Multi-Objective Optimization By Ratio Analysis Research Articles

Effects of sisal fiber and fly ash on the mechanical and tribological performances of brake friction composites

AbstractIndustrial development has led to an increase in demand for friction materials, resulting in increasingly prominent environmental issues throughout their entire life cycle, and developing green and eco‐friendly brake friction materials has become a focus in the braking field. This paper explores the mechanical and tribological properties of fly ash (industrial waste) and sisal fiber (natural fiber) as eco‐friendly components to enhance brake friction materials. Four samples containing different ratios of fly ash and sisal fiber were prepared and tested with a variable‐speed friction testing machine. The results show that the eco‐friendly alternative combination can effectively improve the friction coefficient, and reduce friction fluctuations and thermal degradation, but the wear rate will also increase accordingly. In addition, the worn morphology reveals the formation of the contact platform and wear mechanism. A hybrid integration of analytic hierarchy process (AHP) and multi‐objective optimization by ratio analysis (MOORA) was used to weigh various evaluation indicators objectively and rank the samples. The sample with 8% fly ash and 6% sisal fiber exhibited the best comprehensive tribological performance.Highlights Development of eco‐friendly brake friction composites with natural and waste additives. Investigation of the effect of the natural wastes' ratio on prepared composites' physical, mechanical, and tribological properties. Evaluation of brake friction composites with AHP‐MOORA. Sample S6F8 exhibits the best comprehensive tribological performance.

Sistem Rekomendasi Penerima Bantuan Program Indonesia Pintar Menggunakan Multi Criteria Decision Making

The government continues to strive to increase equality, equity and access to education through various programs, including the Smart Indonesia Program (PIP). Process PIP recipient students selection is quite complex process if carried out without adequate information technology support. This condition was also experienced by SMKN 6 Surakarta. The large number of students registering for PIP, and data processing that is still being done from piles of files are conditions that influence the slow PIP student selection committee performance. The committee must select, search and verify a lot of student data. Selection process requires a long time and a high level of accuracy so it is prone to errors caused by human error. In this research, a Decision Support System was created using the Analytical Hierarchy Process (AHP) method and the Multi-Objective Optimization by Ratio Analysis (MOORA) method. AHP method in this research aims to determine each criterion weight before the alternative ranking stage. The aim of using the MOORA method is to determine the ranking of alternatives after determining the weighting using AHP. The criteria used in this research are: Ownership of cards/letters, parents' income and number of siblings. Each criterion has sub-criteria and values that will be used in the AHP method calculations. From the results of the accuracy test by comparing data from 2020 to 2022, the accuracy results for 2020 were 94.4%, 95.5% for 2021 and 93.6% for 2022.

Morphological Characterization and Assessment of Genetic Variability, Character Association using MOORA Method

Morphological Characterization. Electron microscopy, optical Microscopy, scanning probe microscopic like microscopy (SPM). Morphology using techniques characterizations were carried out. Morphology of nonmaterial’s various used for study A comprehensive of microscopic techniques The explanation is given here.The shape of animals and plants and of biology dealing with structure A division the form of an organism and organization or its parts. Amphibian morphology. The internal structure of words and Segmentation into different types of morphemes Two basic objectives or Essential to Morphology: New Words Creating and. Already Change of words in. Therefore, morphology is body Physically recognizable letterforms Read, they are morphological characters are referred to as of an organism Specific elements are shape, size, color And so on. Morphology is structure A word that describes a characteristic. activity, Taxonomy, heredity, ecology, development and other branches of biology A basis for understanding Morphology gives us, therefore other A for us to read the branches Provides the site. Very simply Said morphological classification, Physiology to establish species boundaries Attributes (or roles) Uses similarity, same As well as interracial relationships uses. Characteristics may be characteristic. The multi-objective optimization by ratio analysis (MOORA) method is one of the MADM techniques. It is a group of qualities (prospective students). It is possible to calculate the worth of criteria, making this the ideal choice for decision-makers like prospective students. Days to flowering, Days to maturity, Plant height, Branches per plant, Pods per plant, Seeds per pod. Genotypic variance, Phenotypic variance, Grand mean, Heritability. From the result it is seen that Plant height is got the first rank where as is the Days to flowering is having the lowest rank. As a result, the plant height received the first rank, as well as the days to flowering received the lowest rank.

Decision Support System uses Multi-Objective Optimization By Ratio Analysis (MOORA) Method in Selection of the Best Herbal Medicine Supplier

Jamu is a traditional medicine made from natural cultural heritage that has been passed down from generation to generation for health. Mbak Sum UKM is a small and medium enterprise that operates in the field of medicines, namely herbal medicine, where this business provides various types of herbal medicine. This herbal medicine business is a business that can promise business opportunities. Because there is so much interest in this natural herbal concoction, it makes it difficult for companies to meet product availability. And this makes SMEs need many suppliers to meet product availability for Mbak Sum's SMEs. Therefore, a system is needed to help Mbak Sum's SMEs overcome the problems they face. The system that will help Mbak Sum's UKM is a decision support system in selecting quality suppliers which will later help in fulfilling herbal herbal products in Mbak Sum's UKM as well as in making reports of incoming products from suppliers to Mbak Sum's UKM. The system built to support supplier selection decisions uses the multi-objective optimization by ratio analysis (MOORA) method. The MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis) method is a multi-objective optimization technique that can be successfully applied to solve various types of complex decision-making problems in decision making. The results obtained were that the first rank was Alternative 3 with a value of 0.284 and the sixth rank was Alternative 6 with a value of 0.164. The calculation process can be concluded that A3 is the best alternative

A Multi-Objective Approach Optimizing Pharmacy Industry Decisions through MOORA Method

The pharmacy industry, a crucial pillar of the healthcare sector, encompasses the discovery, development, production, distribution, and sale of pharmaceutical drugs and medications. With an intricate interplay of scientific innovation, medical expertise, and commercial activities, this industry plays an indispensable role in safeguarding and improving human health. From the inception of groundbreaking drugs to their widespread distribution, the pharmacy industry integrates various stakeholders, including pharmaceutical companies, researchers, healthcare professionals, regulators, and consumers. It strives to address a wide spectrum of health conditions, from acute ailments to chronic diseases, by developing innovative treatments, generic medicines, and over-the-counter drugs. The pharmacy industry's evolution has been marked by technological advancements, research breakthroughs, and regulatory frameworks to ensure drug safety and efficacy. As the global population continues to grow and age, the industry faces the challenges of maintaining affordability, accessibility, and quality of medications. Furthermore, the pharmacy industry is a catalyst for economic growth, creating jobs, fostering research collaborations, and contributing to national and international healthcare systems. Its multifaceted nature, ranging from drug research to patient care, underscores its significance in the broader landscape of healthcare and public well-being. Research within the pharmacy industry holds immense significance due to its pivotal role in advancing medical knowledge and improving patient outcomes. Pharmaceutical research drives the development of new medications, innovative therapies, and treatment protocols, enhancing the efficacy and safety of drugs. It also uncovers insights into disease mechanisms, fostering a deeper understanding of health conditions. Furthermore, research guides regulatory decisions, ensuring drugs' quality, and promotes evidence-based medical practices. Through ongoing investigation, the pharmacy industry continually evolves, addressing emerging health challenges, optimizing drug utilization, and ultimately contributing to the overall enhancement of global healthcare standards. MOORA (Multi-Objective Optimization by Ratio Analysis) is a decision-making method used to evaluate and prioritize alternatives based on multiple conflicting criteria. It involves comparing alternatives' performance ratios against reference alternatives, considering both benefits and drawbacks. By assigning weights to criteria, MOORA quantifies their importance and ranks alternatives accordingly. This technique assists in complex decision scenarios where various factors must be balanced. MOORA's systematic approach aids in reaching well-informed decisions by quantifying trade-offs and providing a structured framework for considering multiple objectives simultaneously. Product Innovation, Market Share (%), Research Investment ($ billion), Patient Satisfaction, Drug Efficacy (%), Global Reach (countries). Pfizer, Johnson & Johnson, Roche, Novartis, GlaxoSmithKline, CVS Health, Walgreens Boots Alliance, Rite Aid.From the result it is seen that Novartisis got the first rank where as is the Rite Aidis having the lowest rank.

Evaluation of Ultraviolet Radiation using the MOORA Method

Ultraviolet Radiation. Non-ionizing radiation emitting manmade sources like the sun and tanning beds includes ultraviolet (UV) radiation. Although it can help humans produce vitamin D and has other advantages, it can also be harmful to their health. The sun is a natural source of UV radiation for us. In industrial processes, as well as in medical and dental procedures, ultraviolet light is frequently used for a variety of purposes, such as the destruction of bacteria, the production of fluorescent effects, the curing of inks and resins, phototherapy, and tanning. Different UV wavelengths and intensities are employed for diverse applications. Using a UV detector is the most secure method of detecting UV radiation. Inform the class that the beads they will be using contain a unique pigment that changes color when exposed to UV radiation. UV detectors are the name of these beads. The UV light around the school can be seen using these. UV radiation is necessary to the body because it promotes the production of vitamin D. In addition to being crucial for bone development, immune system health, and blood cell production, vitamin D increases the absorption of calcium and phosphorus from meals. The three key health benefits of UV light are vitamin D production, enhanced mood, and higher energy. Moderate UV light exposure is a good source of vitamin D. This vitamin helps regulate cell division, insulin synthesis, calcium metabolism, immunity, and blood pressure. History and exploration. Due to violet being the color of the highest frequencies of visible light, the word "ultraviolet" signifies "beyond violet" (Latin ultra, "beyond"). Compared to violet light, ultraviolet has a greater frequency and a shorter wavelength. UV radiation can produce erythema, sunburn, photodamage (photoaging), photosensitivity, eye damage, changes in the skin's immune system, and chemical hypersensitivity depending on the amount and kind of radiation and the type of skin of the individual exposed. -an s-in-the-service-retailer-in-reside-in-the-retail-d-in-star-re-in-main-retail-enterprise type of place. This one. Additionally, UV radiation is produced by sunlamps and tanning beds. The multi-objective optimization by ratio analysis (MOORA) method is one of the MADM techniques. It is a group of qualities (prospective students). It is possible to calculate the worth of criteria, making this the ideal choice for decision-makers like prospective students. Hospital inpatient care, Hospital ambulatory care, Primary health care, Pharmaceuticals, Mortality, Morbidity. Cutaneous Melanoma, Basal Cell Carcinoma, Melanoma in Situ, and Actinic Keratosis. From the result, it is seen that Morbidity got the first rank whereas Primary health care is having the lowest rank.

Application of the Multi-Objective Optimization By Ratio Analysis (MOORA) Method in the Chili Seed Selection System (Case Study of Asuli Village, East Luwu Towuti District)

Currently chili plants are plants that are needed by the community, these plants can be processed into cooking spices, the food industry and medicines. In East Luwu Regency chili plants are also the main commodity in agriculture, many farmers make chili plants as a business opportunity, but the production of chili plants in East Luwu Regency has decreased, this decrease in production is due to the lack of yields of chili farmers. So that the supply of chili is reduced and can not meet market demand. The lack of yields was caused by farmers using different types of chili seeds because farmers still had difficulty in determining the right type of chili seeds to develop which resulted in chili cultivation failing to harvest. For this reason, a system is needed that can assist farmers in determining chili seeds that are suitable for cultivation in Asuli Village, East Towuti Luwu District. The criteria used in determining the location of the business are harvest time, number of stalks, weight of chilies, altitude and longevity. This study aims to produce a decision support system in recommending the best chili seeds so that they can help farmers increase red chili production among farmers. The method used is the MOORA method, this method was chosen because this method is very simple, stable, and robust, even this method is able to determine goals from conflicting criteria, where criteria can be of beneficial or unfavorable value (cost). In addition, MOORA also has the ability to easily separate subjective elements from an evaluation process into weighted decision criteria that have several decision-making attributes. The results showed that Salo Dua chili seeds were suitable for cultivation in Asuli Village, East Luwu Towuti District

A decision support system for autonomous ship trajectory planning

This study presents an approach to enhance human–machine collaboration in autonomous ship trajectory planning. A decision support system is developed, considering crucial environmental factors such as ocean currents, wind, and tidal information, alongside the integration of narrow channel geometry, squat effect, and Under-keel-clearance (UKC). The Dynamic Consequence Analysis (DCA) risk assessment method is utilized to establish dynamic safety domains, incorporating ship maneuvering characteristics and potential failure scenarios. The Multi-objective Particle Swarm Optimization (MOPSO) algorithm is then employed to generate alternative trajectories, optimizing five objective functions: minimizing safety domain violation, consecutive speed changes, path length, deviation from the initial plan, and deviation from the initial estimated time of arrival. Furthermore, two Multi-criteria Decision Making (MCDM) methods, Multi-Objective Optimization by Ratio Analysis (MOORA) with user preferences, and the Entropy Weight Method (EWM) with automatic weight allocation, are employed to rank alternative solutions from the Pareto front. Finally, a clustering method is employed on the Pareto front solutions. The outcomes that serve as representatives for these clusters are then merged with the highest-rated alternative solutions from MCDM methods. This combined set forms the basis for the final decision-making process carried out by the operator. While dynamic obstacles are not considered in this study, evaluation across three scenarios demonstrates the effectiveness of the proposed decision support system for trajectory planning.

Land Suitability for Mustard Plants Using Multi-Objective Optimization by Ratio Analysis Method

Mustard can be developed or grown from a financial and business perspective to meet buyer demands and capture significant market opportunities. Mustard is a highly adaptable horticultural crop with a relatively short harvest time. This mustard offers many advantages for the farmer. For example, many farmers plant mustard in Samarinda, East Kalimantan, Indonesia. Despite being highly adaptable, some species of mustard greens do not thrive well in certain soils. Good soil is essential for optimal results when growing mustard greens. The planted mustard can be selected using decision support based on land criteria to get the best results. The purpose of this study is to recommend suitable mustard based on area requirements using a multi-objective optimization by ratio analysis (MOORA) approach. MOORA is a decision-making method that assists in choosing the best alternative from several options or alternatives based on several criteria or objectives. This observation used five criteria: Soil type, soil pH, precipitation, temperature, site elevation, and six mustard alternatives. Based on the trial land, the mustard recommended by the MOORA method is a Spoon Mustard or Pak Choy with a Yi value of 7.6698. So those chosen as mustard planted on the land are Spoon Mustard or Pak Choy. For further research, it is necessary to add or adjust new criteria and sensors in real-time that can be applied to increase efficiency in mustard towards smart farming that focuses on better results while maintaining the balance of nature.

Evaluating sustainability of urban mobility of Asian cities: An integrated approach of interval type-2 fuzzy best-worst method and MULTIMOORA

The motivation for sustainable urban mobility is driven by the need to create environmentally friendly, socially inclusive, economically viable, and healthier cities for current and future generations. It requires a comprehensive approach that combines infrastructure development, policy changes, behavioral shifts, and technological advancements to transform urban transportation systems. The importance of creating increasingly sustainable urban transportation is now greater than it has ever been. One of the attempts in this field is the sustainable urban transport index (SUTI) developed by the United Nations (UN). Although the SUTI has a comprehensive pool of criteria for the evaluation of mobility sustainability of cities, considering the criteria weights as equal and disregarding the uncertainties present in expert opinions is viewed as a significant drawback. To satisfy the aforementioned deficiency, a novel integrated approach including the best-worst method (BWM), multi-objective optimization by ratio analysis (MOORA) and MOORA plus full multiplicative form (MULTIMOORA) method is develloped and applied for the SUTI evaluation. In order to manage ambiguous linguistic approximations, the utilization of BWM is applied within the framework of interval type-2 fuzzy (IT2F) sets. While IT2F-BWM is used to prioritize the main and sub-indicators of SUTI, MULTIMOORA approach is applied to rank the Asian cities. The findings imply that the proposed approach not only provides a more scientific perspective but also provides the opportunity to perform sensitivity analysis on criteria weights. Therefore, the results obtained in this study are expected to help cities to create a road map for planning sustainable urban mobility (e.g. Sustainable Urban Mobility Plan).

Penyeleksian Beasiswa Berprestasi pada Universitas XYZ Menggunakan Metode MOORA

XYZ University has a scholarship program intended for outstanding students. Determination of recipients of outstanding scholarships is still constrained by the unclear system for determining scholarship recipients. This can affect the fairness of receiving scholarships. Students who really deserve to get a scholarship do not receive the scholarship. The solution to overcome this problem, the researcher came up with an idea in the form of a Multi-Objective Optimization by Ratio Analysis (MOORA) Decision Support System method, with the aim of being able to solve the problem of selecting an objective scholarship acceptance process. The MOORA method was chosen because it can solve the problem with a fairly effective method. After conducting research, it was found that 5 (five) candidates were eligible to receive scholarships for outstanding students, namely Alt7, Alt10, Alt37, Alt49, and Alt35. Furthermore, from the results of this study, it was concluded that students who get achievement scholarships are students with the highest scores from the results of the MOORA method, there is no element of subjectivity.

Vendor evaluation platform for acquisition of medical equipment based on multi-criteria decision-making approach

The purchase of medical equipment is a critical issue that should be planned properly. The selection of the most appropriate vendor impacts time, effort, and expenses. Therefore, the challenge is to strike a balance between the available budget and the required equipment. The study aims to select the best vendor for supplying medical equipment based on Emergency Care Research Institute (ECRI) standards. The multi-criteria decision-making approach has been adopted through three methods; Multi-Objective Optimization by Ratio Analysis (MOORA), Simple Additive Weighting (SAW), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The criteria of selection are divided into general, technical, and financial. The criteria are weighted using three methods: CRITIC, entropy, and expert judgment. The Vendor Evaluation Program for Medical Equipment (VEPME) is designed to automatically select the best vendor. Medical imaging equipment is selected to test the program by four modalities: X-ray equipment, CT, MRI, and ultrasound. The best scenario was given by the entropy-TOPSIS. As a result, this methodology was adopted by the program. The results demonstrate the robustness of the proposed methodology by comparing the VEPME output to expert judgment.

Decision Support System for Selection of Healthy Toddler using MOORA Method

Toddlers are the human stage after infancy, toddlers are one of the most important stages in the quality development of human growth. one way to develop health in toddlers is to carry out routine checks at Public Health Center. Public Health Center has not yet provided a system for selecting healthy toddlers and also requires a system for selecting healthy toddlers. Therefore a decision support system is needed to make decisions related to checking the health of toddlers. decision support system is part of a computer-based information system, which is used to make a decision, in making a decision support system the Multi Objective Optimization by Ratio Analysis (MOORA) method is used. Based on the calculations made regarding the decision to check the health of toddlers, the MOORA method uses weighting criteria and determines the type of criteria, and MOORA does not have sub-criteria weighting provisions using FMADM, FMADM weighting reduces ambiguity because the bigger the value, the better, but if the value is too large then it is not good, such as body weight. It is necessary to provide more sub-criteria so that the accuracy in ranking is better and more accurate with a scale of 0-5. The optimization value for A1 is obtained by adding the cells from A1 0.6765 + 1.0070 + 0.2626 + 0.1195 = 2.0656 and Alternatives A2, A3, A15 have the most optimal weight values ​​with optimization values ​​(2.3282).

Penerapan Metode MOORA dan Pembobotan ROC Dalam Pemilihan Alat KB

Family Planning (KB) is a family implementation to determine the number of births. The important thing in the success of this implementation is the use of contraceptives. Contraceptives are determined based on the effect on contraceptive users. The main factor of the problem is the absence of suitable contraception for all users. With these problems a Decision Support System (DSS) is needed to determine the appropriate contraceptive method for the user's condition. In selecting decisions using the Multi-Objective Optimization by Ratio Analysis (MOORA) method. The MOORA method is used because this method can determine decisions based on criteria in the level of efficiency and the selection process is accurate but has simplicity. The criteria needed at this selection stage are price, age, menstrual history, effectiveness, time period, history of childbirth and number of children. The results obtained from this study are that, the MOORA method can choose alternatives and rank when making recommendations for contraceptives that are suitable until they are as needed. Where the alternative pill (A5) is a contraceptive for couples of childbearing age that suits their needs. The highest Yi (Max) value is 0.2249

Penerapan Metode MOORA dan WASPAS dalam Keputusan Pemilihan Lokasi Usaha Laundry

The location of the Laundry business is a means of building a business, namely the place where the business is founded. Competition in this Laundry business causes many things to be considered in choosing a Laundry business location because if you don't choose the right location for a Laundry business, it can cause many losses such as bankruptcy for business owners. For this reason, business owners need foresight when setting up their Laundry business. To assist entrepreneurs in making decisions regarding the selection of a Laundry business location, there is a system that can be used, namely SPK. Decision Support Systems (DSS) are the steps or stages in finding a solution to a problem where the process is carried out using a solution according to how the computer works. There are 2 methods used in this study, namely the MOORA and WASPAS methods. The MOORA method is a method that can be used in the completion and completion process of the DSS. This method has a working procedure that uses mathematical calculations. While the WASPAS method is to find the priority of the most suitable location choice by using weighting. Where the results of research using the Multi-Objective Optimization by Ratio Analysis (MOORA) method, that which meets the criteria as the best Laundry business location is alternative A1, namely Jalan Setia Budi with a value of 0.2780 as the first rank. Meanwhile, based on the WASPAS method that meets the criteria as the best Laundry business location, alternative A7 is Jalan Gatot Subroto with a value of 0.8407 as the first rank.

Sistem Penunjang Keputusan (SPK) Pemilihan Supplier Terbaik Dengan Metode MOORA

In a company that the selection of the right supplier is an important factor in the success of a company. In the cement industry, selecting the right supplier can affect the quality of raw materials and ultimately affect the quality of the final product. Therefore, the Semen Padang company needs to select suppliers carefully and based on clear criteria. The MOORA (Multi-Objective Optimization by Ratio Analysis) method is a decision-making method that can be used to assist the Semen Padang company in choosing the best supplier. This method can be used to select suppliers based on certain criteria and assign a weight value to each criterion. In the MOORA method, this weight value is used to rank each supplier tested By implementing the MOORA method at Semen Padang companies, it is hoped that the company will be able to select suppliers more efficiently and accurately. This method can help companies evaluate supplier selection criteria and choose the supplier that best suits their needs. Thus, it can improve the quality of the final product and help Semen Padang companies achieve their business goals. Software or program, which is a set of instructions that allows hardware to be able to process data. UML is a standard language based on diagrams or drawings that aims to visualize, define and build models. Use Case Diagrams, Class Diagrams, Sequence Diagrams, and Activity Diagrams. PHP is a programming language used to translate program code base into machine code that can be understood by computers by adding HTML. PHP is known as a scripting language, which integrates with HTML tags, is executed on the server, and is used to create dynamic web pages such as Active Server Pages or Java Server Pages. PHP Hypertext Preprocessor is a multifunctional open source script that is very suitable for developing a website.

Sensitivity analysis of the SMARTER and MOORA methods in decision making of achieving students

Evaluation of student learning in Islamic boarding schools is still limited to the results of exams conducted in writing which can lead to the determination of student achievement using simple criteria, resulting in less than optimal results. In addition, the importance of selecting criteria to suit the learning characteristics of the Islamic boarding school students. The purpose of this study is to assist the process of evaluating student learning based on the value of the criteria, sub-criteria, and priorities. The method used is Rank Order Centroid in assigning weight values ​​to the criteria applied to the Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER) and Multi-Objective Optimization By Ratio Analysis (MOORA) methods. This study produces the same alternative value in the first rank. To calculate the accuracy is done by using sensitivity analysis according to the results of preference values ​​in each method. Based on the sensitivity analysis shows that in the first sensitivity calculation the lowest value is obtained. The sensitivity value of the SMARTER method on the first sensitivity is 0.0714. While the first sensitivity value of the MOORA method is 0.0076. So the best method is owned by the MOORA method because it has the lowest sensitivity value.

Decision Support System In Land Selection For Rubber Tree Planting Using The Moora Method

Decision support system in the selection of land for rubber tree planting in order to minimize time and help PT. GERGAS UTAMA to determine quality land so as to increase rubber productivity. This method also has a good level of selectivity because it can determine the purpose of conflicting criteria. Where the criteria can be profitable (benefit) or unfavorable (cost). The selection of the right rubber area will certainly affect the production of rubber plants. In the process of selecting the right rubber area, of course, there are several criteria that will determine whether or not a land is suitable for producing rubber plantations such as temperature, rainfall, drainage, soil texture and so on. PT Gergas Utama has difficulty in the process of selecting this land because the selection process is still done manually which of course will take longer so that it becomes ineffective and affects the productivity of the rubber plant.Based on the description above, it is necessary to build a decision support system in the selection of land for rubber tree planting in order to minimize time and help PT Gergas Utama to determine quality land so as to increase rubber productivity. In the development of this decision support system, the MOORA (Multi-Objective Optimization by Ratio Analysis) method is used, which is a method that 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. The program used in the development of the Decision Support System is PHP for a web-based system and MySQL as a database management system. The results ofthis program indicate that the Decision Support System for the selection of land for planting rubber trees can be utilized by PT. GERGAS UTAMA is the rubber plantation sector in selecting the best land for planting. The results of the ranking calculation from the MOORA (Multi-Objective Optimization by Ratio Analysis) method from a total of 10 rubber land planting locations with a value of 0.369, the result of the sum of the criteria weights being the highest. the best has the highest value of 0.369.

A novel and prediction approach of sheep wool reinforced polyester composites: Surface qualities and hybrid modeling

AbstractThis research aims to describe the hybrid algorithm's effectiveness in predicting and optimizing the abrasive water jet machining (AWJM) parameter on flexible sheep wool reinforced polyester composites. Selected five parameters are transverse speed (TS), water jet pressure (WJP), nozzle stand‐off distance (NSoD), reinforcement weight percentage (wt%) and abrasive size (AS). In contrast, Surface Roughness (Ra) and Kerf Angle (Ka) are output performances. Multi objective optimization by ratio analysis (MOORA) is a tool is used for selecting and optimizing control variables. The most influential control variables are AS, WJP, TS, wt%, and NSoD, according to MOORA–Entropy feature selection results. The support vector machine algorithm (SVM) represents the AWJM process, and the model's performance is compared to SVM hybrid models. The differential evolutionary (DE) algorithm and the Entropy idea create a hybrid model. An SVM model is compared with the Hybrid SVM—Entropy model; hybrid improves prediction performance by 21.6%. When the MOORA—SVM—Entropy hybrid model is compared to the SVM model, it is revealed that the MOORA—SVM—Entropy hybrid model's prediction performance improves by 38.7%. According to the MOORA—Entropy approach, the optimal control variables are A2, B1, C1, D3, and E1.

An Integrated Multi-Criteria Decision-Making Model for Cloud Service Provider Selection

In the present scenario, it is inevitable for organizations to use the services offered through the cloud. As there are numerous cloud service providers, the users have a vast number of choices to get the desired service. For the long term success of any organization, it is important to choose the right cloud service provider. This paper focuses on proposing a new framework to select the best cloud service provider. While selecting the best service provider, using an appropriate method for finding out the weight of each criterion is very important as it directly impacts the ranking of candidate service providers. In this work, the Full Consistency Method (FUCOM) is employed for finding the weight of each criterion and Multi-Objective Optimization by Ratio Analysis (MOORA) is proposed for ranking the service provider. The integration of FUCOM with MOORA results in computing the reliable values of criteria weight and a simpler procedure for computing the overall score of the service provider. Hence a rational decision making is possible in selecting the best cloud service provider.