System

Picture fuzzy sets (PFSs) are one of the fundamental concepts for addressing uncertainties in decision problems, and they can address more uncertainties compared to the existing structures of fuzzy sets; thus, their implementation was more substantial. The well-known sine trigonometric function maintains the periodicity and symmetry of the origin in nature and thus satisfies the expectations of the decision-maker over the multiple parameters. Taking this feature and the significances of the PFSs into consideration, the main objective of the article is to describe some reliable sine trigonometric laws STLs for PFSs. Associated with these laws, we develop new average and geometric aggregation operators to aggregate the picture fuzzy numbers. Also, we characterized the desirable properties of the proposed operators. Then, we presented a group decision-making strategy to address the multiple attribute group decision-making (MAGDM) problem using the developed aggregation operators and demonstrated this with a practical example. To show the superiority and the validity of the proposed aggregation operations, we compared them with the existing methods and concluded from the comparison and sensitivity analysis that our proposed technique is more effective and reliable.

DECISION SUPPORT SYSTEMS INCREASE RANK USING AHP WEB – BASED ON PT TAMBANG BUKIT ASAM (PERSERO) TBK

Decision support system is a system adopted from human knowledge, which can help people in the decision making process. In research conducted at PT Coal Bukit Asam (Persero) authors see most of the systems currently used in the search process of promotion of employees still in manual form, causing the length of the assessment process associated with a promotion for every employee of the company in accordance with any the criteria that have been specified company. Various weighting of criteria and sub criteria established companies are always considered manager to each process of inputting assessment. Therefore, the authors make a decision support system application manager that can facilitate the process of inputting weight rating decision promotion of employees in accordance with the criteria and sub-criteria that have been specified company. Application decision support system of promotion is designed using Analytical Hierarchy Process that the process to obtain the priority weighting is done by comparing each criteria and sub-criteria. Decision to be achieved can help managers to determine who the employees are entitled to a promotion in accordance with keptusan obtained from the application of this decision-making system.

Decision Support System for Determination of Decoration Service Employee Using Weighted Product Method (Case Study on Sanggar Puri Ethnic Decoration)

The amount of expertise needed to complete a decoration services project makes the leaders of the Puri Ethnic Decoration studio often have difficulty in making decisions to determine employees in accordance with the criteria of the project to be worked on. The method used in making the decision to determine the decoration service employee uses the Weighted Product (WP) method in the form of a Weighted Product (WP) calculation based on the amount of quota available in each project. The results of this study are in the form of a decision support system application that employee alternative solutions will be involved in the decoration service project.

The Design Of The Spk In Fulfilling The Production Target Of Vegetable Availability In Lut Tawar Sub-District Uses The SAW Method

Efforts to meet the availability of vegetables in fulfilling vegetable intake, especially for people in Lutawar sub-district, Central Aceh district, community agriculture requires a technology development that supports the calculation of production at each harvest and can also determine the fulfillment of community food availability. In this case, the fulfillment of production targets for the availability of vegetables will be very effective if it is calculated using a decision support system application, using the Simple Additive weighting (SAW) method.The process of collecting and analyzing data is carried out systematically and logically using a survey, which is to collect as much data as possible about the vegetables found in Lut Tawar Subdistrict, which is a decision support for the quality of the research. Then analyze vegetables in meeting production targets and food availability. Application of the Simple Additive Weighting (SAW) method into a decision support system to create a decision support system for food availability that is assessed from its production, including 4 criteria used to make an assessment, C1: Productivity, C2: Harvest Area, C3: Area Planting, C4: Population, then decision making assigns weight to each criterion. The types of vegetables as an alternative in this study are as follows

Decision support system for selecting sectoral data-bases in studies of the water–energy–agricultural–environmental nexus

Obtaining databases to develop multidisciplinary studies in complex intersectoral network systems presents great challenges. Databases often lack compatibility or data standardization because they are organized differently by sector. Therefore, this article aims to propose a Decision Support System (DSS) to assist in the identification, analysis, and selection of sectoral databases to support the development of quantitative studies. The concept of the “Nexus of water, energy, agriculture, and the environment" is used to illustrate the development of the DSS. To this end, a conceptual structure defined in six stages was presented: institutional analysis, definition of alternatives, definition of criteria, analysis of databases, classification matrix, and organization and selection of alternatives. Validation of the proposed DSS was carried out using national-scale databases for the Brazilian context. From the application of DSS in the databases surveyed, it appears that: Brazil does not have interconnected databases, nor does it share databases between sectors; the information is dispersed across a large number of institutions, and includes a multiplicity of spatial and temporal scales, hindering their integration; the adoption of macro-scales, both spatially and temporally, facilitates the integration of the collected information, and the country’s sectoral organizational structures tend to hamper the development of systems integrated into complex networks. The proposed DSS allows a better understanding and visualization of possible simplifications and limitations inherent in integrated studies of quantitative scope, minimizes uncertainties, and directs systemic planning and management strategies.

Extended TOPSIS method based on the entropy measure and probabilistic hesitant fuzzy information and their application in decision support system

Probabilistic hesitant fuzzy Set (PHFs) is the most powerful and comprehensive idea to support more complexity than developed fuzzy set (FS) frameworks. In this paper a novel and improved TOPSIS-based method for multi-criteria group decision making (MCGDM) is explained through the probabilistic hesitant fuzzy environment, in which the weights of both experts and criteria are completely unknown. Firstly, we discuss the concept of PHFs, score functions and the basic operating laws of PHFs. In fact, to compute the unknown weight information, the generalized distance measure for PHFs was defined based on the Probabilistic hesitant fuzzy entropy measure. Second, MCGDM will be presented with the PHF information-based decision-making process.

Development and Application of Sports Training Decision Support System

Science and technology is an important support to promote the development of sports, and the dependence of sports training on science and technology is becoming more and more obvious. The purpose of the development and application of the sports training decision support system is to integrate the scientific the training theory and advanced training methods are applied to the management of physical education and sports training for college students, effectively exerting the auxiliary role of science and technology in sports training. This system enriches the knowledge base by generating new knowledge rules through data mining technology, selecting the corresponding model based on user input and combining with the rules in the knowledge base to step by step to produce a set of reasonable sports training programs.

What is the impact of clinical guidelines on imaging costs?

Inappropriate and irrational use of numerous advanced diagnostic imaging technologies has recently been highlighted in many countries and has gathered the attention of policymakers. This matter has not only increased health costs in countries but also resulted in adverse health results. Various factors are involved in the inappropriate or unnecessary use of advanced medical imaging techniques including patient-related, physician-related, technological, and ultimately radiologist-related factors. This calls for the provision of new guidelines by policymakers to encourage all service providers to make appropriate use of such techniques. One of the main approaches in this regard is the application of clinical guidelines and decision support systems. The present study was a systematized review that conducted in January 2019, and the articles related to palliative care requirements on databases of Web of Science, PubMed, Scopus, ScienceDirect, Ovid, ProQuest, Wiley, and Google Scholar from January 1, 2009, to January 20, 2019, were searched. Strategy for searching and selecting the articles was Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines. Overview of the studies shows that various reasons for the overuse of diagnostic imaging technologies and effects of applying clinical guidelines on reducing diagnostic costs of treatment are investigated in this article with respect to various aspects and viewpoints. Clinical guidelines can be significantly effective in evaluating suitability and quality of referrals for diagnostic imaging, if only adapted properly.

DSS Framework: A Proposal for Disaster Logistic Support System for the Province of Laguna

The Philippines’ location within the Pacific Ring of Fire brings enormous threat to its people. Intervention and innovation are to be in place for survival and growth, since nothing can be done about its geographic location and the threats that come with it. This study aims to create a framework for developing a decision support system, a mobile and web application for the efficient implementation of the disaster logistics support system. The study will utilize Agile Methodology for the software development in the proposed framework. This proposed framework exhibits the features of the system such as identifying location, affected families, supplies, reports, management of inventory, vehicle outsourcing, and monitoring. The system framework can be a helpful tool for the efficient and speedy delivery of needed help and an effective approach to disaster supply chain issues.

Best Regional Selection Decision Support System for Shallots in Waru District, Pamekasan Regency Using Topsis Method

The location of an area greatly influences the agricultural sector, including the Waru Subdistrict, Pamekasan Regency, a geographical condition that incidentally consists of hilly plains or highlands. So it is very influential on food plants that can be developed in the area. The objective to be achieved in this final project is to make a Decision Support System application for the Best Shallot Producing Region in Waru Subdistrict, Pamekasan Regency Using the TOPSIS Method. From the results of the study it can be concluded that the application system that has been made is running well and quite User Friendly, from the five villages in the Waru sub-district which were used as experimental data, it can be concluded that the selection of the best village using the TOPSIS method recommended for shallot cultivation is Sanah Laok village. with the highest score is 0.6312.

APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN SOSIAL TUNAI (BST) DENGAN METODE FUZZY TSUKAMOTO

The government has issued policies and programs to anticipate the handling of this pandemic, one of which is the Social Assistance Program provided through the leading sector of the Ministry of Social Affairs of the Republic of Indonesia in the form of social assistance programs provided to the poor and communities that have a socio-economic impact from the corona pandemic. One of the programs launched by the government through the Ministry of Social Affairs is the Cash Social Assistance Program or Cash Social Assistance. The research objective was to develop a decision support system application for cash social assistance recipients (BST) with the Tsukamoto fuzzy method which can be used as a tool to quickly determine BST recipients. The several stages of work consist of; data collection, analysis, design and application design, implementation, and testing and evaluation. Based on the results of research and testing of the decision support system to determine BST recipients using the Fuzzy Tsukamoto method that has been carried out by researchers, several conclusions can be drawn, namely: 1) Expert system application for finding BST recipients is an application based on rules for solving problems to determine BST recipients with a high degree of accuracy and is used as a reference for BST recipients for the government to determine the right target recipients to be selected, and 2) The results of the analysis generated from this system are the same as the results of calculations manually using the theory of the Fuzzy Tsukamoto method so that the accuracy of the results is appropriate with calculations obtained from the trial.

Multi-objective Route Planning for Underwater Cleaning Robot in Water Reservoir Tank

Underwater tank cleaning using robotic method is very crucial due to the concern on the diver’s safety in undisrupted water supply operation. A Remotely Operated Underwater Vehicles (ROV) used in the tank cleaning operation however, suffers from a high operational cost due to the lack of systematic operator guidance in robot maneuvering. This paper presents a multi-objective approach in designing a Decision Support System (DSS) for underwater cleaning robot. To explore all feasible path, the path alternatives for every cleaning point in the tank is found using Probabilistic Roadmap (PRM). Then, an optimized sequential route are identified using Non-Dominated Sorting Genetic Algorithm using Reference Point Based (NSGA-III). Several objectives such as path length and routing angle are considered to be optimized, while ensuring constraints such as similar deployment point, maximum daily time limit and cable entanglement. To measure the quality of the proposed solution, comparisons have been done based on performance of NSGA-III with Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) by considering the C-Metric value, execution time and estimated cleaning duration. In addition, comparisons with conventional path by human operator is also conducted to validate the significance of DSS application in underwater tank cleaning. Results have shown that NSGA-III has superiorities with an improvement of 11.11% in cleaning time as compared to NSGA-II and 5.12% improvement compared to MOPSO.

SELECTION OF OUTBOUND LOCATIONS IN GUNUNGKIDUL USING A MULTI-OBJECT OPTIMIZATION METHOD BASED ON REPORTING ANALYSIS

Decision support system (DSS) is a computer-based system that can help users make decisions. One of the DSS applications is to select outbound locations in Gunungkidul by using the Multi-Object Optimization method on the Base Ratio of Analysis (MOORA). Outbound is an open-air learning method based on direct experience presented in the form of games, discussions and adventures. So that participants will get feedback about the impact of the activities carried out which is useful for self-development in the future. The application of the MOORA method is a method that can determine the weight of each criterion, then proceed with a ranking process that will select the best alternative from a number of available alternatives. In this study an application for outbound location selection in Gunungkidul was made using the MOORA method, an application designed based on a website, this test was carried out using black box testing. The results of this study show that the best location based on the criteria weight and ranking with several alternatives is the location of the Nglanggeran Ancient Volcano with a value of 0.1507, Sri Getuk Waterfall with a result of 0.0909, Kampung Jelok with a result of 0.01497, Goa Pindul with a result of 0.00182, Sundak Beach with a result The result is -0.07192, Wulenpari with the result -0.08854, and the last one is Indrayanti beach with the result -0.13179.

WEB-BASED DECISION SUPPORT SYSTEM FOR GUEST STAR DETERMINATION IN E-MARKETPLACE USING WEIGHTED PRODUCT METHOD

At an event, the event organizer usually requires guest stars as performers. Event organizers often find it difficult to find a guest star that suits their needs for their event. The purpose of this research is to build an e-marketplace application as a web-based decision support system that can be used to find alternative decisions to choose guest stars according to the criteria using product weighting methods. The weighted product method is one of the methods that can be applied to web-based decision support system applications for determining guest stars in e-marketplaces. There are three criteria used to determine guest stars in this e-marketplace, these criteria are the type of show, price and location. As for the alternatives that were tested, there were nine alternatives consisting of guest stars in Yogyakarta. Functionality testing is carried out using the black box method and the result is that all functions and validation buttons on the e-marketplace can function properly. The result of calculation using the weighted product method is the guest star with the highest yield is Frengki Sermadi with a value of 0.135234, while the guest star with the lowest result is Sanggar Titik Dua with a value of 0.083222.

Rekomendasi Penentuan Desa Terbaik dengan Kombinasi Metode OWA (Ordered Weighted Avarage) dan Metode SAW (Simple Additive Weighting) berbasis Web

The success of the government is determined by essential aspects of the village and has increased every day and has changed into a town that has independence in carrying out activities and survival by each of its residents, to support and improve the quality of government villages which motivate for villages to compete to become the best village through a series of costs to improve the quality of the town. The process of determining the best village starts from the sub-district. The winner will be smart at the city district level up to the national level, in the process of determining the best town according to government regulations in sending villages with five aspects and each aspect that has specified specifications and through validation from the government In the process of the government in the form of a committee conducting visits and conducting assessments based on the completeness of the data with the team for each aspect and giving to the committee based on individual orders, the value submitted will do the calculation by determining the final cost of the process of finding an average value -average overall and do the division of the total aspects. To assist the procedure in choosing the best village, the researcher wants to develop an online decision support system application with features that will be equipped in the developed application by uploading documents according to conditions in the field and documentation carried out by the team towards the village, so that the order process is open. It can be witnessed by all concerned, while in the Calculation and analysis Process using the OWA (ORDERED WEIGHTED AVERAGE) combination operator to determine the average value calculation and the SAW (Simple Additive Weighting) Method as part of the ranking of several existing villages

A Data-Based Model Predictive Decision Support System for Inventory Management in Hospitals.

This paper presents experimental results from the application of a data-based model predictive decision support system to drug inventory management in the pharmacy of a mid-size hospital in Spain. The underlying objective is to improve the efficiency of their inventory policy by exploiting pharmacy historical data. To this end, the pharmacy staff was aided by a decision support system that provided them with quantities needed for the satisfaction of clinical needs and the risk of stockout in case no order is placed for different time horizons. With this information in mind, the pharmacy service takes the final order decisions. The results obtained during a test period of four months are provided and compared with those of a previous model predictive control approach, which was implemented in the same hospital in the past, and with the usual policy of the pharmacy department.

Prioritization of IT Product Backlog Items Using Decision Support Systems

The article focuses on the application of decision support systems for prioritization of product backlog items in IT projects implemented using the Scrum methodology. The study identified the features of prioritization of different types of the product backlog items — user stories, epics and themes. It is justified that high-level product backlog items (epics and themes) require comprehensive prioritization, due to the following reasons. First, high-level product backlog items are particularly important because they determine the planning and implementation of detailed user stories within individual sprints. Second, any high-level item can be considered in terms of different criteria. Third, the implementation of epics and themes takes longer time compared to the implementation of user stories, so it is necessary to take into account possible future states of the project's environment. Fourth, prioritizing epics and themes requires increased objectivity and validity, so group decision making with participation of several experts seems reasonable. Taking into consideration the aforementioned features the conclusion regarding limitations of existing methods of prioritization is made. It is argued that prioritization of high-level product backlog items (epics and themes) may be performed using multi-criteria decision making methods with availability of several problem situations (possible future states of the environment), as well as involvement of several experts. The idea of applying decision support methods and systems is illustrated on the appropriate example. It is also argued that increased consumption of time and resources related with setting and solving decision support tasks may be considered as acceptable for high-level product backlog items.

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KUALITAS TEMPE SIAP JUAL DENGAN METODE WEIGHT PRODUCT

According to this SNI, soybean tempeh is packaged in well-closed packages, namely leaves and plastic. At MSME Latersia Berkat Tempe, it was found that information problems determining the quality of tempe were very diverse in determining the quality of tempe, generally using traditional methods. In this study, the calculation was carried out by applying the SPK with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe and designing the Decision Support System (SPK) application with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe using Visual Studio 2010. Analysis of the data obtained Tempe data as alternative data is taken from general packaging, namely Tempe Wrapped in Plastic and Tempe Wrapped in Leaves. The criteria for determining the quality of tempe production, in this study are influenced by Raw Material (C1), Type of Yeast (C2), Packaging (C2), Taste (C4), Color (C5), Typical Odor of Tempe (C6), Texture (C7), Sales (C8). In the application, the Alternative Data and Criteria Data are inputted, then the calculation process is carried out using the Weighted Product method. The result of the WP ranking calculation is determined to be the highest value to be the final decision of the system.

Метод частиномовної розмітки на основі квазіфлексій

The quality of the recommendations provided as a result of the application of decision support systems largely depends on the quality and reliability of the knowledge provided by experts. Solving the problem of automatic detection of ambiguity in the textual formulations of experts is a significant step towards increasing the reliability of knowledge and the adequacy of the models on the basis of which decision support is provided. Most approaches to automatic ambiguity detection rely on the use of part-of-speech tagging as the first step in detecting ambiguity. The article proposes a method of automatic part-of-speech tagging based on quasi-inflections (variable word components), the accuracy of which is commensurate with the existing implementations of the rule-based approach. The advantages of the rule-based approach include a significant reduction in the required amount of information, simple implementation of analyzer improvements and a high degree of portability of components (rules, dictionaries, quasi-inflections, exceptions).Comparing the reported accuracy of part-of-speech analyzers, Markov models and the transformation approach achieve an accuracy of up to 97 %. At the same time, the accuracy of the rule-based approach varies from 97 % to 100 %.The novelty of the proposed method is the use of quasi-inflections as the main and only method for determining the part of speech and grammatical characteristics of the word. To check the effectiveness of the proposed method, testing was conducted on the basis of textual formulations in 7 files with the goal hierarchy structures, a total of 4378 words. The proposed method showed an accuracy of 98,70 % in the part-of-speech tagging of textual formulations in the test corpus. Demonstrated high accuracy of the method can be achieved with strict following of the described method of compiling dictionaries of rules and quasi-inflections. Refs: 23 titles.

Sistem Pendukung Keputusan Penentuan Kualitas Tempe Siap Jual Dengan Metode Weight Product

According to this SNI, soybean tempeh is packaged in well-closed packages, namely leaves and plastic. At MSME Latersia Berkat Tempe, it was found that information problems determining the quality of tempe were very diverse in determining the quality of tempe, generally using traditional methods. In this study, the calculation was carried out by applying the SPK with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe and designing the Decision Support System (SPK) application with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe using Visual Studio 2010. Analysis of the data obtained Tempe data as alternative data is taken from general packaging, namely Tempe Wrapped in Plastic and Tempe Wrapped in Leaves. The criteria for determining the quality of tempe production, in this study are influenced by Raw Material (C1), Type of Yeast (C2), Packaging (C2), Taste (C4), Color (C5), Typical Odor of Tempe (C6), Texture (C7), Sales (C8). In the application, the Alternative Data and Criteria Data are inputted, then the calculation process is carried out using the Weighted Product method. The result of the WP ranking calculation is determined to be the highest value to be the final decision of the system.