Decision Support System for the Most Chosen and Preferred Smartphone Using the MOORA Method

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

This study aims to compare the effectiveness of the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) and MOOSRA (Multi-objective Optimization on the Basis of Simple Ratio Analysis) methods in the context of selecting stylish hair at the barbershop. In the growing hair care industry, the selection of stylish hair does not only affect the appearance of the customer but also plays an important role in the image and success of the barbershop itself. Therefore, it is important for barbershop owners to choose the right stylish hair. The MOORA method is known for its ability to solve multi-objective decision-making problems by utilizing ratio analysis. Meanwhile, MOOSRA is another method that focuses on optimization by considering relative preferences. In the context of selecting stylish hair, both can be useful tools in guiding barbershop owners to choose stylish hair according to customer needs and preferences. This research involves collecting data regarding customer preferences and hair stylish characteristics from various barbershops. This data was then analyzed using the MOORA and MOOSRA methods to choose the most suitable hair style for each scenario. The results of the analysis will be compared to assess the relative performance of the two methods in this context. It is hoped that the results of this research will provide valuable insights for barbershop owners and the hair care industry in general. By understanding the advantages and limitations of each method, barbershop owners will be able to make more informed decisions in selecting stylish hair. In addition, this research can also contribute to the development of a methodology in more complex multi-objective decision-making, by providing concrete examples in practical applications. The final results of the calculations of the two methods are proven to produce the same highest ranking result, which is obtained by alternative 1 on behalf of Poppy Sukma.

Decision Support Systems (DSS) have become essential tools in the de-cision-making process across various fields. In the context of selecting the chairman of the Computer Engineering Student Association at Uni-versitas Borneo Tarakan, the use of DSS is also highly relevant and beneficial. The MOOSRA (Multi-Objective Optimization on the basis of Ratio Analysis) method has been chosen as the approach to implement this decision support system. This study aims to apply the MOOSRA method in the implementation of a web-based decision support system for the selection of prospective chairpersons of the Computer Engineer-ing Student Association at Universitas Borneo Tarakan. The MOOSRA method is utilized to consider several criteria, such as leadership skills, communication abilities, dedication, and organizational experience. In this research, the use of MOOSRA is combined with web technology to enhance the efficiency and quality of the candidate selection process. The MOOSRA method offers a structured and objective approach to evaluating candidates for the chairmanship. This approach involves ratio analysis and multi-objective optimization to produce better out-comes. The results of this study are expected to facilitate a fairer and more objective selection process, as well as to improve student satisfac-tion within the Computer Engineering Student Association at Universi-tas Borneo Tarakan.

The quality of the selection of research proposals and Community Service (PKM) of lecturers is an important element in supporting the implementation of the Tridarma of Higher Education. However, the selection process that is still carried out manually and tends to be subjective has the potential to cause bias in decision-making. This research aims to develop a decision support system that integrates the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) and Data Envelopment Analysis (DEA) methods to increase objectivity and efficiency in the selection process of research proposals and PKM lecturers at Rokania University. The MOORA method is used to determine a preference score based on the five main criteria for research proposals and six main criteria for PKM proposals, while the DEA method is utilized to evaluate the relative efficiency of each proposal based on the ratio between the MOORA score and the amount of funding submitted. The data used in this study was obtained from the results of the assessment of three reviewers on 14 research proposals and 11 PKM proposals. Each proposal is assessed based on criteria that have been determined by LPPM, then calculations are carried out using both methods. The results show that the combination of MOORA and DEA methods is able to produce more transparent and fair proposal rankings, as well as being able to identify the most efficient proposals in the use of the budget. This study concludes that the integration of MOORA and DEA methods in the lecturer proposal selection system is able to strengthen data-based research and PKM governance, as well as make a real contribution to more rational and measurable decision-making. This system also has the potential to be further developed to support the selection of external grants, recruitment of reviewers, or the allocation of research funds nationally. These findings can be replicated in other higher education institutions that face similar challenges.

Decision Support System (DSS) is a system with mathematical calculations that can assist a person in making decisions from various criteria, types, and options ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"ISSN":"03248569","abstract":"A new method is proposed for multi-objective optimization with discrete alternatives: MOORA (Multi-Objective Optimization on the basis of Ratio Analysis). This method refers to a matrix of responses of alternatives to objectives, to which ratios are applied. A well established other method for multi-objective optimization is used for comparison, namely the reference point method. Later on, it is demonstrated that this is the best choice among the different competing methods. In MOORA the set of ratios has the square roots of the sum of squared responses as denominators. These ratios, as dimensionless, seem to be the best choice among different ratios. These dimensionless ratios, situated between zero and one, are added in the case of maximization or subtracted in case of minimization. Finally, all alternatives are ranked, according to the obtained ratios. Eventually, to give more importance to an objective, an objective can be replaced by different sub-objectives or a coefficient of importance can be specified. An example on privatization in a transition economy illustrates the application of the method. If application is situated originally in a \"welfare\" economy, centered on production, MOORA becomes even more significant in a \"wellbeing economy\", where consumer sovereignty is assumed.","author":[{"dropping-particle":"","family":"Brauers","given":"Willem Karel M.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Zavadskas","given":"Edmundas Kazimieras","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Control and Cybernetics","id":"ITEM-1","issue":"2","issued":{"date-parts":[["2006"]]},"page":"445-469","title":"The MOORA method and its application to privatization in a transition economy","type":"article-journal","volume":"35"},"uris":["http://www.mendeley.com/documents/?uuid=d0f9ba0a-f4fa-450c-a7ea-28d2e27e455c"]}],"mendeley":{"formattedCitation":"[1]","plainTextFormattedCitation":"[1]","previouslyFormattedCitation":"[1]"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} [1] . The calculation is done accurately and according to the desired target. Institut Agama Kristen Negeri (IAKN) Tarutung is a state-owned religious higher education institution. In providing education, IAKN Tarutung provides several scholarships for outstanding students with economically disadvantaged students. One of them is the Kartu Indonesia Pintar (KIP) ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"author":[{"dropping-particle":"","family":"Tim Kementerian Pendidikan dan Kebudayaan Republik Indonesia","given":"","non-dropping-particle":"","parse-names":false,"suffix":""}],"id":"ITEM-1","issued":{"date-parts":[["2020"]]},"page":"1-12","title":"Kartu Indonesia Pintar Kuliah","type":"article-journal"},"uris":["http://www.mendeley.com/documents/?uuid=2da7ffb1-1287-43e8-90e6-85a23e54ba04"]}],"mendeley":{"formattedCitation":"[2]","plainTextFormattedCitation":"[2]","previouslyFormattedCitation":"[2]"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} [2] . The purpose of this research is to develop the MOORA method to assist in decision making in determining which participants are eligible for KIP scholarships. Development of the Multi-Objective Optimization Based on Ratio Analysis (MOORA) method is expected to provide the best alternative solutions that are right on target without any personal interest ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.20409/berj.2019.175","ISSN":"1309-2448","abstract":"The three main credit rating agencies, Standard and Poor's, Moody's and Fitch, use a combination of economic, social and political factors to determine the capacity and current and future debt obligation of countries. This study contributes to literature in two ways. The first one is comparison of results obtained by rating countries on various macroeconomic variables using credit scores given by the three main credit rating agencies and using the MOORA method. The second one is the determination of how optimistic or pessimistic country-based results the three main credit rating agencies yield according to their estimates by macroeconomic variables. Among the three rating agencies, Moody's make the most optimistic estimates in terms of its rating of countries. Moody's is followed by Standard and Poor's, and the credit rating agencies that make the most pessimistic estimates is observed to be Fitch.","author":[{"dropping-particle":"","family":"Deniz Basar","given":"Ozlem","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Guneren Genc","given":"Elif","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Business and Economics Research Journal","id":"ITEM-1","issue":"2","issued":{"date-parts":[["2019"]]},"page":"391-404","title":"Comparison of Country Ratings of Credit Rating Agencies with MOORA Method","type":"article-journal","volume":"10"},"uris":["http://www.mendeley.com/documents/?uuid=71bc81eb-e247-4023-8180-dfad110345c1"]}],"mendeley":{"formattedCitation":"[3]","plainTextFormattedCitation":"[3]","previouslyFormattedCitation":"[3]"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} [3] .

This study was conducted to provide decision recommendations in choosing a concentration of courses for students based on their academic performance. The problem in this research is how students can choose a course concentration for themselves based on the academic performance they have previously achieved. The selection of this concentration is calculated based on the prerequisite courses that have been previously determined for each concentration of courses using the MOORA (Multi-Objective Optimization on the Basis Of Ratio Analysis) method. Each prerequisite course is a criterion that is given a weighting using the Rank Sum weighting technique. The alternatives used in this study were 32 alternatives, all of which were students who had completed all prerequisite courses and would choose a concentration of courses in the coming semester. The results of the implementation of the MOORA method in a decision support system with Rank Sum weighting for each criterion obtained results of 18 students recommended in the Emerging Technology concentration and 14 students recommended in the Software Engineering concentration according to their academic performance. The results of the comparison between decision recommendations with the MOORA method and the questionnaire of concentration choices according to student interests showed a level of conformity of 59.38%. Thus, the decision support system with the MOORA method can provide recommendations for choosing a concentration of courses based on previously achieved academic performance.

Abstract
 In an organization or company, employees as Human Resources (HR) are seen as a person's ability to do work within the company, especially when viewed from the portion to help the company achieve its goals. One form of good Human Resources (HR) management is to provide training for employees in the company in order to improve the knowledge and skills of employees. PT Hinai Daiki as a company engaged in the export garment sector in Tasikmalaya conducts training in the form of sending apprentices abroad. Problems that occur So far, the determination of prospective overseas internships at this company is not as expected, because the selection is direct without using a decision support system, causing inaccurate assessments and not on target. This study aims to apply the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method in assisting the selection of employees who will be sent for internships abroad at PT Hinai Daiki. The MOORA method is used in the calculation process that produces output in the form of alternative employees who will be sent for internships abroad. The criteria used in this study include activeness in work, mastery of work, discipline, knowledge, teamwork, personality, mastery of language and health. Based on the research results, the MOORA method can be well applied to the decision support system for the selection of interns at PT Hinai Daiki.

The application of the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method in employee promotion decisions at PTPN 4 aims to enhance efficiency and objectivity in decision-making. This method allows managers to evaluate employees based on multiple criteria simultaneously, such as performance, experience, contributions, and other relevant factors. By considering these various aspects, MOORA helps make promotion decisions more transparent and fair. One of the primary advantages of applying the MOORA method is its ability to reduce bias that may occur during the promotion process. Bias can arise from subjectivity or imbalance in employee assessments, which are often based on individual judgments or personal perceptions. By using MOORA, promotion decisions are based on more objective and measurable data, making the process more systematic and structured. The MOORA method can also increase employee motivation. A transparent promotion process based on clear criteria provides employees with a strong incentive to continuously improve their performance. When employees know that promotions are based on fair evaluation, they are more motivated to work harder. This, in turn, will increase overall productivity and performance at PTPN 4. The implementation of MOORA at PTPN 4 also provides advantages in better human resource management. With the MOORA-based decision support system, managers can easily identify employees who have the best potential for promotion. This process involves several steps, such as data normalization, determining criteria weights, and calculating final values that reflect overall employee performance. The end result is the selection of employees who meet the qualifications and have outstanding performance for promotion, supporting the sustainable development of the organization.

The lack of knowledge and information regarding laptop specifications makes ordinary people who want to buy a laptop feel confused about determining which laptop suits their needs. As a tool that can be used to select a laptop, a decision support system is needed. In decision support systems there are several methods, one of which can be used is the MOORA method (Multi-Objective Optimization on the basis of Ratio Analysis). In this research, the author will raise a case to find the best alternative from predetermined criteria to determine comparisons by rating existing alternatives using the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis)method. Based on the relative performance scores, Asus Rog GL552JX (A9) obtained the highest score of 0.217 and ranked first. This was followed by Asus A455LD (A4) with a score of 0.21585 and second place, and Acer Aspire E5-551 (A2) with a score of 0.19785 and third place. Acer One 10 S100X (A10) received the lowest score of 0.1042 and ranked last. Thus, Asus Rog GL552JX (A9) can be considered as the best laptop based on the established criteria in this study.

The economy that is happening in Indonesia is not balanced because of the large economic disparity between one region and another, this can be seen clearly from the uneven income of the people and the poverty problems that occur in terms of clothing, food and shelter. The community has the right to get proper clothing, food and shelter for the sake of creating a prosperous society. If one of them is still not fulfilled, then prosperity will not be achieved. To realize this, the government has held various poverty reduction programs, one of which is in the form of social funds provided to the poor. Problems that often occur in determining the eligibility of receiving assistance. The assessment process of the beneficiary community in Tuhtuhan Village is not yet perfect, only covering the type of work, total income, number of dependents and age. This method of assessment is subjective, which can lead to social jealousy for those who do not accept it. From the above problems, it can be solved by utilizing computer technology to create a Decision Support System (DSS). One of them is by using the Moora method. The MOORA (Multi Objective Optimization on the Basis of Ratio Analysis) method is applied to solve many economic, managerial and construction problems. math formula calculations with exact results

The acceptance of new non-ASN candidates is a major problem in recruiting new employees, this happens because of the large number of new prospective employees who register and the number of vacancies that are inadequate, therefore research is carried out that aims to create a decision support system that can speed up the process of recruiting candidates. new employee. The methods used in this research are ARAS (Additive Ratio Assessment) and MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) methods. The selection of this method is able to filter out the most alternatives based on weighting and this method is able to choose goals based on different criteria, namely benefits and costs. The results obtained from the ARAS method are the calculation rankings from the comparison of alternative utility functions with the optimal utility function values, while the results obtained from the MOORA method are the calculation rankings of the maximum and minimum values. From this value, an alternative that meets the criteria through calculations using the ARAS and MOORA methods, the employee alternative chosen is Yuniar Pilakso Angkasa with a final result of 0.935 for the ARAS method and 0.163 for the MOORA method. The results of the Spearman Rank coefficient test obtained a value of 0.9357% for the ARAS method and 0.7428% for the MOORA method, meaning that the two methods have a strong correlation level and can be used in recruiting new non ASN employees.

In an increasingly competitive digital era, PT Soka Cipta Niaga is required to optimize its marketing strategy through marketplace platforms such as Shopee. One of the main challenges in carrying out a marketing strategy on Shopee is the selection of the right keywords, because it can affect product visibility and the effectiveness of advertising costs. This study aims to help the process by applying the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method in the decision support system. The MOORA method was chosen because it is able to evaluate various alternatives by objectively considering the criteria that are beneficial (benefit) and unprofitable (cost). The development of the system is carried out through structured stages using the waterfall approach, with the stages of needs analysis, design, implementation in the form of a dashboard looker studio, to the testing process using black box testing. Data were collected through observation, interviews, questionnaires, and literature studies. The result of this research is in the form of an interactive dashboard that not only displays keyword performance, but also provides the best keyword recommendations with three advanced groupings, namely prioritize and improve by 20%, maintain, and re-evaluate/reduce, based on the results of the MOORA method ranking. This system has been proven to provide more objective and consistent results compared to manual evaluations. Thus, this system can help PT Soka Cipta Niaga's digital marketing division in making decisions related to the selection of the best keywords more optimally.

Hotel is a company engaged in the field of services, which requires employees who have competencies in accordance with their fields. At present the existing employees are deemed to lack competency in accordance with their field of work. In order for employees to have competence according to their field of work, the hotel must carry out an acceptance assessment that requires certain criteria, such as education, foreign language acquisition, discipline, experience and others. One of the appropriate decision making methods for evaluating acceptance is the MOORA (Multi Objective Optimization on the basis of Ratio Analysis) method which is a multi-objective system that optimizes two or more conflicting criteria. The MOORA method has a degree of flexibility and ease of understanding in separating the subjective parts of an evaluation process into criteria, by determining the weights and attributes as decision making, the form of decision matrices and ranking. The criteria used in this study are height, experience, discipline, interviews, written tests, foreign languages, friendly, computer, software and medical checkups. To facilitate the assessment of acceptance, this system is applied based on Android, so that in addition to the hotel, prospective employees can also find out the results of the assessment. Based on the implementation of the system application, the use of the MOORA method for the hotel employee acceptance evaluation system can produce the right decision system, in accordance with the predetermined ranking, criteria and weight of the assessment

The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) is fundamentally reshaping industrial maintenance paradigms. This research presents a comprehensive framework for advanced predictive maintenance (PdM) that leverages IoT sensors for real-time condition monitoring and AI-driven analytics for intelligent failure forecasting. The study addresses the critical challenge of selecting the optimal predictive model from a set of alternatives, each with varying strengths in key performance indicators such as cost savings, uptime, failure rate, and implementation time. To navigate this multi-criteria decision-making problem objectively, this paper employs the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method. The MOORA technique provides a robust, mathematically sound mechanism to rank competing AI models based on their aggregate performance across both beneficial and non-beneficial criteria. Our analysis utilizes a real-world dataset simulating the operational parameters of industrial equipment. The findings demonstrate that the proposed IoT-AI-MOORA hybrid approach effectively identifies the most balanced and advantageous predictive maintenance model. The results indicate a clear ranking, with one model (Model E) emerging as superior, achieving the highest score due to its exceptional cost-saving potential and low failure rate. This work concludes that integrating systematic multi-criteria decision-making tools like MOORA with technical IoT and AI solutions is essential for organizations seeking to implement truly optimized, data-driven, and cost-effective predictive maintenance strategies.

This research raises the topic of decision support systems using the Moora method. Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) is a multi-objective system that optimizes two or more conflicting attributes simultaneously. This method is applied to solve problems with complex mathematical calculations. The MOORA method has a level of flexibility and ease of understanding in separating the subjective part of an evaluation process into decision weight criteria with several decision-making attributes. This method has a good level of selectivity because it can determine the objectives of conflicting criteria. Where the criteria can be beneficial (benefit) or not profitable (cost). The object of the research is Village-Owned Enterprises in Kampar Regency. In the research process using at least 5 measurement criteria that will be processed in order to obtain a decision. In the Moora method, there are several process steps that must be carried out, including the following:
 
 Determining the purpose of identifying the relevant evaluation attributes and inputting the criteria value in an alternative where the value will be processed and the result will be a decision.
 Create a MOORA Decision Matrix
 Matrix of Normalization Moora
 Calculating the value of MOORA's multi-objective optimization
 Determine the Rank Value from the results of the MOORA calculation
 
 The output of this research can be used as input for local governments in making decisions. The results of this study can certainly be a motivation for other BumDes who are not in the best ranking. The results of this study will be more complex when using more complex aspects of the assessment. convenience of interested parties to be able to find our articles.