Multi-objective Optimization On The Basis Of Ratio Analysis Method Research Articles

Evaluation of Health Systems Performance of OECD Countries Using MOORA Method

International comparison of health systems performance provides evidence to countries, policymakers and decision-makers. This study was conducted in order to rank and compare the health systems performance levels of the Organization for Economic Development and Cooperation (OECD) countries according to the determined health performance indicators. In the study, the data of the countries between the years of 2000–2017 were used and evaluated. The study consists of 36 member countries of the OECD. The data was analysed with the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method, which is one of the multi-criteria decision-making methods, allowing the comparison of the performance of health systems across countries is compared. As a result of the health system performance evaluations of OECD countries. As a result of the health system performance evaluations of OECD countries, it has been concluded that countries such as Switzerland, Germany and Sweden have a high level of health systems performance, and Mexico, Colombia and Turkey have a lower performance compared to other countries. It is expected that countries with lower health system performance levels due to health system structures, demographic characteristics, education levels and technological development levels can still develop by selecting alternative countries suitable for their purpose and adopting the policies and strategies of such countries to their own systems.

Decision Support System for Performance Assessment of Honoray Personnel Applying MABAC, MOORA, and ARAS Method with a Combination of ROC Weighthing

MABAC (Multi-Attributive Border Approximation area Comparison), ARAS (Additive Ratio Assessment), and MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) are decision support system methods employed for evaluating the performance of honorary staff. MABAC utilizes a multi-attribute border approximation area approach to measure the relative performance of honorary staff. ARAS assigns weights to competing attributes and produces assessment ratio values aiding in decision-making. Meanwhile, MOORA focuses on multi-objective optimization by considering ratio analysis. The combination of these three methods provides a holistic and comprehensive framework for assessing the performance of honorary staff, enabling decision-makers to effectively evaluate their contributions and achievements based on predefined criteria. This approach allows for the determination of relative rankings and the selection of honorary staff that best align with organizational needs

Combination of Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) in Determining the Best Cashier

MOORA (Multi-Objective Optimization by Ratio Analysis) method is one of the multi-criteria analysis techniques used for alternative selection based on several different criteria or objectives. In the context of selecting the best cashier, by using the MOORA method to select cashiers based on several relevant criteria. While Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) is a method used to assess the importance of criteria relative to each other in the context of multi-criteria analysis. This method helps in determining the weight of criteria used in multi-criteria decision making. The combination of MOORA and PIPRECIA will produce the best cashier selection based on the criteria used. The results of the best cashier assessment ranking using the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) and the Simplified Pivot Pairwise Relative Criteria Importance Assessment weighting method obtained results, namely for Rank 1 obtained by Rini Maya with a final value of 0.343.

The Implementation of MOORA method in the Selection of Direct Cash Aid Recipients

This research aims to implement the Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) algorithm as a Decision Support System for selecting recipients of Direct Cash Assistance in Cempaka Putih village, Gorontalo. With a dataset of 112 prospectus recipients, the study focuses on developing an efficient approach to assist the village head in the beneficiary selection process. By combining multi-objective optimization and ratio analysis, the MOORA algorithm objectively evaluates and ranks recipients based on eligibility and suitability. The findings demonstrate the effectiveness of MOORA in streamlining the selection process, ensuring transparency and optimizing resource allocation for those most in need. This research contributes to decision support systems by showcasing the practical application of MOORA, enhancing assistance distribution, and improving community welfare. The results show that Alternative A1 receives the highest ranking, which is 1, with a Yi value of 1.32. Therefore, Alternative A1 is recommended as the best candidate to receive direct cash assistance in the Cempaka Putih village. The method has the capability to rank the top 12 suitable candidates who are eligible to obtain direct cash aid. However, there are instances where certain Yi values match, resulting in the same ranking for those alternatives. This similarity necessitates further observation and analysis.

Decision Support System for Determining the Best Pesticide for Rice Plants Using the Moora Method

completed quickly and performed effectively and efficiently, especially in the agricultural sector. Pesticides are chemical or organic substances that farmers use to protect rice plants from pests , so farmers often have difficulty choosing pesticides that will be used to prevent rice pests. In fact, the large number of pesticide products on the market and their very different advantages make farmers confused in determining pesticide choices. The Harapan Jaya farmer group always provides counseling and training regarding the management of agricultural products, therefore the farmer group continues to maintain rice production to avoid pests and there is no shortage of rice plants at this time by using pesticide products on the market. Decision Support Systems (DSS) are systems that are able to provide problem solving abilities and communication abilities for problems with structured and unstructured conditions. The method in the decision support system is Multi Objective Optimization on the basis of Ratio Analysis (MOORA). The results obtained from this calculation method are Rodenticide with a value of 0.288 which is ranked first and the fifth rank is Insecticide with a value of 0.047. By implementing a decision support system using the MOORA method, it is hoped that it will help select interconnected outputs, because the decision results are based on criteria data in determining the best pesticide for rice plants

Komparasi Metode Maut dan Moora dalam Pemilihan Sunscreen untuk Kulit Menggunakan Pembobotan ROC

The skin is the outer layer of the human body that has various important functions. However, high sun exposure in Indonesia can cause damage to the skin due to ultraviolet rays. The use of sunscreen becomes important in preventing sunburn and skin cancer. Women with combination skin types often have difficulty choosing the right sunscreen. This study applies the Multi Attribute Utility Theory (MAUT) and Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) methods with the weighting of the Centroid Rank Order (ROC) method and the level of accuracy of MSE aims to produce decisions in choosing the right sunscreen for combination skin. At the methodology stage, data on criteria, sub-criteria, and alternatives are collected through observation and interviews. The criteria consist of 6 namely Benefit, Composition, Price, Vitamins, Side Effects, and Size. The ROC is used for weighting, while the MAUT and MOORA methods are used in the assessment and comparison of alternatives and MSE is used for the level of accuracy. The discoveries from this study hold the possibility to offer recommendations for choosing the best sunscreen for combination skin, namely A7 with the brand sunscreen Somethinc Comfort Correct for the MAUT method is 0.7134 and the MOORA method is 0.102. The results of the MSE calculation obtained a deviation value, namely the MOORA method with a value of 215.0091 better than the MAUT method of 207.4922. So that the MOORA method is the best method in choosing sunscreen for combination skin and aims to help people who are still having difficulty choosing the right sunscreen, so as to avoid mistakes in choosing inappropriate sunscreens that can have a negative impact on the skin

Financial accounting the role of Information Technology in accounting change Using MOORA (Multi-objective Optimization on the basis of Ratio Analysis) Method

financial accounting, Financial accounting is a financial related to business summary of transactions, analysis, and reporting related is a branch of accounting. Available for public use preparing financial statements this includes. Partners, suppliers, banks, employees, government agencies, business owners, and other partners decisions making such for purposes for those interested in getting information examples. Financial accounting local and international accounting managed by standards. Generally accepted accounting principles (gaap) in any jurisdiction for financial accounting used standard of guidelines framework. Accountants’ registration and summary and financial position in preparing reports standards that follow, traditions and the rules include. Financial accounting is a specific type of accounting this is from business activities actions that arise documenting for time, summarizing, and includes reporting. Such transactions balance sheet, income statement, and cash flow statement in preparing accounts, including outlined, they are the company's financial results during a period document. A fund public to the accountant and work in private sectors there may be opportunities. Finance accountant's duties a from the general accountant differentiated, he is a company or for himself rather than organization or work for himself or for himself doing. Financial accounting created accounting uses a set of standards. To be used by a financial accountant accounting standards are required the selection company will face regulatory and reporting depending on requirements. In india, indian chartered accountants accounting provided by the company ( icai ) standards used. These are substantially i.f.mr.s standards are based and agree. However, accounting and i.f.mr.s between certain principles there are some differences. Versatile with unique alternatives a new method for optimization is proposed MOORA (multi-objective based on ratio analysis optimization. This method is objective denotes the matrix of responses of the alternatives, however, proposing better policies, which rates are used. Well established. Multi-objective another method for optimization is used for comparison, reference point method. Then, various competition this proved to be the best choice among the methods. Accounting standards goodwill impairment, accounting standards segment reporting, Accounting standards FA principles in budgets/forecast, Performance measurement, Transfer pricing. Primary field of accounting, Ultimate purpose of accounting, Function of accounting, Domain of Convergence, Mode of convergence, Role of IT in convergence. From the result it is seen that Role of IT in convergence is got the first rank where as is the Primary field of accounting is having the lowest rank. Role of IT in convergence is ranked first and Primary field of accounting is ranked lowest.

The Analysis of Cyber security in Intelligent Transportation Systems Using Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method

Cyber security has become a critical concern in today's interconnected world, with the escalating frequency and sophistication of cyber threats. To effectively protect digital assets and sensitive information, organizations must adopt robust cybersecurity systems. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method has emerged as a promising approach for evaluating and improving cybersecurity systems.This research presents an innovative application of the MOORA method to enhance cybersecurity systems. The MOORA method is a Multi-Criteria Decision Analysis (MCDA) technique that enables decision-makers to rank alternatives based on multiple criteria, ultimately aiding in selecting the most suitable solution. In the context of cybersecurity, various evaluation criteria are considered, such as threat detection accuracy, incident response time, scalability, resource utilization, and cost-effectiveness.Through the integration of the MOORA method, this study offers a systematic and quantitative assessment of cybersecurity systems, addressing the limitations of traditional evaluation techniques that often overlook the complexity of cyber threats. By prioritizing the criteria most relevant to an organization's specific needs and risk profile, decision-makers can make informed choices about investing in the right cybersecurity measures.The practical implementation of the proposed MOORA-based cybersecurity system is demonstrated using real-world data from a diverse set of organizations. The results showcase the effectiveness of the method in guiding cybersecurity decision-making, leading to the identification of optimal solutions that strike the best balance between performance, cost, and resource allocation.The alternatives are A1 is Providing only essential information and continuing to use the service or product, A2 is Giving wrong or partially wrong information as personal data (misinformation), A3 is Closing the account, disposing of, or deactivating the smart device or application and A4 limiting the use of the application, financial institution, or device. The Evaluation parameters are C1 is Low trust in the firm, device, or application, C2 is Poor referrals or negative word-of-mouth from previous users about the service or app, C3 is Negative previous online experience, C4 is Being tech-savvy, experienced, and knowledgeable about recent trends in data privacy and cybersecurity, C5 is The firm or institution not meeting essential privacy and security expectations, such as privacy policies, notices (cookies), seals, etc and C6 is Perceiving that the benefits outweigh the risks of disclosing information.The final result is Limit the use of application, financial institution or device, etc (A4) is got first rank and Provision of strictly necessary Information and continue the use of service or product (A1) is got lowest rank.

E-Commerce Supply Chain Optimization with the MOORA Method and Certainty Factor

This study analyzes supply chain optimization on e-commerce platforms by applying the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) and Certainty Factor methods. The aim of this research is to gain in-depth insights into the relative performance of e-commerce platforms in the context of predefined criteria and sub-criteria. The research methodology consists of six stages, including data collection, selection of criteria and sub-criteria, application of Certainty Factor, selection of case studies, relative analysis using MOORA, and certainty level analysis using Certainty Factor. The results of the analysis show that these two methods provide valuable insights regarding the performance of e-commerce platforms. The MOORA method provides a relatively strong rating, while the Certainty Factor provides an additional dimension by considering the level of certainty regarding the factors that affect performance. From a comparison of the results of the two methods, platforms such as Tokopedia.com and Shopee consistently rank well in both analyses. The implication of this research is that the e-commerce platform has greater development potential in supply chain optimization efforts. Overall, the integration of the MOORA and Certainty Factor methods has succeeded in providing more detailed and comprehensive insights into supply chain optimization on e-commerce platforms. This research provides guidance for stakeholders in making more informed and directed decisions regarding supply chain optimization strategies in e-commerce platforms

Recruitment of TikTok Live Hosts for Selling Clothes Using the MOORA Method

Mistakes in recruiting Hosts for the business of selling clothes on TikTok live streaming can have a negative impact on business owners, because Host failure can cause the products offered not to sell to potential customers. To overcome this problem, a decision support system is needed as a support tool for clothing selling entrepreneurs in recruiting TikTok Live Hosts that are relevant and can contribute to the development of their business. In this study the authors used Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) for the TikTok Live Host recruitment process with 5 (five) alternatives and 5 assessment criteria in subjective decision making. The results of this study indicate that the alternative that gets the first ranking position and is recommended to be accepted as a TikTok Live Host is A5 (Rina) with a value of 0.2752. As for the ranking order of other alternatives, namely A1 (Janses) with a value of 0.2738 at rank 2, A3 (Aisyah) with a value of 0.2582 at rank 3, A4 (Kylen) with a value of 0.2460 at rank 4, and A2 (Delima) with a value of 0.2190 at rank 5.

Electric Vehicle Solar Charging Station Siting Study Based on GIS and Multi-Criteria Decision-Making: A Case Study of China

Electric vehicles (EVs) are one of the most practical solutions to the energy issue and environmental pollution. In recent years, EVs have developed rapidly, but are still limited by charging problems. The emergence of photovoltaic charging stations can solve the environmental pollution and charging problems. The location of charging stations is critical in the life cycle of electric vehicles. In this paper, a multiple-criteria decision-making (MCDM) method based on Geographic Information Technology (GIS) for optimal site selection is proposed. First, based on literature reading and expert interviews, a site selection index system was identified, including four aspects with a total of ten sub-criteria. Secondly, a spatial database of relevant evaluation criteria was established using GIS, and preliminary analysis was conducted. Then, the fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory method) is applied for assigning the criteria weights. Then, potential sites are ranked using the fuzzy MULTIMOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method. Then, the model was validated by siting the electric vehicle PV charging stations in Qingdao, and eight stations were identified in the preliminary selection stage, and the most suitable locations were finally selected through the MCDM stage. Finally, the reliability and validity of the model were further verified by comparative analysis and dual sensitivity analysis.

Sistem Pendukung Keputusan Rekomendasi Pembelian Perumahan Menerapkan Metode MOORA

Housing is a secondary need. For the selection of the right housing, it must be adjusted to the wishes of consumers. When selecting housing or determining where to live, consumers must look for brochures and visit housing sales sites, and do not choose housing at random just because friends or other people offer it, because this can cause regret because it is not in accordance with which are desired. To assist prospective buyers in making housing buying decisions, we need a decision support system that will assist prospective buyers in choosing the desired housing. In order to get the best results, we need a system that can help determine the house in such a way that consumers are satisfied. Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) is a method provided by SPK to facilitate housing selection because this method has good selectivity in determining different goals and criteria. After carrying out the calculations of the MOORA method, the final result is obtained which shows that the alternative with the highest Yi value is A1 with a Yi value of 0.282. In the second rank, there is alternative A2 with a Yi value of 0.277, while the third rank is occupied by alternative A5 with a Yi value of 0.263. Therefore, based on predetermined criteria, alternative house A1 can be considered as the best option.

The Weighted Product Method and the Multi-Objective Optimization on the Basis of Ratio Analysis Method for Determining the Best Customer


 The objective of this study is to compare the effectiveness of the Weighted Product (WP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods in determining the best customers. Onesnet, the case study service provider, provides discounts and rewards to eligible customers to support this objective. The problem addressed in this study is how to determine the most relevant method for selecting eligible customers for bonuses. To achieve this, sensitivity testing was conducted by altering the weights of each criterion in both methods and observing the percentage changes of the results. The Weighted Product method multiplies the rating of each connected attribute, which is raised to the appropriate attribute weight, to decide. Data for this study was collected through interviews and observations at Onesnet and processed using the Rank Order Centroid (ROC) method for weighting, and the WP and MOORA methods for evaluating and selecting a decision. The WP and MOORA methods produced different total values and rankings, but the modeling with either method can be used equally for selecting the best customers. While there was a 60% similarity in data between the two methods, the WP method is recommended over MOORA, as it prioritizes customers with high loyalty criteria as the best customers.

Penerapan Metode MOORA Dalam Pemilihan Bimbingan Belajar Terbaik

Tutoring is one of the most effective alternatives that can be used by parents who want to provide additional courses or tutoring to their children, bearing in mind that learning at school is less effective if it is only obtained at school, especially for students who wish to continue their tertiary education so students need additional tutoring. to deepen the material so that later you can pass the desired tertiary institution. Tutoring is one of the activities that involves teaching students so that they achieve maximum academic achievement or learning outcomes at the institution or place where they study. from the research on the Application of Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) in the Selection of the Best Tutoring, namely that it can make it easier for writers to solve complex problems by using a decision support system and the results of calculations applied by the writer which cannot be changed by anyone. because the results are absolute and real without any fraud in the calculation process using ROC (Rank Order Centroid) weighting which is useful for calculating the value of tutoring criteria effectively with the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method. Tutoring is a non-formal institute that has more effective and reliable teaching quality for the last 5 years. by implementing a decision support system using the MOORA method and ROC weighting can help provide accurate results in selecting the best tutoring. There are three criteria, namely Price, Installment Amount, Discount Type. The results of selecting the best tutoring using the MOORA method are A4 with a score of 11.7171 as rank 1 on behalf of the ASC institution.

COMPARISON OF SIMPLE ADITIVE WEIGHTING MEHOD WITH MULTI-OBJECTIVE OPTIMIZATION BY RATIO ANALYSIS

Abstract: One of the advantages of the MOORA method is its high flexibility and good selectivity. This is because MOORA is able to determine the goals of conflicting criteria, where the criteria can be profitable or unfavorable. While the advantage of the SAW method is that it can determine the weight value of each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives and the assessment will be more precise because it is based on the predetermined criteria and preference weights. Some of the weaknesses of the SAW method include, the data entered must be correct and precise, so as not to cause errors during the weighting and ranking of criteria, while the drawback of this MOORA method is that there must be a weight that is calculated to continue the calculation of the data which is then calculated on each criterion and range of criteria. This is what prompted the researchers to explore the research entitled "Comparison of the Simple Additive Weighting Method (SAW) with Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) in determining the best housing". This research activity plan is carried out in the Medan city area using data that has been published previously through national journals in Indonesia. The final result of the research is expected to be obtained by comparing the results of the two methods according to the decision support system data used, and the results of the research will be published on Sinta 4 accredited national journal articles or better.

IMPLEMENTASI METODE MOORA (MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS) DALAM PEMILIHAN PROGRAM STUDI DI PERGURUAN TINGGI KOTA SEMARANG

In determining the choice of the right study program and college to continue education for the community and high school or vocational high school students it is very important. There are factors that influence the selection process, namely interests, talents, costs, accreditation and the quality of existing teachers. By applying the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method, these factors can be used as criteria in determining the best available recommendations. Various stages of the MOORA calculation process as well as minimum and very simple calculations are implemented into the Decision Support System (DSS) so that the selection is faster and more precise. This study takes the variables of the study program of informatics engineering and information systems at private universities in the city of Semarang as an alternative choice. The results obtained from the calculation of the MOORA method in this study indicate alternative A9 as a recommendation for the best study program choice at universities in the city of Semarang.
 
 Abstract: In determining the choice of the right study program and college to continue education for the community and high school or vocational high school students it is very important. There are factors that influence the selection process, namely interests, talents, costs, accreditation and the quality of existing teachers. By applying the Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) method, these factors can be used as criteria in determining the best available recommendations. Various stages of the MOORA calculation process as well as minimum and very simple calculations are implemented into the Decision Support System (DSS) so that the selection is faster and more precise. This study takes the variables of the study program of informatics engineering and information systems at private universities in the city of Semarang as an alternative choice. The results obtained from the calculation of the MOORA method in this study indicate alternative A9 as a recommendation for the best study program choice at universities in the city of Semarang.

Penerapan Multi-Objective Optimization by Ratio Analysis (MOORA) Dalam Penyeleksian Kelayakan Nasabah Penerima Kredit

Rural Banks (BPR) play an important role in helping to solve financial problems for the community in providing credit, the bank must conduct careful research and calculations on customers. PT.BPR this bank has a difficult problem determining the amount of credit value desired by a customer. This is because assessing whether or not a customer is eligible to receive a credit score is not easy because it involves many factors that must be considered and analyzed properly. The Decision Support System is applied in this study as a system for selecting the eligibility of credit recipients. In determining the appropriate selection of credit recipients, they must meet criteria such as income, age, occupation, guarantee and number of dependents. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method which can generate preference values ​​from the first ranked alternative. So that the selection of the eligibility of credit recipients lies in alternative N3 on behalf of Nurhayati with a value of 0.22197.

ANALISIS NILAI MARKET JAMINAN PINJAMAN DENGAN METODE MOORA

Credit is the provision of loan money based on an agreement or loan agreement between the creditor and other parties. Credit is made after an agreement is reached between the bank or creditor and the debtor or credit recipient in which there are rights and obligations of each party. Usually banks or financial services are willing to provide loans if the debtor provides his assets as collateral or collateral to ensure the smooth running of his debt. The assessment of the guarantee or collateral must be carried out objectively and apply the precautionary principle. The estimated market value (market value) of the collateral must be based on real market data so as not to harm the creditor. To assist the lender in analyzing the market value of the collateral submitted by the debtor, the author uses the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method by using several criteria including the status of documents/collateral letters, asset allocation, road conditions, locations and several other factors. From the results of the analysis using the MOORA method on the market value of the collateral submitted by the debtor, there is a difference with the market value circulating in the community. The results of this analysis can also be used as a reference in making a decision whether or not the object of the collateral submitted is appropriate to the amount of the loan being submitted.

An application for the selection of steel sheet materials used in automotive construction with the MOORA method

The new generation of steel grades that can be used in automotive construction is increasing day by day and the material selection becomes very important both in the design and manufacturing processes due to the development in the materials. In this study, data on tensile strength, formability, load that weld joints can bear, fatigue stress, corrosion resistance and price criteria of high strength low alloy (HSLA), dual phase (DP), three phase (TRIP) and complex phase (CP) steel sheet materials used in the automotive industry were determined and a study was conducted for the material selection using the MOORA (Multi Objective Optimization on the Basis of Ratio Analysis) ratio approach. It was concluded that the selection of DP grade steel sheet material according to the MOORA ratio approach among the materials used in the study would be the optimum choice.

Penerapan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) Dalam Pemilihan Mekanik Terbaik Sepeda Motor

A mechanic is a person in charge of checking, maintaining, repairing, replacing spare parts according to the analysis of the Service Advisor (the person who serves and receives every customer or customer complaint) listed in the workshop work order, with reference to the standardization of work that has been set and most mechanics specialize in in certain areas such as auto mechanics, bicycle mechanics, motorcycle mechanics, boiler mechanics, general mechanics, air conditioning and freezing, aircraft mechanics, diesel engine mechanics. One of the existing methods in a decision support system is the MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis) method. The reason the author chose the MOORA method is because this method is very simple, stable, and powerful, even this method does not require an expert in mathematics to use it and requires simple mathematical calculations. In previous research, it is known that there is no selection of the best mechanic at company. With the use criteria used are troubleshooting (analyzing problems and repairing vehicles), years of service, attendance and letters of reprimand. With these criteria, it is expected to produce the best motorcycle mechanic decisions