MAUT Method Research Articles

Kombinasi Metode Pembobotan Entropy dan Multi-Attribute Utility Theory Dalam Penentuan Karyawan Terbaik

Selecting the best employees is an important process in a company to recognize and reward the outstanding contributions of its employees. The main purpose of this selection is to motivate other employees to continue to improve the quality of their work, as well as create a competitive and productive work culture. The problem that arises is the potential for jealousy and unfair competition among employees in the selection process is considered not transparent or unfair, this can cause a sense of dissatisfaction and demotivation in employees who feel that their contributions are ignored. The combination of entropy and MAUT weighting methods has been an interesting approach in the context of determining the best employees. This combination provides a comprehensive and objective framework for making better decisions in selecting employees who best suit the company's needs. The ranking results provide an overview of the results of selecting the best employees using a combination of entropy and MAUT methods. Employees on behalf of Titin Yuliana were ranked 1st best employees with a final score of 0.4801, employees on behalf of Jepri were ranked 2nd best employees with a final score of 0.376, and employees on behalf of Andi were ranked 3rd best employees with a final score of 0.2929. The ranking results of the combination of entropy and MAUT methods can provide a more holistic picture of the employees who best suit the company's needs. By combining objective information about employee performance (using MAUT) with an objective evaluation of the weight of criteria (using Entropy), the end result can become more accurate and trustworthy.

An Analysis of the Círcular Economy in Europe through Comparative Research Employing the CRITIC-Based MAUT and COPRAS Methods

Purpose: The circular economy is an approach to sustainability that takes into account both the economic and environmental benefits of repurposing waste or underutilized inert assets into new, useable products or services. The research aims to present a comparative analysis of EU countries with multi-criteria decision-making methods using various indicators covering many topics, including emphasis on recycling, use of circular materials, material efficiency and collective management of waste. Methodology: The research aims to determine the weights through the application of the CRITIC method. It is gathered in 22 sub-indicators under three main categories, including sustainable resource management, social behaviour, and business operations, so as to assess effectiveness with regard to this notion while comparing nations. Additionally, every nation in the EU that has indicator data is assessed employing cluster analysis, a method of data mining, in addition to multi-criteria decision-making techniques like MAUT and COPRAS. Findings: Based on the assessments of nations, Denmark, Luxembourg, Finland, Austria, Sweden, the United Kingdom, and Germany exhibit a favourable and noteworthy distinction from other nations. Originality: This study offers the opportunity to make comparisons with a multi-criteria decision-making approach when it comes to environmental and circular economy goals.

Sistem Pendukung Keputusan Pemilihan Smartphone Kelas Midrange 2023 dengan Menggunakan Metode MAUT

Smart phones (HP) have become a basic need for society in various aspects of life, from communication, entertainment, information, to work. There are various kinds of cellphones on the market, with various features and specifications offered. The price of cellphones is getting more and more expensive, so consumers' needs for using cellphones are also different. Midrange cellphones are suitable for users who want a cellphone with fairly good specifications, but at a relatively affordable price. Midrange is a category of cellphone that is between the entry-level and high-end categories. Midrange cellphones usually have better specifications than entry-level cellphones, but are not as expensive as high-end cellphones. Therefore, an appropriate midrange class cellphone selection process is needed for people to get a cellphone that suits their needs at an affordable price. In the selection process for midrange class cellphones, a decision-making technique known as SPK (Decision Support System) is required. In this research, the MAUT method is used for the midrange class HP selection process. The level of importance of each criterion is determined by the researcher himself. The final result obtained is that the A5 is the highest midrange class cellphone with a final value (Ui) of 0.865. The second ranked alternative is A13 with a final value (Ui) of 0.857 and the third ranked alternative is A17 with a final value (Ui) of 0.657.

Decision Support System for Determining New Branch Location Applying the MAUT Method with ROC Weighting

The new branch location is close to people's activities with the availability of adequate facilities, making it convenient for consumers to access the services/products they need. The determination of the feasibility of a new branch location by several product or service producers still uses an inaccurate system, which can lead to problems in determining a strategic and targeted new branch location. However, there are some challenges in selecting a new branch location, so the utilization of technology is considered efficient, easy, and flexible, widely used by entrepreneurs, especially in determining new branch locations. This is done by using the assistance of a decision support system, which is expected to help determine an efficient and strategic new branch location. The aid comes in the form of a Decision Support System using the MAUT method with ROC weighting. After calculating each criterion and alternative, the best ranking is obtained for alternative A6 with a value of 0.6847. This way, business groups will not have difficulty in determining a new branch location through alternatives and criteria. The use of the MAUT method with ROC weighting is expected to assist in obtaining the best and valid alternatives up to the ranking stage

Sistem Pendukung Keputusan Penentuan Lokasi Pabrik Baru Menggunakan Metode ROC dan MAUT

Factories are places where goods and services are mass produced. Factories collect and integrate various resources, such as labor, capital, and machines. Factories have an important role in a country's economy, because they produce goods and services that society needs. Apart from that, factories can also create jobs and improve community welfare. However, factories can also have a negative impact on companies and the environment. Companies that produce goods with certain raw materials must consider the availability of raw materials at the factory location. If raw materials are not available at that location, the company must bring them in from other locations, which can increase production costs. Apart from that, companies must also consider the availability of adequate infrastructure, such as roads, electricity, air and telecommunications. If infrastructure is inadequate, companies have to invest to build it, which can also increase production costs. In this study, the ROC method and the MAUT method were used, the ROC method was used to determine the level of importance of the criteria used in selecting the factory location. The MAUT method is used to rank factory locations. The five criteria used in selecting factory locations are: availability of raw materials, availability of infrastructure, labor costs, transportation costs, and environmental impact. A total of 10 factory locations were selected based on predetermined criteria. The final results show that the best factory location is location E with a final score of 0.682, followed by location H and location F with a final score of 0.619 and 0.453 respectively.

Decision Support System for Performance Assessment of Honorary Personnel Applying TOPSIS, SMART, and MAUT Methods with a Combination of ROC Weighting

This research explores the assessment of honorary personnel performance through the application of the TOPSIS, SMART, and MAUT methods, along with ROC weighting. In today's competitive landscape, effective decision-making is vital for organizational success, and the role of Decision Support Systems (DSS) is emphasized. Unfair assessments can impact motivation and productivity, necessitating comprehensive criteria such as Work Discipline, Cooperation, and Education. The study employs TOPSIS, SMART, and MAUT, supported by ROC weighting, to holistically evaluate honorary personnel. The literature review provides insights into DSS and the methodologies used. The qualitative methodology involves literature review, problem identification, data collection, and method application. The findings highlight the dominance of certain alternatives in each method. The conclusion emphasizes the importance of method selection for accurate evaluation. Further study suggestions include exploring external validity, longitudinal impact, and qualitative research for a comprehensive understanding. This research aims to enhance organizational decision-making and improve the assessment of honorary personnel performance

Implementasi Metode Multi Attribute Utility Theory dalam Menentukan Pengahargaan kepada Karyawan Terbaik

Employees are very important human resources (HR) in business entities / companies. The development of a business entity is driven by employees who have high quality and loyalty. The purpose of this research is to determine the best employees who are entitled to receive awards / rewards from sanjai stores. To support the purpose of this research, the MAUT method is used because it has the ability to select alternatives efficiently and effectively because the time required for calculation is shorter based on predetermined criteria. Furthermore, the ranking process is carried out to determine which employees are entitled to an award. The data used are several criteria that have been determined by the store in determining the best employees and are entitled to receive awards, among these criteria include length of work, attendance, job knowledge, cooperation, responsibility, honesty, and age.The calculation results obtained using the MAUT method recommend the best employee AL03, with the highest score of 0.669. So that this research can be an objective material for the sanjai shop in determining the best employees.

Decision Support System for Student Exchange Selection in Support of Independent Campus using the MAUT and ROC Methods

Independent campus is an off-campus learning activity as an opportunity for students to hone skills in preparation for entering the world of work. One of the programs held is the exchange of students to be able to study on campuses or companies that join the Ministry of Education and Culture, Research and Technology. With the current independent campus program, almost all universities open up opportunities for students to register. However, because there are too many students who register, the campus has difficulty in choosing some students who can be accepted according to the criteria set by the party. For this reason, a Decision Support System is needed that applies the MAUT method along with the use of ROC to produce the best preference value. The calculation of several data samples resulted in the best final utility value in the selection of independent campus student exchanges in Alternative A2 with the best final utility value of 0.9700

Penerapan Metode Maut Dengan Pembobotan Entropy Dalam Sistem Pendukung Keputusan Penilaian Kinerja Guru Honor

The author examines the Smart Pure Vocational School, because the school has problems in assessing the performance of the best honorary teachers. Where the presence of a large number of teachers, of course, affects the speed of the assessment process and the accuracy in assessing the performance of the best honorary teachers. So the researchers created a decision support system that could assist the school in the process of evaluating honorary teacher performance. In a decision support system that is carried out using the MAUT method with Entropy weighting, where Entopy weighting is used to determine the criterion weight value of each predetermined criterion while the MAUT method is used to produce ranking results based on the alternatives and criteria that have been determined. So the results obtained from the decision support system that has been built using the MAUT calculation method with Entropy weighting, are very aimed at facilitating the Smart Pure Vocational School in the process of evaluating the performance of the best honorary teachers objectively, quickly and precisely. So as to produce results with a value of 0.9611 from alternative A12 on behalf of Siti Maimunah.

Penerapan Metode MAUT dalam Penentuan Karyawan Berprestasi dengan Pembobotan ROC

PT. Gruti Lestari Pratama Mandailing Natal is part of the Mujur Group which was founded on May 1, 1996 with a head office in Medan and oil palm plantations and a palm oil mill located in Mandailing Natal, North Sumatra. In an effort to improve the performance of the employees, PT. Gruti Lestari Pratama Mandailing Natal determines the outstanding employees every year. The purpose of determining outstanding employees is to improve the performance of each employee which can support the progress of the company. In determining outstanding employees, PT. Gruti Lestari Pratama Mandailing Natal evaluates only one assessment, namely achievement, even though there are several other criteria that can be used as criteria for determining outstanding employees such as discipline, responsibility, achievement, cooperation, attendance and letters of reprimand. Some of these criteria will be a more effective assessment of the previous assessment of the determination of outstanding employees at PT. Gruti Lestari Pratama Mandailing Natal. In determining outstanding employees, a decision support system (SPK) is needed. SPK in this study uses the MAUT method with ROC weights. The result of the best alternative decision is the A9 alternative on behalf of "Riswandi" with a value of U_i = 0.785 which was selected as an outstanding employee at PT. Gruti Lestari Pratama Mandailing Christmas.

MAUT method – one in a multiple criteria decision-making methods

Multiple criteria decision-making methods enable to choose the optimal decision, if his criterions is contradictorys. In herein paper is describe MAUT – multiattribute utility theory. This method is reasoned in theory. MAUT up for indeterminations situations, but can to use for determinations situations. In this method multiple criteria problem solvable with the help of unitary utility functions.

Analisa Perbandingan Metode MAUT dan Metode TOPSIS Dengan Menggunakan Pembobotan ROC Dalam Sistem Pendukung Keputusan Pemilihan Calon Kepala Desa

This study aims to carry out a comparative analysis process between the MAUT method and the TOPSIS method using ROC weighting. The MAUT method functions to deal with problems in decision making that link several interrelated attributes, in which the method combines the decision maker's preferences for the relevant attributes by giving a weight value to each attribute. Meanwhile, the TOPSIS method is used to select the best alternative from the many choices based on their relative distances from the ideal solution. In this study, weighting using the ROC method is used to objectively determine attribute weight values. The results of the research conducted show that the MAUT Method and the TOPSIS Method with ROC weighting can give good results in determining village heads. The results of the ranking using the MAUT method are A4 with a value of 0.950. while the ranking results using the TOPSIS method are A4 with a value of 0.917.

Application of the MAUT Method to Determine Eligibility for Accredited School Libraries

Pentingnya keberadaan perpustakaan sekolah dalam sebuah pendidikan, maka dilakukan pengakreditasian perpustakaan sekolah yang bertujuan untuk meningkatkan kualitas perpustakaan, serta meningkatkan kegemaran membaca. Dinas Perpustakaan dan Kearsipan Kota Pekanbaru (DISPUSIP) dalam menentukan suatu perpustakaan sekolah yang layak untuk diakreditasi masih dilakukan dengan sistem manual. Untuk itu diperlukan sistem pendukung keputusan (SPK). Adapun tujuan dari penelitian ini adalah membangun SPK untuk menentukan perpustakaan sekolah yang layak diakreditasi dengan menggunakan metode Multi Attribute Utility Theory (MAUT), dengan langkah-langkah membentuk matriks keputusan, normalisasi matriks keputusan, menentukan matriks utilitas, menghitung utilitas akhir, dan perangkingan. Alternatif yang digunakan adalah 9 sekolah jenjang SMP baik negeri maupun swasta. Kriteria yang digunakan mengacu pada instrument akreditasi perpustakaan sekolah terdiri dari 6 kriteria yaitu koleksi, sarana dan prasarana, pelayanan perpustakaan, tenaga perpustakaan, penyelenggaraan dan pengelolaan, dan penguatan. Hasil penelitian yang diperoleh dengan menggunakan metode MAUT adalah PS 4 (SMPN 27) dengan nilai 0,977; PS 5 (SMPIT Imam An-Nawawi) dengan nilai 0,873; dan PS 3 (SMPN 34) dengan nilai 0,861 merupakan tiga perpustakaan sekolah yang layak untuk diakreditasi.The importance of the existence of a school library in an education, the accreditation of the school library is carried out with the aim of improving the quality of the library, as well as increasing the love of reading. The Pekanbaru City Library and Archives Service (DISPUSIP) in determining a school library that is eligible for accreditation is still using a manual system. For that we need a decision support system (SPK). The purpose of this study is to build a SPK to determine which school libraries are eligible for accreditation using the Multi Attribute Utility Theory (MAUT) method, with the steps of forming a decision matrix, normalizing the decision matrix, determining the utility matrix, calculating the final utility, and ranking. The alternatives used were 9 junior high schools, both public and private. The criteria used refer to the school library accreditation instrument consisting of 6 criteria, namely collections, facilities and infrastructure, library services, library staff, administration and management, and strengthening. The research results obtained using the MAUT method were PS 4 (SMPN 27) with a value of 0.977; PS 5 (SMPIT Imam An-Nawawi) with a value of 0.873; and PS 3 (SMPN 34) with a value of 0.861 are three school libraries that are eligible for accreditation.

Decision Support System for Selection of Pesticides in Chili Plants Using the MAUT Method

Diseases in chili plants often cause farmers to experience crop failure. Diseases that are often encountered are leaf spot disease, wilt disease, and anthracnose disease caused by fungi. Therefore, farmers are trying to prevent and reduce the disease by using pesticides. The use of pesticides in agriculture plays a role in preventing and reducing diseases in chili plants. Pesticides for chili plants are quite widely spread on the market and have the advantages of each product offered to farmers, so farmers must be more careful and understanding in choosing pesticides to be used in preventing chili plant diseases. For that we need a decision support system (SPK). The purpose of this research is to apply the MAUT method in SPK which can help chili farmers in selecting pesticides. The data used in this study are 10 types of pesticides as an alternative. While the criteria consist of price, classification, number of diseases eradicated, method of action, shelf life, and formulation concentration. Data analysis uses the MAUT method with the steps of forming a decision matrix, normalizing the decision matrix, determining the utility matrix, calculating the final utility, and ranking. The research results obtained for the three best pesticides are Tridex 80 WP, Ziflo 76 WG, and Cabriotop 60 WG.

Avrupa’da Faaliyet Gösteren Havayolu İşletmelerinin Finansal Performans Analizi: CRITIC Temelli MAUT ve MARCOS Yöntemleri

This paper aims to measure the financial performance of 6 airline operators operating in Europe between the periods of 2019-2021. For performance measurement, 8 financial criteria were used: current ratio, cash ratio, financial leverage ratio, equity multiplier, asset turnover rate, equity turnover rate, return on equity and return on assets ratio. For the analysis of these criteria, the importance levels of the criteria related to the CRITIC method, one of the MCDM methods, were determined. At the same time, with the MAUT and MARCOS methods, the financial performance ranking of the airline enterprises was obtained according to the relevant years. According to the findings of the CRITIC method; It was determined that asset turnover rate in 2019 and financial leverage ratio criteria in 2020 and 2019 were the most important criteria. As a result of the MAUT method, it was concluded that the airline with the best financial performance in 2019, 2020 and 2021 was Air France. According to the findings of the MARCOS method, the airline with the highest financial performance in 2019 was Pegasus Airlines and in 2020 and 2021 it was determined as EasyJet.

Comparison of Selection for Employee Position Recommended MCDM-AHP, SMART and MAUT Method

In a company, employees are high-value assets, therefore it is necessary to select employees for the continuity of the company, of course, by getting quality human resources. The purpose of this paper is to refute the difference in the number of rankings in selecting the best employees through a comparison of the SMART and MAUT methods. Many methods can be used in the selection process. This article describes in detail about the selection of employee promotions using the MCDM-AHP collaboration method which is used to provide an assessment of the main criteria through eigenvector values ​​based on joint decisions by company leaders based on consistent and optimal questionnaire instrumentation which is not set based on percentages manually based on wishes leader. The SMART method is used to provide a sub-criteria assessment based on a balanced weighting utility according to the number of criteria used, with an assessment weight starting from zero as the lowest value and one as the highest value. The MAUT method will be used as a comparison against the results of the SMART method, where the MAUT method has differences in determining the weights on the sub-criteria based on the perception of understanding the criteria, so that they are arranged in an orderly manner and then determine the utility value of the criteria, so that there are similarities between the two methods. The ranking results obtained from the comparison of the two methods are that they have the same rating, so that the decision support taken also has similarities between the two SMART methods and the MAUT method. This can happen if the standard of measurement is carried out consistently through the MCDM-AHP method by not changing the assessment range in determining the interval range of each criterion.

Kombinasi Metode Multi-Attribute Utility Theory (MAUT) dan Rank Order Centroid (ROC) dalam Pemilihan Kegiatan Ekstrakulikuler

This study aims to select extracurricular activities using the MAUT method using ROC weighting, so that this helps in understanding the consequences of various choices and identifying alternatives that best suit the preferences and goals of decision makers. The results of the study using a combination of MAUT and ROC methods resulted in extracurricular activity recommendations obtained for Karate extracurricular activities with a value of 0.654 getting rank 1. 2nd place was obtained for Futsal extracurricular activities with a value of 0.362, 3rd place was obtained for Scouting extracurricular activities with a value of 0.327.

Penerapan Metode MAUT Dalam Sistem Pendukung Keputusan Pemberian Bantuan Jasa Pada Kelurahan

Aid is a program designed to help people who need it because they are in some kind of difficulty in ringing in their bebans. On this basis, a bantuan could consist of knowledge, a building, a piece of property, and even money or other benefits related to a previously granted jasa. Pengambilan keputusan adalah memilih a few available backup plans in order to accomplish one or a few previously set goals. According to McLeod, the keputus system is a particular system that is based on structure and uses data and a model.computer that produces a variety of alternative ideas for use by managers to assist them in handling a variety of problems that are poorly structured or not at allBased on the evaluation of alternative data and criteria using the Maut method, the model can be applied to four alternative data with the highest level of preferred outcome as shown below. : A7 Patience baringin manurung with a score of 0.733 A1 on behalf of Martumpal p hutajulu with a score of 0.465, A5 on behalf of pineeria simanungkalit with a score of 0.365, A3 on behalf of Janter lubis with a score of 0.344. So the MAUT (Multi Attribute Utility Theory) method can be used in solve the problem of selecting church officials who are eligible to receive merit assistance

Multi Attribute Utility Theory (MAUT) Method of Decision on The Selection of the Head of Study Program Digital Business

The head of the study program is the spearhead of success in a study program. So a head of a study program is required to have good leadership and management skills in order to be able to carry out his duties and functions correctly. The problem that arises is that the appointment of a head of a study program is often carried out not looking at some aspects or criteria, usually the appointment is subjective and based on how long he has been a lecturer in the study program. Even though the appointment of a study program head must be seen from many aspects and criteria, this is done because if you appoint a study program head who is not competent, it can result in not running well with the study program he leads. The criteria used in this research are Functional Position, Education, Working Period, Research, PKM Activities, Supporting Activities and Lecturer Achievement. To overcome this problem, a decision support system with the MAUT method is the right solution to use. The advantage of the MAUT method is that the calculation and decision-making process is faster because it can directly calculate the final evaluation value without the need to compare the importance weight values between criteria. This method will process the criteria values of each candidate so that the results will be more objective. In this study, the number of alternatives used was 6 data on the value of the prospective head of the study program. Based on the MAUT process, a decision was obtained that the chosen head of the digital business study program was a Candidate-01 lecturer with a value of 1.0.

SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA GURU MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT) DI SMA NEGERI 10 KOTA TERNATE

Implementing a quality education process is a must for every school, as is the case with SMA Negeri 10 Ternate City. SMA Negeri 10 Ternate City always encourages the improvement of teacher professionalism by monitoring the work of teachers in implementing their duties so that the predetermined competency standards can be achieved. SMA Negeri 10 Ternate City is still manual and not so detailed (detailed). With the assessment that is not detailed, it is feared that there will be a subjective assessment (based on personal interests), which can cause social jealousy for teachers who have not received achievements. To overcome these problems, a decision support system was designed using the Multi Attribute Utility Theory Method. As for in this study using 5 criteria. In this study, the application uses the PHP programming language, while the database uses MySQL. The final result of this study found that the decision support system with the MAUT method was able to overcome problems in assessing teacher performance.