Simple Multi-Attribute Rating Technique Research Articles

Implementation of the AHP-SMARTER Method in the Decision Support System for Giving Sanctions for Violation of Student Disciplines

Violations of school rules are often carried out by students, including lack of respect for teachers, students who are not on time, often late for class, skipping classes, jumping fences, smoking and not paying attention to the rules and other regulations in school. This study aims to build a decision support system for sanctions for violations of student discipline that has the ability to analyze each of the criteria and sub-criteria that have been determined by the school. In this case, students who violate school rules will be punished and given sanctions so as to provide an output value of priority intensity which results in a system that provides an assessment of violations against students. The method used in building this decision support system is by combining the Analytical Hierarchy Process (AHP) method and the Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) method. Weighting criteria using the AHP method and for ranking using the SMARTER method. The system created can be used to assist in processing data on violations of school rules. With this decision support system, it is hoped that policy makers will have no difficulty in determining what types of actions and sanctions will be given to students who violate school rules.

A comparative analysis of the circular economy performances for European Union countries

ABSTRACT Circular economy (CE), which has emerged with the integration of environmental science and sustainable development, has a significant contribution to human development and is a constantly developing concept that can be measured at the country, region, city, or enterprise level. Evaluating the CE performances of the European Union (EU) member countries at specific periods is crucial for monitoring their development. This study bridges the gap in the literature in terms of the method, dataset, and comparative analysis used while measuring the CE performances, and this is one of the first studies to look at the importance weights of CE criteria. In this study, a novel approach is proposed to evaluate the CE performances of EU member countries. The evaluation criteria are based on the European Commission CE monitoring framework in the proposed approach. The importance weights of criteria are determined using the fuzzy Simple Multi-Attribute Rating Technique (SMART) approach. The EU member countries are ranked according to their CE performances with the Combinative Distance-Based Assessment (CODAS) method considering the weights of the evaluation criteria. The proposed evaluation approach is applied by taking 2014, 2016, and 2018 years data into account. As a result of the application, according to the CE efficiency, the top five countries are the Netherlands, Luxembourg, Belgium, France, and Germany. The study’s findings can assist researchers and policymakers in gaining a better understanding of countries’ CE performance levels.

Decision Support System Determining Types of Food Crops Based on Soil Content Using the SMART Method (Simple Multi Attribute Rating Technique) and McCall

Utilization of decision support systems as a tool for decision makering that integrates directly with computer in providing information and solutions. This research implements the method of SMART (Simple Multi-Attribute Rating Technique), to calculate the criteria that become the benchmark for determination of the type of plant is appropriate based on the content soil. In building a Decision Support System using six criteria, namely hummus, regosol, alluvial, grumusol, andosol, and nitrogen. Testing the decision support factors to determine the type of plant-based on the soil as measured by McCall’s quality using 3 aspects of measurement. From the results 15 respondents obtained for the aspect of correctness with a value of 71.33%, the aspect of reliability with a value of 71.33%, reliability aspect with a value of 67.1%, and aspects of usability with a value of 48.27%. Overall, the test results from the 3 test aspects results obtained are 62.37%, which indicates this system has a good category and is worth to use.

Análisis de sostenibilidad del ciclo de vida de la expansión de energía en Brasil

The sustainable development paradigm has been encouraging the current worldwide transition from fossil fuels torenewable energy sources and a more balanced approach to the social-environmental concerns against economic hegemony, which implies changes in how decision-makers design the future electricity system. In this context, this paper explores the integration of the Life Cycle Sustainability Assessment (LCSA) with a Multicriteria Decision Making (MCDM)method, named Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER), in order to analyze and compare the sustainability performance of the current electricity mix with different future scenarios in Brazil, reported by The Brazilian Ten-Year Energy Expansion Plan 2027. This analysis considers nine criteria distributed into environmental, social,and economic dimensions of sustainability obtained from different sources, such as literature, the Ecoinvent 3.5 database, and calculated by ReCiPe 2016 and USEtox 2 methods. According to the results, the current electricity mix presents the best social and economic performance, and its environmental performance will enhance in the future, mainly due to the expansion of some renewable energy sources. Concerning the future scenarios investigated, the results indicate that those with greater participation from these energy sources are associated with the best sustainability performance. However, it isworth pointing out that these results do not represent the most suitable Brazilian electricity mix path. Besides the criteriaconsidered in this paper, it is influenced by other factors, such as technical, geographical, and national policy. Furthermore, assuming different suppositions and system boundaries for energy sources and technologies might significantly vary our findings.

A hesitant fuzzy SMART method based on a new score function for information literacy assessment of teachers

As two powerful and flexible tools for decision-makers (DMs) to model the complex cognition, the hesitant fuzzy set (HFS) and hesitant fuzzy linguistic term set (HFLTS) allow DMs to express their opinions with several possible membership values or linguistic terms on the objects over each criterion. The aim of this article is to develop a novel score function of the HFS and HFLTS including hesitant degree and fuzzy degree information. For this purpose, the notion of fuzzy degree of the hesitant fuzzy element (HFE) and hesitant fuzzy linguistic element (HFLE) is introduced first. Then, considering both the hesitant degree and fuzzy degree information in expressions, the new score function, namely the Score-H&FD, is designed. Based on which, we extend the classical SMART (simple multi-attribute rating technique) method to the hesitant fuzzy environment. As a result, the hesitant fuzzy SMART (HF-SMART) method is developed in this article. Afterwards, we apply our proposed approach to assess and rank several teachers concerning information literacy. Finally, sensitive analysis and comparative analysis are carried out. The results show that the proposed method in this article has substantial advantages and applicability.

Generation of Potential Sites for Sustainable Water Harvesting Techniques in Oum Zessar Watershed, South East Tunisia

Water harvesting techniques (WHTs) are important climate change adaptation measures to better manage rainwater for domestic and agricultural purposes, but which WHT to plan where is subject to sustainability considerations. Moreover, suitability of different WHTs varies from one location to another, depending on physical and socio-economic conditions. This study aimed to identify suitable sites for WHTs taking into account stakeholders’ sustainability criteria. In a participatory assessment framework, Geographic Information Systems and the “Simple Multi-Attribute Rating Technique” were combined to generate suitability maps and to guide sustainable WHTs investments. Steps included the calculation of a sustainability index for a set of traditional and newly introduced WHTs from the perspective of two stakeholder groups, farmers and decision-makers, and its integration with layers of biophysical constraints. An application of the framework in the Oum Zessar watershed, southeast Tunisia, shows that traditional techniques are the most suitable and sustainable for farmers and fall within the highly suitable class in 76.4% of the total area, while decision-makers prefer innovative techniques that are highly suitable in 80.4% of the watershed. The framework offers a scalable transparent process for knowledge integration in support of WHT investment decisions that can be adapted to other dryland areas.

Penerapan Metode SMART untuk Rekomendasi Pencari Kerja Terbaik

PT. PLN (Persero) in serving the community requires quality human resources. The quality of employees in supporting the advancement of a company is very important, so many companies are trying to have quality employees. The way that can be done is by recruiting prospective job seekers in accordance with the criteria desired by the company, it's just that so far many companies have problems in the filing and sorting process because it is done manually, so the results do not match the criteria for the desired job seekers So we need a decision support system with the Simple Multi Attribute Rating Technique method to provide recommendations for the best job seekers with the criteria for Endurance tests, academic tests, psychological tests, laboratory tests and interview tests. The final result of this SPK is that it can provide recommendations for the best job seekers in accordance with the specified criteria.

Implementasi Metode Smart Untuk Penetapan Ranking Siswa Menggunakan Php Dan Mysql

By looking at student achievement, the educator in evaluating whether the teaching system used has been successfully accepted or not by the students being taught. Online learning media using a technology approach that is more appropriate to today's student learning systems than the conservative method of learning in class. In addition to class ranking positions, there are also student positions in the Parallel Class Ranking (RKP). The list of RKP positions contains the names of students, sorted by the highest total score for each grade level and announced on the school bulletin board. The Simple Multi Attribute Rating Technique (SMART) method is a multi-criteria decision-making method based on the theory that each alternative consists of a number of criteria that have a value and each criterion has a weight to describe how important its value is compared to other criteria. So the problem is how to implement the smart method for ranking. With the aim of providing student ranking information using the smart method (simple multi attribute rating technique) based on student assessments. It is hoped that this implementation can become a reference not only for stone sales decisions based on rankings but can apply online and structured assessments.

Sistem Pendukung Keputusan Dalam Penentuan Promosi Jabatan Menggunakan Metode AHP dan SMART

Company competition to be the best in the current era of globalization is getting tighter. Employees at the company are one of the keys for companies to be able to compete by increasing their abilities and placing the right positions in accordance with the skills possessed by these employees. Position promotion can be done if it is done effectively and efficiently. The same is the case at PT.Fokus Jasa Mitra which carries out promotions to employees who will occupy new positions. However, the determination process is still less effective and efficient because the calculation process is still manual. Therefore, a decision support system is needed to solve the existing problems, the authors use a combination of the AHP (Analytical Hierarchy Process) and SMART (Simple Multi Attribute Rating Technique) methods which can produce a weighting for each criterion and the final value of the alternative that is ranked first. In this study, the results of the calculations obtained, the best value or being the first rank of the twenty alternative data is Alternative 2 with a final value of 61,784 so that this calculation can be said to be effective and efficient.

Decision Support System Using Simple Multi-Attribute Rating Technique Method in Determining Eligibility of Assistance

Determining the viability of establishing business support for small and medium companies (UKM) is one of the activities that must be assessed carefully and selectively based on the existing evaluation at the Medan City Cooperatives and UKM Office. It is hoped that as a result of this, adequate outcomes for business development help for small and medium companies (UKM) to get assistance funding in business development can be obtained. The solution to the aforementioned issues is to construct a decision support system to aid in determining the feasibility of UKM development assistance. Smart (Simple Multi-Attribute Rating Technique) was chosen to facilitate the aforementioned problem solution by assigning weight to each choice. This decision support system demonstrates how improvements in science and technology may help the Medan City Cooperatives and UKM Office determine the feasibility of village development assistance for the right choice of SMEs based on the proper factors and calculations

Frequency recommendation for long term evolution network implementation using simple multi attribute rating technique

<span>The increasing demand for telecommunication services causes data traffic density. Therefore, in this research, the long-term evolution (LTE) network expansion was carried out using a choice of frequency bands of 700 MHz, 2100 MHz, and 2300 MHz. The analysis was carried out from the technical and economic aspects. Frequency band recommendations were obtained using the simple multi-attribute rating technique (SMART) method. This research was conducted using a case study of Semarang City. Based on the simulation results, the average of reference signal receive power (RSRP) values for frequency 700 MHz and 2300 MHz is in the very good range, while the frequency of 2100 MHz is in the good range. The signal to interference noise ratio (SINR) values for the three frequencies are in the normal category and the throughput values are in the very good category. The techno-economic calculations of the three frequencies, namely the value of internal rate of return (IRR), net present value (NPV), and payback period are included in the business category that is feasible to do. Based on the ranking results, the 700 MHz frequency is the most superior, both in terms of technical and economic aspects.</span>

ERP systems selection in multinational enterprises: a practical guide

The Enterprise Resource Planning (ERP) system selection is an early phase in the ERP adoption process. When organizations evaluate an ERP, they commonly develop their own selection criteria that usually involve various system and vendor related factors. While the selection process is critical, however, there is an apparent research gap in literature. The ERP selection effort also focuses on the system’s fit with the organizational requirements and needs. Thus, the selection phase is critical, because if an organization chooses an unfit ERP, the whole project could be predestined to fail. This research provides an overview of an ERP selection process at an overseas branch office of a multinational company. The process employed a simple multi-attribute rating technique (SMART) for evaluation. In addition, this research presents how cross-border data protection laws between the parent company and its branch have influenced the selection process. As the ERP system has been implemented successfully, the method and the selection factors have been proven adequate for the selection process.

A Trust Management Model for IoT Devices and Services Based on the Multi-Criteria Decision-Making Approach and Deep Long Short-Term Memory Technique.

Recently, Internet of Things (IoT) technology has emerged in many aspects of life, such as transportation, healthcare, and even education. IoT technology incorporates several tasks to achieve the goals for which it was developed through smart services. These services are intelligent activities that allow devices to interact with the physical world to provide suitable services to users anytime and anywhere. However, the remarkable advancement of this technology has increased the number and the mechanisms of attacks. Attackers often take advantage of the IoTs’ heterogeneity to cause trust problems and manipulate the behavior to delude devices’ reliability and the service provided through it. Consequently, trust is one of the security challenges that threatens IoT smart services. Trust management techniques have been widely used to identify untrusted behavior and isolate untrusted objects over the past few years. However, these techniques still have many limitations like ineffectiveness when dealing with a large amount of data and continuously changing behaviors. Therefore, this paper proposes a model for trust management in IoT devices and services based on the simple multi-attribute rating technique (SMART) and long short-term memory (LSTM) algorithm. The SMART is used for calculating the trust value, while LSTM is used for identifying changes in the behavior based on the trust threshold. The effectiveness of the proposed model is evaluated using accuracy, loss rate, precision, recall, and F-measure on different data samples with different sizes. Comparisons with existing deep learning and machine learning models show superior performance with a different number of iterations. With 100 iterations, the proposed model achieved 99.87% and 99.76% of accuracy and F-measure, respectively.

The Implementation of the Simple Multi Attribute Rating Technique Method for Evaluating the Guidance Process for the Final Project of the Applied Software Engineering Technology Students

Simple Multi Attribute Rating Technique (SMART) is a method that is able to solve problems with multi criteria. In the evaluation of the final project guidance process students of applied software engineering technology are intended to identify supporting factors as well as obstacles for students in completing the final project. Used several criteria such as liveliness of guidance, guidance response, how to communicate, mastery of materials, problem solving and report writing. The problem in determining the cause of the hampered completion of the final project is the lack of tools that can help in processing the criteria data. The solution is to utilize the SMART method with multi criteria problem solving as a tool in decision making. With the utilization of this method is expected to provide solutions in evaluating the guidance process so that the results can be accepted by all students objectively. With the decision support system model, it is expected to be able to know the problem factor in completing the final project so as to help in the implementation of the final project in the next period.

The Implementation of the Simple Multi Attribute Rating Technique Method for Evaluating the Guidance Process for the Final Project of the Applied Software Engineering Technology Students

Simple Multi Attribute Rating Technique (SMART) is a method that is able to solve problems with multi criteria. In the evaluation of the final project guidance process students of applied software engineering technology are intended to identify supporting factors as well as obstacles for students in completing the final project. Used several criteria such as liveliness of guidance, guidance response, how to communicate, mastery of materials, problem solving and report writing. The problem in determining the cause of the hampered completion of the final project is the lack of tools that can help in processing the criteria data. The solution is to utilize the SMART method with multi criteria problem solving as a tool in decision making. With the utilization of this method is expected to provide solutions in evaluating the guidance process so that the results can be accepted by all students objectively. With the decision support system model, it is expected to be able to know the problem factor in completing the final project so as to help in the implementation of the final project in the next period.

Penentuan Pemberian Bantuan Smart Fishing Kepada Nelayan Menggunakan Metode SMART

Abstract- Fisheries development as part of national economic development has the aim, among others, to improve the standard of living and welfare of the fishing community. The effort to realize the Champion fisherman and Fish Warehouse program to encourage fish production in the West Java provincial government of West Jawa through the Department of Marine Affairs and Fisheries seeks to develop fishery potential through the SMART FISHING assistance program. So that the aid program is properly, an application is made to determine the fisherman who are entitled to receive assistance. The purpose of this study is producing a SAFIA application using the SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE method based on a web framework that can facilitate the Department of Marine Affairs and Fisheries of West Java to determine the best group of fisherman according to the criteria for receiving assistance. The Result of making this research is how the SAFIA application works with accuracy

Assessment of Employee Using Simple Multi-Attribute Technique Exploiting Rank (SMARTER) and Behaviorally Anchor Rating Scale (BARS) Method

Lecturers' active role as the spearhead of higher education has an essential role in improving higher education quality and sustainability. Therefore, assessing work behaviour is needed to measure how lecturers participate in achieving the vision and mission, quality improvement, and service guarantee to students and complementary documentation. This condition became the basis of research. They are implementing decision support systems with Simple Multi-Attribute Rating Technique Exploiting Ranges (SMARTER) and Graphic Rating Scale (GRS) to measure a lecturer's behaviour by using multiple criteria. With the SMARTER method and Behaviorally Anchor Rating Scale (BARS). By applying the impermeable BARS method, the work behaviour assessment process results in ease and accuracy that is more in line with the employees' behaviour being assessed. With the SMARTER approach, an assessment of employee work behaviour is produced, with 90% of alternatives used. The results are Good.

Penerapan Metode Simple Multi Attribute Rating Technique Pada Pemberian Bonus Tahunan Karyawan

Employees are one of the most important aspects of a company. Quality employees will improve the quality of the company. To encourage employees to give their best to the company, companies can give bonuses to their employees. PT Budi Gema Gempita (BGG) is one of the companies that provides annual bonuses to its employees. In determining which employees will receive bonuses, PT Budi Gema Gempita (BGG) still uses paper to make an assessment. a decission support system is needed which can help Budi Gema Gempita (BGG), especially Human Resource Development (HRD) and division heads in the process of giving bonuses. The Simple Multi Attribute Rating Technique (SMART) method will be used because of its simplicity at responding to the needs of decision makers and how it responds. SMART is a multi-criteria decision method and a linear additive model to predict the value of each option. The use of SMART method is expected to provide the best recomendations for leaders to provide bonuses to employees

Implementation of the Simple Multi Attribute Rating Technique (SMART) Method on the Decision Support System for Determining Revolving Fund Capital Loan Receipt at the Cooperative Service

The purpose of writing this final project is to find or recommend recipients of revolving fund borrowings at the cooperative office, therefore a Decision Support System is needed for the recommendation for acceptance of revolving capital loans at the cooperative office using the smart method. The research method applied in this research is the development of the waterfall method. The waterfall method is a systematic and sequential information system development model Implementation of the Smar Method in a Decision Support System for determining the acceptance of a revolving fund capital loan at the cooperative service is an algorithm for processing data based on the weight of the criteria. The Samrt method is a method used to determine the acceptance of a revolving fund capital loan based on the weight of the criteria, at the Cooperative Service there are six criteria, namely, capital range, rate, number of members, cooperative status, legal entity, length of establishment, each decision is calculated based on the six criteria above. Decision Support System Recommendation Revolving fund loan acceptance is built using Visual Basic programming language and Microsoft Access database. The Decision Support System produced in this study can display cooperative data and the ranking of the results of receiving revolving fund loans based on existing data so that it can be used as a solution or consideration in the process of receiving revolving fund loans.

Blockchain-Based Trusted Property Transactions in the Built Environment: Development of an Incubation-Ready Prototype

Blockchain can be introduced to use cases in the built environment where reliability of transaction records is paramount. Blockchain facilitates decentralised, cryptographically secure, trustworthy, and immutable recordkeeping of transactions. However, more research is urgently required to understand the process and complications in implementing blockchain solutions in the built environment. This paper demonstrates a methodology for developing a blockchain system starting from problem analysis, selection of blockchain platform, system modelling, prototype development, and evaluation. The evolutionary prototyping model was selected as the software development methodology for the use case of property transactions. A systematic process protocol involving the multi-criteria decision-making method, Simple Multi Attribute Rating Technique (SMART), was used to select Hyperledger Fabric as the most suitable blockchain platform for the prototype. The system architecture facilitates a simplified, lean property transaction process implemented through chaincode (smart contract) algorithms and graphical user interfaces. System evaluation through test cases allowed iterative improvements, leading to an incubation-ready software prototype. The contribution to knowledge of this paper is in the demonstration of the process to follow to implement a blockchain solution for a specific domain. The findings provide the foundation for developing proofs of concept for other potential applications of blockchain in the built environment.