Application Of Support System Research Articles

Application of data-driven Decision Support System in Combating Illegal Wildlife Trade on Internet

With the rapid development of the Internet, the illegal wildlife trade is becoming increasingly serious, posing a threat to biodiversity. Using big data and artificial intelligence technology, this paper identifies abnormal transactions and network relationships by analyzing social media and e-commerce platforms, combined with random forests and graph neural networks, to enhance the efficiency of the crackdown. Random forest algorithms reveal nonlinear patterns and abnormal behavior, and graph neural networks help reveal the complex structure of the transaction network. In implementing the strategy, this paper uses a multi-attribute decision-making model (MADM) and analytic hierarchy Process (AHP) to assess and select the best partners, such as the United Nations Environment Programme, to optimize resource allocation and synergies. Through these technologies, this paper hopes to significantly increase the precision and speed of combating illegal wildlife trade, thereby effectively protecting biodiversity and contributing to the sustainable development of the planet and the harmonious coexistence of the natural environment.

Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model

Finished vehicle logistics (FVL) activities are executed through agreements with service provider firms. Vehicle manufacturers make efforts to select the most successful FVL service provider. The motivation for this research lies in developing and demonstrating the application of a decision support system for FVL service provider selection. Within this scope, it is necessary to develop a decision model that includes both quantitative and qualitative criteria. Considering the decision process as a group decision-making process allows for simultaneous consideration of different perspectives on the decision. Single-valued neutrosophic (SVN) sets are used for expert evaluations. The SVN weighted Dombi Bonferroni mean aggregation operator is employed for criteria weighting. The SVN-alternative ranking using two-step logarithmic normalization (ARLON) method is developed for ranking FVL service providers. The feasibility of the SVN-Dombi Bonferroni-ARLON hybrid algorithm is supported by the case study application. It is concluded that supply chain and logistics managers hold greater importance in FVL service provider selection, with the number of ships being the most critical selection criterion. The robustness of the proposed hybrid method for FVL service provider selection is supported by sensitivity analyses, while its consistency is supported by comparative analyses.

Research and Application of the Synergistic Support System of “LDAGF” in an Extremely Soft and Fragile Fully Mechanized Caving Face Roadway

Research and Application of the Synergistic Support System of “LDAGF” in an Extremely Soft and Fragile Fully Mechanized Caving Face Roadway

Clinical application of clinical decision support systems in the management of patients with atrial fibrillation

Cardiology, like other branches of medicine, is increasingly faced with the need not only to optimize patient treatment, reduce financial costs, but also to improve long-term outcomes. The volume of information required for such tasks is significant, and a doctor’s time is severely limited. Additional software capable of processing large amounts of data in a short period can assist doctors. Clinical decision support system (CDSS) is a type of software that, based on numerous clinical characteristics, provides doctors with information on the most likely diagnosis, patient risk profile, most suitable therapy, and more. Nowadays, CDSS finding more and more applications in cardiology and cardiovascular medicine. The experience of its clinical use has also been accumulated in the Russian Federation. The problem of the correct choice of anticoagulant therapy remains relevant in clinical practice. In addition, despite the proven benefit of prescribing anticoagulants in patients with atrial fibrillation (AF) at a high risk, the frequency of "underprescription" of oral anticoagulants (OACs) remains relatively high. The introduction of a strategy for a personalized approach to the selection of anticoagulants, based on individual patient characteristics, can significantly improve adherence to clinical guidelines and, as a result, reduce the risk of thromboembolic complications. This article discusses the positive and negative aspects of using CDSS in the management of patients with AF, highlighting the main limitations when using them in conditions close to real clinical practice.

The participants selection system for Al-Qur'an tahfidz competition using the Simple Additive Weighting method

The Hidayatullah Foundation is an Al-Qur'an-based school that has a tahfidz Al-Qur'an program that is taught every day to students. By holding the Tahfidz competition, it is hoped that it can provide motivation to students to increase their enthusiasm for memorizing the Al-Qur'an. However, so far the selection system that has been carried out by the school still uses manual methods by estimating students who are deemed capable without thorough calculations being carried out. So the selection of students is felt to be unfair and there is no opportunity for other students to take part in the competition. The application of the decision support system uses the Simple Additive Weighting (SAW) method with the results of the grades and ranking of the best students in the Tahfidz program which is carried out through a system calculation process with the first rank with alternative A10 getting a result of 0.996342132 named Alicia from class 3. The test results using the confusion matrix show the value accuracy of 96.9% which indicates a high level of accuracy. It was concluded that the SAW method could be used to select students to take part in competitions.

The Application of Big Data and Fuzzy Decision Support Systems in the Innovation of Personalized Music Teaching in Universities

Personalized music teaching in universities improves students’ learning and efficiency through adaptive guidance. This adaptability requires large study data and intelligent decisions based on the learner’s ability. This article introduces a Definitive Teaching Support System (DTSS) exclusive to music learning to augment this concept. This system is designed to increase the adaptability of music learning based on student interest and ability. The system is powered by a fuzzy decision system for identifying maximum teaching adaptability to personalized processes. Low-to-high-sorted personalization provides new endorsements for further music sessions in the fuzzy derivative process. Maximum adaptability is the target for new personalized sessions in the universities. This differs for various students from which a common adaptability level for monotonous recommendations is identified. The identified adaptability is set as a global maximum solution towards music learning personalization. The defuzzification reduces the chances of low adaptability by expelling the stationary adaptability outcomes.

A Prototype Decision Support System for Tree Selection and Plantation with a Focus on Agroforestry and Ecosystem Services

This study presents the development and application of a prototype decision support system (DSS) for tree selection specifically for Punjab, India, a region facing challenges of low forest cover and an increasing demand for sustainable land use practices. The DSS developed using the R Shiny framework integrates ecological, social, and agro-commercial criteria to facilitate scientific knowledge decision making in tree plantation. The modules in this DSS include a tree selection tool based on comprehensive species attributes, a GIS-based tree suitability map module utilizing an Analytical Hierarchical Process (AHP), and a silviculture practice information module sourced from authoritative databases. Combining sophisticated statistical and spatial analysis, such as NMDS and AHP-GIS, this DSS mitigates data redundancy in SDM while incorporating extensive bibliographic research in dataset processing. The study highlights the necessity of fundamental niche-based suitability in comparison to realized niche suitability. It emphasizes on the importance of addressing ecosystem services, agro-commercial aspects, and enhancing silvicultural knowledge. Additionally, the study underscores the significance of local stakeholder engagement in tree selection, particularly involving farmers and other growers, to ensure community involvement and support. The DSS supports agroforestry initiatives and finds applications in urban tree management and governmental programs, emphasizing the use of scientific literature at each step, in contrast to relying solely on local knowledge.

Aplikasi Sistem Pendukung Keputusan Menentukan Siswa Terbaik Menggunakan Metode SAW

The research conducted aims to develop a website-based decision support system application that can determine the best students using the Simple Additive Weighting (SAW) Method and developed with the Rapid Application Development (RAD) method. The SAW method was chosen for its simplicity and its ability to accommodate various assessment criteria, including academic grades, attendance, extracurricular participation, and student achievement. The RAD method was used in the development of the system to ensure a rapid development cycle and flexibility in adjusting user needs. The results show that the developed application is able to provide objective and transparent assessment, and simplify the process of determining the best students efficiently. The system also improves accessibility and accuracy in managing assessment data, reduces manual errors, and speeds up decision making. User testing and evaluation showed a high level of satisfaction, with recommendations for additional feature development in the future.

Application of a multi-criteria decision support system for assessing development potential in flood risk areas - Case study of the Warta River

The paper discusses the concept of a proprietary decision-making model that allows for determining whether the planned development in areas not protected by flood embankments and at risk of flooding can be shaped in a safe manner. The model was used to evaluate the possibility of shaping the development in flood-risk areas on the example of one of the types of Olęder villages – a dispersed village located in the floodplains of the Warta River (western Poland). So far, there has been no comprehensive evaluation method supporting proper spatial planning for flood-risk areas. The use of multi-criteria analysis methods enabled to specify the key criteria of this evaluation, which form the basis of the decision-making support system. Additionally, the elaborated method enables to determine whether the localities under study can retain their current functional nature and if there is a potential for further spatial development based on the characteristics of an Olęder village. The presented methodology can be easily adapted to other cultural areas located in countries with different levels of development, traditions, landscape or climate.

Pemanfaatan Metode TOPSIS dalam Membangun Sistem Pendukung Keputusan untuk Menentukan Jenis Penyakit Tanaman Gandum; Studi Kasus di Ladang Gandum Alahan Panjang, Sumatera Barat

Wheat (Triticum aestivum L.) is an annual plant that can grow in highland areas. There are many types of diseases that attack wheat plants, making it difficult for farmers to determine the type of disease. Therefore, it is necessary to build a Decision Support System (DSS) that can determine the type of disease that attacks wheat plants. This research aimed to design and develop a Decision Support System (DSS) application to identify the types of diseases affecting wheat by observing the physical characteristics of the plants. These disease characteristics (criteria) were then inputed into the system, which used an algorithm based on the Technique for Order of Preference by Similarity to a Ideal Solution (TOPSIS) method. The DSS method used was TOPSIS, which considered four criteria: Flower, Stem, Seed, and Leaf. The application development method for the DSS used the Waterfall model, which consisted of the following stages: requirements, definition, system and software design, implementation, and unit testing. A DSS application using the TOPSIS method can determine the type of wheat disease based on physical characteristics as criteria that are inputed into the application. This application can help wheat farmers identify the diseases affecting their plants. The use of the TOPSIS method algorithm in developing the SPK application is an innovation that can help Alahan Panjang wheat farmers in detecting diseases types affecting their crops based on visible physical characteristics. Automatically, the system provides recommendations on the type of disease affecting the wheat plants.

Sistem Pendukung Keputusan Siswa Berprestasi menggunakan Metode Simple Multi Attribute Rating Technique berbasis Web

As one of the private schools in Makassar, Elim Christian High School, the assessment process carried out by teachers on students is still done manually or by recording. Reviewing the assessment of students with academic achievements includes assessments in several subjects as well as non-academic achievements in terms of arts, sports and extracurricular activities. This research aims to design a decision support system application that can assist teachers in managing final grades to determine students with academic and non-academic achievements using a web-based application, using the Simple Multi Attribute Rating Technique Method. The research model included is the SDLC model which starts from analysis, design, implementation, testing and evaluation. Analyze student data and teacher grades. The implementation section creates a web-based application that can carry out the process of selecting the best students. Testing uses black box testing which tests all menus, ensuring the output and functionality are appropriate. The data analysis technique entered is quantitative analysis. Where, quantitative analysis in the form of data is obtained by collecting student data and their grades. The findings are in the form of an application that helps teachers provide recommendations for students who excel both academically and non-academicly in the specified assessment categories. By implementing the Simple Multi Attribute Rating Technique method in implementing the decision support system application, it makes it easier for teachers to determine outstanding students.

Sistem Pendukung Keputusan menggunakan Metode Topsis untuk Seleksi Guru Terbaik

The process of selecting the best teachers is an important aspect of ensuring optimal quality of education in a school. However, the selection process for the best teachers at SMPN 5 Kisaran often faces obstacles such as subjectivity, lack of efficiency, and lack of transparency. This research aims to produce a decision support system using the TOPSIS method to increase objectivity and effectiveness in the teacher selection process, as well as contribute to improving the quality of education. This research is a development type using waterfall, including analysis, design, coding, testing, and implementation stages. The analysis stage is to identify system requirements, the design stage is to determine the system interface, the coding stage is to build the system, and the testing stage is to validate its functionality using a black box. Teacher performance data was collected through interviews, observation, and documentation studies. Teacher performance data will be analyzed using the TOPSIS method, which involves stages of weighting criteria, calculating relative scores, and ranking teachers based on the highest scores. The results of our findings are in the form of a decision support system application for selecting the best teachers. The test results show that this system is running well and by the design and model that has been planned. With this system, it can help SMPN 5 Kisaran in selecting the best teachers.

A simulation-based approach for decision-support in healthcare processes

This article explores the application of simulation-driven decision support systems in the context of healthcare processes. The findings obtained from the review of related research suggest that simulation models have been widely used in the healthcare sector as valuable tools to aid decision-making aimed at the improvement of healthcare process management. However, the analyzed works lack sufficient evidence regarding the utilization of systematic approaches in the development of their proposals. We have conducted a research effort in this field, resulting in the design of a conceptual framework that guides in the systematic development of decision support systems centered around simulation models. The framework includes a specific methodology for developing simulation models, with simulation modeling experimentation serving as a valuable technique for assessing the impact of potential changes on the performance of the process. To illustrate the applicability and practical value of the proposed framework, we have developed an application case within the context of the Urgent Healthcare for Women's (UHW) process in a public hospital in Andalusia, Spain.

Human-centered Design of a Health Recommender System for Orthopaedic Shoulder Treatment.

Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patients during the clinical encounter to assist physicians and patients in making evidence-based shared treatment decisions. A human-centered design (HCD) process was used to develop a HRS for treatment decision support in orthopaedic medicine, the Informatics Consult for Individualized Treatment (I-C-IT). We also evaluate the usability and utility of the system from the physician's perspective, focusing on elements of utility and shared decision-making in orthopaedic medicine. The HCD process for I-C-IT included 6 steps across three phases of analysis, design, and evaluation. A team of informaticians and comparative effectiveness researchers directly engaged with orthopaedic surgeon subject matter experts in a collaborative I-C-IT prototype design process. Ten orthopaedic surgeons participated in a mixed methods evaluation of the I-C-IT prototype that was produced. The HCD process resulted in a prototype system, I-C-IT, with 14 data visualization elements and a set of design principles crucial for HRS for decision support. The overall standard system usability scale (SUS) score for the I-C-IT Webapp prototype was 88.75 indicating high usability. In addition, utility questions addressing shared decision-making found that 90% of orthopaedic surgeon respondents either strongly agreed or agreed that I-C-IT would help them make data informed decisions with their patients. The HCD process produced an HRS prototype that is capable of supporting orthopaedic surgeons and patients in their information needs during clinical encounters. Future research should focus on refining I-C-IT by incorporating patient feedback in future iterative cycles of system design and evaluation.

PENERAPAN METODE ANALYTICAL HIERARCHY PROCESS PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JENIS PRODUK SOUVENIR PERNIKAHAN YANG DIMINATI KONSUMEN BERBASIS WEB DI UMKM TAZKIYA SOUVENIR

ABSTRACTTazkiya Souvenir is a wedding souvenir manufacturer that produces various kinds of wedding souvenir products. The purpose of this research is to develop a long process with the help of a decision support system to determine the selection of souvenir products to be purchased, with the results adjusted based on the number of criteria and ranking arrangements from the highest to the lowest. . This study uses the Analytical Hierarchy Process (AHP) method because this method determines the level of importance of each criterion and is followed by a final ranking process. The result of this research is the creation of a decision support system application that can help the process of selecting the type of wedding souvenir product that suits consumer interests based on the highest value ranking results. Based on the calculation process using the Analytical Hierarchy Process method, the first place is Wallet Fold (0.325), the second place is occupied by a Fan (0.304), the third place is a Blacu Bag (0.213) and in the last position is a Pouch (0.156). Tests in this study use functionality testing which is useful for knowing the software can function properly and the system is as expected. Then a validity test was carried out using the McCall method to get a calculation result of 77.8% which is included in the good category. Keywords: Decision Support System, Wedding Souvenir, AHP

A Systematic Review on Fuzzy Decision Support Systems and Multi-Criteria Analysis in Urban Heat Island Management

The phenomenon known as urban heat islands (UHIs) is becoming more common and widespread, especially in large cities and metropolises around the world. The main cause of these temperature variations between the city center and the suburbs is the replacement of large tracts of natural land with artificial (built-up) surfaces that absorb solar heat and radiate it back at night. UHIs have been the subject of numerous studies, most of which were about defining the main characteristics, factors, indexes, etc., of UHIs using remote sensing technologies or about determining mitigating activities. This paper provides a comprehensive overview of the literature, as well as a bibliometric analysis, to discover research trends related to the application of decision support systems and multi-criteria decision-making for UHI management, with a special emphasis on fuzzy theory. Data collection is conducted using the Scopus bibliographic database. Throughout the literature review, it was found that there were not many studies on multi-criteria analysis and decision support system applications regarding UHIs. The fuzzy theory application was also reviewed, resulting in only a few references. However, this topic is current, with an increase in published papers, and authors see this as an opportunity for improvement and further research.

URBAN PLANNING FACTORS OF LAND USE MONITORING OF UNITED TERRITORIAL COMMUNITIES

There is proof that in the conditions of ensuring transformational processes, issues of formation and use of land and increasing the efficiency of their use at the local level arise. In addition, the presented processes deepen because of the reform of local self-government, which ensures the effectiveness and interaction of stakeholders. The core element in developing these relationships is the united territorial communities and land use directions and features, with consideration of the influence of factors. In the system of land relations of united territorial communities, urban planning factors that influence the development and implementation of modern monitoring tools are particularly important. The study aims to determine the urban planning factors of land use monitoring of united territorial communities. To achieve the goal, we solved the following tasks: characterisation of urban planning factors of land use monitoring and highlighting the peculiarities of the formation of urban planning factors of land use of united territorial communities. Among the peculiarities of the development of land use monitoring of united territorial communities is also the identification of a system of urban planning factors, namely the levels: development and implementation of land management projects regarding the arrangement of territories for urban planning needs; formation and application of the urban development support system; development and implementation of monitoring procedures of urban planning activities; formation and use of urban cadastre; provision of architectural and construction control; development and implementation of comprehensive plans; change in the level of construction activity in united territorial communities. We have formed local factors of urban planning support for land use monitoring of united territorial communities, with most of them determined by qualitative methods. Estimating the indicator of the change in the level of construction activity in the united territorial communities uses quantitative methods. It creates a basis for implementing monitoring procedures through the application of urban planning provision of land use of united territorial communities. Keywords: urban planning factors, land use, united territorial communities, monitoring.

Practical aspects of the application of the remote physical rehabilitation support system under audiovisual self-control

The problem of developing a system for monitoring the health state of people with chronic non-communicable disease (CNCD) is considered. To improve the effectiveness of medical care for such patients, it is proposed to use long-term remote monitoring of their health outside the medical institution and, based on the analysis of personalized patterns of dynamics of diagnostically significant indicators for the state of remission and exacerbation of the disease, to ensure the possibility of detecting its exacerbation at an early stage of development. Diseases of the musculoskeletal system remain a serious problem for modern man. A long-term physical rehabilitation is required for the treatment of such condition. At the outpatient stage, it is carried out by the patient himself. The patient doesn’t have the possibility of qualified control over the correctness of performing rehabilitation exercises at home. The remote monitoring system will allow to assess the patient's condition during the outpatient period objectively. However, existing technical solutions are difficult to use for an ordinary user. Therefore, a convenient system is needed that could increase the availability of medical services without the use of additional equipment. The presence of a motion sensor system in a smartphone increases the possibility of using this technical tool to monitor motor activity in everyday life. Purpose of the present paper: to assess the effectiveness of a remote physical rehabilitation sup-port system through its implementation in a medical institution involving patients who have under-gone a rehabilitation course during their inpatient period, including the performance of a specific set of rehabilitation exercises, and to explore the participants' experiences using a mobile application and remote physical rehabilitation support system. During the development on the NEFITNESS project, the team developed and successfully implemented in clinical practice a system for remote physical rehabilitation support under audio-visual self-control. The support system, based on an inertial sensor, a mobile application, and an online platform, led to a 11% increase in muscle endurance over six months of regular sessions compared to standard rehabilitation techniques. The following objectives were achieved: a) experience with the mobile application and physical rehabilitation support system was studied; b) quantitative characteristics of rehabilitation trajectory success were obtained through exercise performance feedback; c) participant engagement in the topic of remote rehabilitation support increased; d) accessibility of rehabilitation technologies for a wide range of users improved. The practical possibility of using a remote rehabilitation and motor activity recovery system under audiovisual self- control is presented, where a smartphone served as a feed-back tool based on an integrated motion sensor to ensure the correct execution of rehabilitation exercises. Within the framework of joint scientific research carried out at the Research Institute of Emergency Pediatric Surgery and Traumatology under the project "Development of a complex of remote physical rehabilitation of children", the remote physical rehabilitation system and mobile application "NEFITNESS" were tested. The developed system resulted in increased muscle endurance over six months of regular sessions can be scaled and applied to address various tasks related to the digital representation of restorative exercises for other segments of the musculoskeletal system.

Full-scale experiment on application of grouting-based support system in Oktyabrsky Mine

Full-scale experiment on application of grouting-based support system in Oktyabrsky Mine

INTELLIGENCE ANALYTICAL SUBSYSTEM OF CORPORATE MANAGEMENT (ON THE EXAMPLE OF AN OIL & GAS COMPANY)

The changes that have taken place in the Ukrainian economy in recent years due to the consistent impact of global macroeconomic, epidemiological and military factors of the current deep crisis - actualized for enterprises and corporations a complex adaptive reorganization of their analytical subsystem of their management [1, 2].
 In addition, in order to be consistently effective in today's global business environment (liberalization of markets, their globalization, increased competition, decreasing consumer loyalty, constant variation in oil and gas prices, etc.), oil and gas companies must have an innovative data and knowledge environment that allows seamless and effective joint leveraging knowledge inside the corporation and across the value chain [3]. The application of knowledge-based decision support systems as an important tool of innovative management policy enables effective and sustainable management of a complex of integrated processes of an oil and gas production company (mitigating the impact of crisis factors) [4].
 The scientific and practical results presented in the article regarding the methodology and design of innovative analytical subsystem of the corporation management information systems should be taken into account when reengineering corporate information systems not only in the oil and gas industry in Ukraine [5-6]. 
 Moreover, the obtained results are relevant and applicable not only for local companies, but also for international corporations on emerging markets in the context of global and regional macroeconomic and edipemical crisis phenomena.