ARAS Method Research Articles

Implementasi Algoritma ARAS Pada SPK Untuk Menentukan Peringkat Dosen Terbaik

In the world of higher education, lecturers are one of the main components in building quality and quantity. Good quality will give good results as well, to improve the quality of each lecturer, it is necessary to have an award given to lecturers from the campus so that it becomes a motivation for lecturers to improve the quality given to students and the community. Amik Mitra Gama is a private campus located in the Duri Riau area, in this case to improve the quality of education one of the steps taken is to give awards and appreciation to the best lecturers who will be selected every year. To realize this, we need an easy calculation system that is carried out in the form of ranking according to the final value, therefore a decision support system using the ARAS method is chosen because it is very appropriate for the selection process and provides convenience in the calculations which are determined based on ranking. The decision support system using the ARAS method uses 8 criteria that are set as a reference in determining the best lecturers, namely Recent Education, Lecturer Functional Position, Lecturer Certification, Number of Journal Publications, Roles in Research, Journal Publication History, Research Grants, and Community Service. There are 10 lecturers in the field of computers who will be used as alternative data with lecturer codes D01, D02, D03, D04, D05, D06, D07, D08, D09, D10. The results obtained from this study are the lecturer code D04 = 0.0974, D06 = 0.0965, D09 = 0.0932, D07 = 0.0903, D03 = 0.0901 was selected as the best lecturer in 2021/2022. So that the results of this study can help the campus to determine the best lecturers every year fairly and be selected based on rankings.

Evaluation of Unreliable Retrial G-queue Using Fuzzy ARAS Method

A Regular busy server crashes due to negative customer traffic, and holiday interruption is being considered. If the orbit empties at the end of a positive customer service, the server worked Going on vacation. A working vacation (WV) server at a low service rate works. If there are clients on the computer at the end of each holiday, the server the probability that a new visitor is inactive and on vacation is p (single WV) or with probability q (multiple WVs). Substantial variable technique, constant state probability for the system and its orbit we found the generating function. System performance measures, reliability measures and random decay law are discussed. Finally, Some numerical examples and cost optimization analysis provided. Alternative: Single-Server Review G- Sequence, Incredible Review G-Series, Volume Visit Review G-Series. Evaluation Preference: Working vacation, Bernoulli feedback, Random vacations, single vacation. Unreliable retrial G-queue, Batch arrival Retrial G-queue, single server iteration is taken as a G-sequence alternative and working vacations, random vacations, single vacation, and Bernoulli vacation is taken evaluation parameters. In this from analysis Fuzzy ARAS method the best solution determines the solution with the shortest distance and the longest distance from the negative-best solution, but comparison of these distances is not considered significant. As a result it seems unreliable retrial G-queue got the first rank where as is the Batch arrival Retrial G-queue is having the lowest rank.

Implementation Of Additive Ratio Assessment (Aras) Method For Online Reward Driver Provision

Giving rewards to online drivers is one of the annual agendas carried out at Grab Bengkulu Branch to encourage driver motivation and professionalism in improving the quality of work. The obstacles faced in giving these rewards are due to the diversity of educational backgrounds, experiences, competencies and portfolios of the drivers, so we need a system that can assist in the process of giving rewards to drivers so that they do not become sluggish and experience difficulties. In the process of designing the application of this reward decision support system using the ARAS approach. The ARAS method is a method based on the intuitive principle that alternatives must have the largest ratio to produce an optimal solution. The ARAS method performs ranking by comparing the value of each criterion on each alternative by looking at the weights of each to obtain the ideal alternative. The implementation of the system uses the Visual Basic 2010 programming language. From the results of the tests carried out, it can be concluded that the best employee with a value of 0.90, the lowest value of 0.81

Investigation the Effects of Different Social Media Platforms to Companies’ Sales Marketing Processes by Multi-Criteria Decision Making Method

Social media has become a rapidly expanding mass media tool. Today, people spend most of their time on social media and shop here with the developing technology. There are companies that analyze annual social media data and determine the sales and marketing policy by taking these figures into consideration, and arrange their ads accordingly. At this point, this study was conducted with some purposes such as companies should use social media correctly and decide on which social media platform is suitable for their product/service and how to introduce themselves to their customers. In this study, four different social media platforms were evaluated with multi-criteria decision making (MCDM) methods, the social media platform that gave the best result in the ranking was determined and with this way, it was tried to guide the companies that use social media platforms in sales and marketing activities. A multi-criteria model and two-step solution methodology were proposed within the scope of the study for the evaluation of social media platforms. In proposed methodology, the importance weights of criteria were determined by the SWARA method, while the ARAS method was used to evaluate each alternative social media platform. After all calculations, YouTube alternative was found to be more preferable than other alternative social media platforms for digital marketing with the highest utility degree. DOI : https://doi.org/10.54663/2182-9306.2022.v10.n18.133-150

Sistem Pendukung Keputusan Pemilihan Atlet Renang Sumatera Utara Untuk Kejuaraan Tingkat Nasional Dengan Metode ARAS Dan ROC

In this study, researchers used the ROC method and the ARAS method while the criteria used in the selection of North Sumatran swimming athletes for the national championship were Physical, Age, Weight, and Distance. A decision support system is a computer-assisted decision support process to assist decision support by using certain data and models to solve some unstructured problems. The calculation results from the application of the ROC method & the ARAS method were declared successful in testing the system in the assessment and ranking of the selection of North Sumatran swimming athletes for the national level championship based on the criteria inputted for alternatives. Then provide a definite assessment answer for swimming athletes who represent North Sumatra for the national level championship based on the final score obtained.

Penerapan Algoritma Entropy Dan Aras Menentukan Penerima Beasiswa Mahasiswa Berprestasi Di Pemerintah Kabupaten Labuhanbatu

In handling scholarship data for outstanding students, the Labuhanbatu Regency government in general still uses manual recording, namely by using a ledger and there is no computerization in determining the receipt of scholarships for outstanding students, so there are many mistakes in determining it.
 The problem faced by the many recipients of scholarships for outstanding students who are not appropriate so that those who deserve to receive do not receive and those who do not deserve to receive scholarships. This problem occurs because of the difficulty in implementing the selection of scholarship recipients due to the large number of applicants and the number of the same criteria in receiving scholarships. So that mistakes often occur To apply for a scholarship at the People's Welfare Office in the Labuhanbatu Regency government, students must fill out a form containing data from the student, such as Grade Point Average (GPA), Parents' income, Number of Siblings, Number of Dependent Parents. The ranking process in receiving scholarships uses the Entropy Method in giving weighting to the criteria objectively and the ARAS Method, which is a suitable method in determining the calculation of weights based on predetermined criteria and ranking from a set of alternative data that kick each other. So that it can reduce the errors that have been faced so far.

Machine Selection Application in a Hard Chrome Plating Industry Using Fuzzy SWARA and Fuzzy ARAS Methods

Machines are one of the most important production elements used by companies in the production phase. Sudden deterioration in machinery creates a process that can lead to a production halt and therefore a delay in orders. For this reason, enterprises decide to replace their old machines with newer technological machines. This replacement decision is not easy as it includes many criteria and there are many alternative machines on the market. From this point of view, in this study, a real-life application of a company's machinery purchase was made with fuzzy SWARA and fuzzy ARAS methods based on multi-criteria decision-making method. Criterion weights were determined by the fuzzy SWARA method. In the evaluation of alternative machines, the fuzzy ARAS method was taken into consideration. In the study, the criteria determined by the company manager and his team in line with the company needs were taken into consideration. Afterward, four machines were determined among the most suitable machines in the market and frequently used. Finally, calculations were made to find the machine that best meets the criteria required by the company among these machines. As a result of the calculations, the machine needed by the company was decided and the results were interpreted. Key Words: Machine Selection, Multi-Criteria Decision Making, Fuzzy SWARA, Fuzzy ARAS JEL Classification: M10, D70, D81

Evaluation of the financial performance of development and investment banks with entropy-based ARAS method

ABSTRACT The current study aimed to analyse the performance of development and investment banks operating in Turkey. Between group and within-group comparisons with public, private and foreign capital according to their ownership structures were conducted. ARAS-based performance evaluation of development and investment banks in Turkey over the period of 2010–2019 indicated that Diler Investment Bank Inc. and Merrill Lynch Investment Bank Inc. were at the top three; Turkish Sınai Development Bank Inc. with Aktif Investment Bank Inc. were found in the bottom three.

Evaluacija finansijskih performansi i efikasnosti srpskih preduzeća

Recently, various methods of multi-criteria decision-making, as well as DEA(Data Envelopment Analysis) models, have been used more and more worldwide to measure the financial performance and efficiency of companies. Based on that, this paper analyzes the efficiency of companies in Serbia using the ARAS method. According to the ARAS method, five most efficient companies in Serbia are JP POŠTA SRBIJE Belgrade, JP EPS Belgrade, JP SRBIJAGAS NOVI SAD, JP PUTEVI SRBIJE Belgrade and COCA-COLA HBC - Serbia DOO ZEMUN. First four are public companies, and the fifth is from the processing industry sector. Public enterprises are fundamentally efficient. Trading companies are well positioned. So, for example, the DELHAIZE Serbia DOO Belgrade retail chain is in the eleventh place. The efficiency factors of companies in Serbia are, in addition to macroeconomics, managerial skills in managing the company. They differ from company to company. Digitization of the company's entire operations plays a significant role in this.

Modal Auxiliary Verb Using Fuzzy ARAS Method

Modal Auxiliary Verb Using Fuzzy ARAS Method

Logistic center’s location choice with ARAS method

Logistic center’s location for goods distribution in Republic of Srpska can be asserted on many parameters from whom two has vital importance: geographical position and size of traffic flow. Special significance of these center’s are logistical diversity, especially where different branches of traffics are involved. Starting factors for developing such a center in Republic of Srpska are position on roads, rails and corridors. Main purpose of these centers are command gathering, sendig commands to transport vehicles, depo good if necessary, forming transport units and delivery. There are seven main criteria: social, law regulation, ecological, technical, economics and organization. To define these criteria survey is used, also every criteria is evaluated. Applying ARAS mathematical method Doboj city is determined to be optimal location for logistical center development.

A Novel Hybrid Fuzzy DEA-Fuzzy ARAS Method for Prioritizing High-Performance Innovation-Oriented Human Resource Practices in High Tech SME’s

A Novel Hybrid Fuzzy DEA-Fuzzy ARAS Method for Prioritizing High-Performance Innovation-Oriented Human Resource Practices in High Tech SME’s

Location assessment for producing biodiesel fuel from Jatropha Curcas in Iran

Biofuels are considered renewable sources of energy which can replace fossil fuels using naturally extracted fuels from the environment to fulfil growing demands for energy in developing countries. This paper aims to select a suitable province for producing biodiesel from Jatropha plants in new climate conditions of Iran using the additive ratio assessment method (ARAS). Previous feasibility studies lack the environmental factor when considering the cultivation of Jatropha plants in Iran. In this work, the relevant main selecting criteria were identified through using a literature review. Then, the most effective criteria were chosen and categorised as environmental, social and economical factors. The weighting of the criteria was determined by Shannon entropy method and using expert opinions. Next, the ARAS method was used for prioritizing the provinces in Iran. From the results, it is observed that the environmental factor is the key parameter for selecting biodiesel plant location. Furthermore, Golestan province was selected as the best candidate location in Iran for establishing a biodiesel plant using Jatropha plants. Using the semi-arid pastures of Golestan province (about 402,000 Hectares), 1,930,000 tons biodiesel can be produced annually for supplying the fuel to 600,000 diesel cars.

Corporate Sustainability Performance Assessment: CRITIC-ARAS Integrated Model

In today's world, businesses struggle to survive in an intense competitive environment as a result of changes and developments that occur due to globalization. In this competitive environment, the importance of not only economic indicators but also social indicators is increasing day by day for businesses to gain competitive advantage. Therefore, businesses will be able to reveal their competitive advantage in their economic, social and environmental aspects in their sustainability reports. In this context, the main purpose of corporate sustainability and sustainability accounting is to meet the information needs of the business stakeholders and to measure and evaluate the corporate performances of the enterprises as a result of their activities for sustainability purposes. In today's world, businesses struggle to survive in an intense competitive environment as a result of changes and developments that occur due to globalization. In this competitive environment, the importance of not only economic indicators but also social indicators is increasing day by day for businesses to gain competitive advantage. Therefore, businesses will be able to reveal their competiti-ve advantage in their economic, social and environmental aspects in their sustainability reports. In this context, the main purpose of corporate sustainability and sustainability accounting is to meet the information needs of the business stakeholders and to measure and evaluate the corporate perfor-mances of the enterprises as a result of their activities for sustainability purposes.The aim of this study was to evaluate the corporate sustainability performance of the companies registered at Borsa İstanbul, operating in the production sector, as per various economic, environmental, and social indicators. An algorithm based on the integrated use of CRITIC and ARAS methods was used in the performance assessment of businesses, and corporate sustainability performance ranking results were presented. The CRITIC method, which is one of the objective weighting methods, was used to de-termine the weight of the criteria, while the ARAS method was used to determine the performance rankings of alternatives. As a result of the analysis in terms of corporate sustainability, OTKAR has been determined as the company with the best economic performance, AYGAZ with the best environmental performance, and KERVT with the best social performance.

A new approach for criteria weight elicitation of the ARAS-H method

Criteria weight inference is a crucial step for most of multi-criteria methods. However, criteria weights are often determined directly by the decision-maker (DM) which makes the results unreliable. Therefore, to overcome the imprecise weighting, we suggest the use of the preference programming technique. Instead of obtaining criteria weights directly from the DM, we infer them in a more objective manner to avoid the subjectivity and the unreliability of the results. Our aim is to elicit the ARAS-H criteria weights at each level of the hierarchy tree via mathematical programming, taking into account the DM’s preferences. To put it differently, starting from preference information provided by the DM, we proceed to model our constraints. The ARAS-H method is an extension of the classical ARAS method for the case of hierarchically structured criteria. We adopt a bottom-up approach in order to elicit ARAS-H criteria weights, that is, we start by determining the elementary criteria weights (i.e. the criteria at the lowest level of the hierarchy tree). The solution of the linear programs is obtained using LINGO software. The main contribution of our criteria weight elicitation procedure is in overcoming imprecise weighting without excluding the DM from the decision making process. Keywords: Multiple Criteria Decision Aiding, preference disaggregation, ARAS-H, criteria weights, mathematical programming.

Wireless Sensors in Agriculture and Food Industry Using the ARAS Method

Wireless sensors in agriculture and food industry. Agriculture for Wi-Fi sensors and Wireless sensors in the food industry. Three styles of networks: big name community, hybrid community, and mesh network, developed and standardized Bluetooth technology Star networks use, such as beacons and scatterers are Each piconet is a primary node connects to seven slave nodes, whereas each Scatternet and more than one piconet Forms an ad-hoc network. Zigbee generation makes use of hybrid star networks, which use a couple of grasp Non-routing slave nodes Nodes with routing capabilities to connect. agricultural production and offer well-timed remarks to users. Nowadays, wireless sensor networks (WSN) are broadly utilized in agricultural monitoring to improve the satisfaction and productivity of agriculture. In this software, sensors collect various styles of statistics (ie, humidity, carbon dioxide stages, and temperature) in real-time shows. Stores, plant life, hospitals, parking plenty, or even eating places use wi-fi sensor networks (WSN) to improve patron experience, save emergencies, enhance delivery chains, and greater. Wireless sensors are used in the agricultural enterprise. Farmers can screen cattle. The sensors then gather data for evaluation. Therefore, ability threats such as diseases or animal feeding schedules are diagnosed through the tool to assist farmers to maintain their cattle healthy. A wi-fi sensor network is a radio frequency (RF) microcontroller and transceiver, Sensors, and machine made from strong sources. A wireless sensor with self-recovery capabilities Networks solves problems or traditional to allow programs that cannot be solved by technologies have improved. Once available, wireless sensor build is in its early development stage Many new programs not previously considered possible This technology allows us to detect Agriculture and wireless sensors in food establishments Applications are even rarer. Agriculture and Food A wireless sensor are suitable for industry This is an overview of the technology The article intends to present. The additive ratio assessment ARAS method for complex decision problems Tries to simplify and for alternatives that can reflect the difference between by the corresponding indicator (degree of use). Selects the "best" alternative. Radio, Data rate, Nodes per master, Slave enumeration latency, Data type, Range (m), Extendability, Battery life.Feature, WiFi (IEEE 802.11b), Bluetooth (IEEE 802.15.1), ZigBee (IEEE 802.15.4). Range (m) is showing the highest value of rank whereas Slave enumeration latency is showing the lowest value. Wireless sensors in agriculture and food industry for Additive Ratio Assessment method. Range (m) is showing the highest value of rank whereas Slave enumeration latency is showing the lowest value.

Analysis of Humanoid Robots Using Additive Ratio Assessment (ARAS) Method

A humanoid robot resembles A human body. These robots are human tools and Designed to interact with customer service Professional service robots. This human figure Robots for inspection and maintenance are used; Humanoid robots have a very unique style. The knees are bent and the body is as stable as possible. Even Boston Dynamics’ own Atlas uses this type of squatting to get around. Alternative: Eyebrow Frown, Raise Eyebrows, Up Turn Lip Corners, Open Mouth, Tighten Mouth, Raise Chin. Evaluation Preference: Pleasantness, Discrepancy, Anticipated Effort, Attention Activity, Certainty, Personal Agency, Novelty. From the result it is seen that Personal Agency is got the first rank where as is the Anticipated Effort is having the lowest rank. The value of the dataset for A humanoid robot in ARAS method shows that it results in Personal Agency and top ranking.

Sosyo-Ekonomik Refah Düzeyinin Belirlenmesinde Alternatif Bir Endeks Çalışması: ARAS Yöntemi ile G-20 Ülkeleri Uygulaması

The level of well-being is important in terms of monitoring macro-level progress and determining the necessary strategies. Although economic factors are the focus of the well-being level assessment, an increase in concerns about social issues such as equality, health, safety, and quality life, along with the crises, reveals the need to consider social indicators in this valuation. Currently, there are many indices developed such as the Human Development Index and the World Happiness Index. Although the indicators of each index differ, it is seen that subjects such as “healthy and long life”, “education”, “gender equality”, “standard of living”, “labor force” come to the fore. In this study, in addition to these areas, indicators on the dimensions of business environment, communication infrastructure, defense and population are included. In terms of the scope of the focus area of each index, an index has been developed that can be an alternative to multidimensional, socio-economic well-being level indices in terms of representing all. To test the effectiveness of this index, an application has been made on the G-20 countries using the ARAS method and the countries that stand out in terms of socio-economic well-being level are listed. Comparing the findings with the related indices, similar results were observed. According to the results, it has been determined that Australia, Canada, America, Germany, and England are the countries with the highest socio-economic well-being level. However, Turkey, South Africa, Indonesia, Brazil, and India are located in the last row.

The application of blockchain technology in E-government in India using additive ratio assessment system ARAS method

The application of blockchain technology in E-government in India using additive ratio assessment system ARAS method

Racionalizacija procesa u skladišnom sistemu primenom ABC analize i višekriterijumskog odlučivanja

Cost rationalization has become imperative in every economic system in order to create adequate foundations for its efficient and sustainable management. Competitiveness in the global market is extremely high and it is challenging to manage business and logistics systems, especially in regards to financial parameters. The presence of inventories is inevitability in every logistics system, and it tends to create adequate policies for their efficient and sustainable management. In order to be able to do this, it is necessary to determine which products represent the largest percentage share in the value of procurement, and which are the most represented quantitatively. In this paper, the warehouse of construction material that represents the wholesale system is considered. Taking into account that it is wholesale, it is necessary to determine what the procurement costs are and what the demand is for certain products. The grouping of products into three categories A, B and C was performed, after which it is necessary to identify appropriate suppliers for each category in order to rationalize procurement costs. Financial, logistical and quality parameters are taken into account. The FUCOM method has been used to determine the significance of these parameters and ARAS method is applied for supplier evaluation and selection.