Alternative A1 Research Articles

Penerapan Metode Multi-Objective Optimization on the Basic of Ratio Analysis (MOORA) dalam Keputusan Penerimaan Siswa Baru

This research was made so that the school can easily select new students who are running as students in a school. This selection is done based on the criteria that have been determined by the school. To solve this problem, a decision support system is needed using the Multi-Objective Optimization Method on The Basic of Ratio Analysis (MOORA). this method is also quite easy to use and the results are good by obtaining the best value of 0.2296 with alternative A1 and followed by alternative A5 with a preference value of 0.1383. So that the decision support system by applying the MOORA method can solve problems in the selection of new students who are accepted or declared graduated with a systematic and precise selection. The MOORA method can also be used in people who really need it

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.

Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework

Wind-photovoltaic-shared energy storage system can improve the utilization efficiency of renewable energy resources while reducing the idle rate of energy storage resources. Using the geographic information system (GIS) and the multi-criteria decision-making (MCDM) method, a two-stage evaluation model is first developed for site selection of wind-photovoltaic-shared energy storage projects. In the first stage, infeasible alternatives are ruled out due to veto identification. In the second stage, the fuzzy MCDM method is applied to further merit selection. Firstly, the comprehensive criteria system is built, and evaluation data is collected using probabilistic linguistic term sets (PLTSs) to ensure the comprehensiveness and scientificity of decision. Then, the new score function based on compromise theory are proposed. Thirdly, the criteria weights are calculated using the improved Decision-Making and Trial Evaluation Laboratory (DEMATEL) approach. Finally, the improved gained and lost dominance score (GLDS) method is used to rank alternatives. To test model's feasibility, an empirical study is conducted in Chifeng City. The alternative A1 appears to be extremely prominent in the results. The model's stability and reliability are demonstrated by sensitivity and comparative analysis. This study aids in the layout of wind-photovoltaic-shared energy storage projects and broadens the application scopes of GIS and MCDM method.

Penerapan Metode Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) Dalam Seleksi Siswa Unggulan Sekolah

This study aims to determine the superior students in a school based on the achievements of the students. To solve this problem, the writer uses the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) method. MOORA is a relatively simple method that can rank a number of alternatives by subtracting the previously weighted benefit and cost criteria. The results showed that the highest ranking value was found in alternative A1 with a result of 0.1906 and followed by alternative A2 with a result of 0.1901.

Sistem Pendukung Keputusan Penilaian Indeks Kinerja Sales Marketing Menerapkan Metode MOORA

PT. ALFA SCORPII is a company that works in the sale of YAMAHA brand motorcycles. In this case PT. ALFA SCORPII requires sales marketing to be able to introduce the company's products. Problems that are often faced by PT. ALFA SCORPII is not optimal in sales marketing work in terms of introducing company products. As a result, the company may experience a decrease in revenue. One way that companies need to be able to increase sales marketing even more is that a decision support system is needed using the MOORA method. The MOORA method is a method that has a level of flexibility and ease that can be understood in separating the subjective part of an evaluation into decision criteria and decision attributes. The MOORA method can make decisions with the resulting model to solve a problem. This method is used because it can take a decision that can assess the performance of sales marketing. If the sales marketing gets the best performance assessment, then the sales marketing will get a bonus from the company. From the results calculated on the Sales Marketing Performance Index assessment, the alternative result A1 with a value of 0.4272 on behalf of Budian Arifin was obtained

Penerapan Kombinasi Metode ROC dan TOPSIS Pemilihan Karyawan Terbaik Untuk Rekomendasi Promosi Jabatan

Position promotion is a transfer or promotion of an employee in a structure within the organizational structure who has the ability to know skills and a responsible attitude in accordance with qualifications based on standards that exist in a company itself with specific functions. In the process of selecting the best employees, for recommendation for promotion, a measurable decision support system is needed. As in the POLDASU HR BUREAU, which does not yet have a decision support system, which so far has recommended promotions at the North Sumatra Regional Police, there are still obstacles in the criteria for evaluating promotions, so does not rule out the possibility that decision making is done subjectively by only looking at certain aspects and requires a long time in making decisions. In general, the recommendation for promotion is given by each work unit, good assessments from superiors and employee performance in carrying out their duties. For this reason, it is necessary to assess data processing employees who can help companies make decisions related to promotion recommendations. There needs to be supporting criteria for using a decision support system. In this study applied a combination of ROC and TOPSIS methods. The weighting of each criterion is carried out by applying the ROC method, then followed by a ranking process that will select the best alternative from a number of alternatives using the TOPSIS method. The results of the Research Recommendations for Promotion of Positions that are appropriate for promotion are alternative A1 with a preference value of 1,497 on behalf of "Hendrik"

Smartphone Selection Recommendation System

Smartphone is a telecommunications tool that has the same capabilities as conventional telephones, where smartphones are much more practical and easy to carry anywhere. The brands smartphone offered have many models and specifications such as ram, rom, camera, processor and others. To make it easier for users to choose the type of smartphone, it takes a smartphone selection recommendation system to assist users in making a decision. In this study resulted in a smartphone selection recommendation system application that is designed to assist users in making decisions in choosing a smartphone. This system is designed with reference to the calculation results of the Simple Additive Weighting (SAW) method by considering several criteria used to search smartphones. From the results of calculations using the SAW method, the preference values ​​of V1 to V3 are determined where according to alternative data, V1 for alternative A1 with a value of 0.76, V2 for alternative A2 with a value of 0.77, and V3 for alternative A3 with a value of 0.85. So that the largest ranking value is obtained, namely V3 with a value of 0.85. So alternative V3 is the alternative that was chosen as the best alternative.

Penerapan Metode Simple Additive Weighting (SAW) Dalam Sistem Penunjang Keputusan Untuk Menentukan Tempat Prakerin

Industrial Work Practice (PRAKERIN) is a way of providing vocational education and training, especially in Vocational High Schools (SMK). SMK Negeri 6 Tangerang Regency is one of the vocational high schools that carry out internship activities for its students. Choosing the right place for students to take part in PRACTICES is a good step so that the criteria needed by the school can be met properly. Simple Additive Weighting (SAW) is a method to support decision-making. Based on the results of data analysis, the recommended order of prakerin places was obtained with the final results obtained where there were three (3) largest values that became a reference place for students of SMK Negeri 6 Tangerang Regency, namely alternative A1 (Ahass Abdi Jaya), A2 (Ahass Ardian 4), and A20 (Ardian II) with a final score of 8. So the school will find it easy to determine the place for internships for students.

Analisa Penerapan Metode Multi Attribute Utility Theory (MAUT) dengan Pembobotan Rank Order Centroid (ROC) Dalam Pemilihan Lokasi Strategis Coffeshop Milenial di Era New Normal

Covid-19 is a type of Coronavirus that attacks and infects the human respiratory system. The Covid-19 pandemic has also hit Southeast Asia, including Indonesia. The impact of the pandemic has been felt by the Indonesian people, such as the weakening of the cultural, educational and economic sectors. Especially in the economic sector, Millennial Coffeshop owners are trying to get up in this New Normal era. However, the difficulty of choosing the right and strategic business location poses a serious problem for business owners. Therefore, a solution is needed in the form of an SPK that applies the MAUT method along with the use of ROC to generate weight values. The calculation of several data samples produces the best final utility value in determining the strategic location of the Millennial Coffeeshop, which is located in alternative A1 with the best final utility value of 0.8054.

Sistem Pendukung Keputusan Pemberian Uang Pertanggungan Terhadap Claimer Asuransi Kesehatan Menggunakan Metode SAW

DSS can provide interactive tools that allow decision makers to perform various analyzes of the available models. There are several methods used in DSS and one of them is the Simple Additive Weighting (SAW) method. The criteria used in determining the sum insured are length of stay, accidents and medical expenses. The application system can only provide recommendations for the provision of sum assured for health insurance claims at PT. Jasindo Health Care. The formulation of the research problem is to apply the Simple Additive Weighting (SAW) method in determining the award of sum insured to health insurance claimers using the PHP programming language, database, mysql. The calculation results show that Alternative A1 has the highest V value, namely V1 = 100, so alternative A1 is the most entitled to receive the sum insured against health insurance claimers at Jasindo Health Care.

Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods.

Disposal of healthcare waste is a key issue of environmental sustainability in the world. The amount of healthcare waste is increasing every day, and it is necessary to adequately dispose of this kind of waste. There are various treatments for healthcare waste disposal, of which incineration of healthcare waste is one of the solutions. This paper suggests a model for selection of the type of incinerators that best solve the problem of healthcare waste in secondary healthcare institutions in Bosnia and Herzegovina. In the selection of incinerators, extended sustainability criteria were applied. Basic sustainability criteria: environmental, economic, and social criteria, were extended with the technical criterion. To assess which of the incinerators best meets the needs for healthcare waste collection, multi-criteria decision-making was used. For this purpose, a combination of two MCDA methods was applied in this paper, namely full consistency method (FUCOM) and compromise ranking of alternatives from distance to ideal solution (CRADIS). The FUCOM method was applied to determine the weights of the criteria, while the CRADIS method was applied to rank the alternatives. The best alternative of the six alternatives used is A2 (I8-M50), followed by alternative A1 (I8-M40), while the worst ranked alternative is A5 (I8-M100). These results were confirmed by applying the other six methods of multi-criteria analysis and the performed sensitivity analysis. The contribution of this paper is reflected through a new method of multi-criteria analysis that was used to solve decision-making problems. This method has shown simplicity and flexibility in operation and can be used in all problems when it is necessary to make a multi-criteria selection of alternatives.

Selection of Operation and Maintenance Stategic Partner Using AHP-VIKOR Model

In order to increase CFSPP (Coal Fired Steam Power Plant) ABC actual EAF (Effective Availability Factor) from 76% in 2019 to designed EAF 85% by taking into consideration of investment funding hardship, PT.ABC initiate to select O&M (Operation and Maintenance) Strategic Partner, but it is not an easy decision and is associated with complexity. The purpose of this paper is to propose multi criteria decision making (MCDM) approach to effectively select the best partner out of 5 pre-selected partner candidates. The approach using AHP to calculate criteria weights, then VIKOR to get the final ranking result. The criteria and sub criteria define from experts’ discussion and literature review. Weights of 3 main criteria namely partner, collaboration and performance-oriented criteria are 0.113, 0.446 and 0.441. Alternative A1 is the first rank. There are 11 sub-criteria, with 3 biggest weights: 0.225 for project expectation, 0.162 for trust and 0.119 for technological capability. Project expectation and technological capability are from performance-oriented criteria while trust is part of collaboration-oriented criteria. This study can be useful for researchers to better understand of partner selection process and MCDM approach in theoritically, as well to companies in designing better partner selection system.

Analisa Penentuan Saham Terbaik Menggunakan Metode Analytic Hierarchy Process (AHP)

The number of stock investors has increased from the past to the present. Likewise, the number of companies listed on the Indonesia Stock Exchange (IDX). What makes investors confused about choosing the best stock from the hundreds of stocks that are regulated on the IDX. The method used for the best stock is the Analytic Hierarchy Process (AHP) method. Investors will enter criteria that take into account the specified criteria and criteria. The criteria used to determine stocks are C1 = PER, C2 = PBV, C3 = DER, C4 = ROE and C5 = ROA. The results of research conducted in the second rank show that alternative A1 = CPIN is in the first rank with a Priority Vector of 0.6536, alternative A2 = JFPA is in the second rank with a Priority Vector of 0.2013 and alternative A3 = UTAMA is in the second rank. second rank. second rank. second rank. ranked third with a Priority Vector of 0.1452.

Penerapan MOORA pada Evaluasi Kinerja dalam Mengefektifkan Biaya Operasional

Sales performance evaluation is a stage in conducting an examination and assessment of information seeking performance or work results of employees / workers in the sales field of a company, this is done in an effort to streamline the company's operational costs because a salesperson is the peak in the achievement and turnover of an operational cost. company, carried out by a salesperson where a salesperson certainly sells products produced by the company or organization with a predetermined sales level, so it is necessary to conduct an assessment or evaluation of sales performance in order to appoint and find out the quality level of sales performance, to reward good sales performance will increase motivation and enthusiasm for sales work achievement so as to be able to streamline operational costs, a systemized selection is made using the MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis) method. in measuring sales performance evaluation so that the implementation process is more structured and runs honestly and fairly. The results obtained in the study that alternative A1 is a sales that has the best performance with a value of 0.546616.

Geographic information big data-driven two-stage optimization model for location decision of hydrogen refueling stations: An empirical study in China

The promotion of hydrogen fuel cell vehicles (HFCVs) is an effective way to decarbonize the transportation industry. However, the shortage and difficulty in the layout of hydrogen refueling stations (HRSs) are the key obstacles to the HFCVs development. This paper constructs a two-stage location optimization model based on geographic information big data to provide technical support for the HRSs layout. The first stage is suitability analysis led by the geographic information system; the second is decision analysis based on the multi-criteria decision-making (MCDM) approach. First, the analysis elements and indicators used in the two-stage model are respectively given: including ten types of geographic information elements and six evaluation indicators. Then, the key steps and core algorithms of the two-stage model are introduced in detail. Thirdly, this paper takes the Weifang City of Shandong Province as the study area to carry out an empirical case to verify the model. The weight results show that traffic convenience is the key determinant of suitability (more than 25%); the economic development level and public acceptance of the alternative site area are the critical indicators in the decision-making stage (more than 25%). The model gives the suitability score for all available land in the study area. The suitability score is between 3.521 and 8.047 (10 points scale). Taking the median value of 5.784 as the threshold value, eight alternative sites are selected from the green areas suitable for layout based on the distribution of interest points, which are included in the planning for the next two years. The layout priority rankings show that alternative sites A1, A6, and A5 are ranked high. The reliability and uniqueness of the model are proved by comparative analysis. The results of sensitivity analysis and scenario analysis show that the sensitivity preference of decision-makers could significantly affect the priority ranking. The empirical study will provide effective reference and enlightenment for Shandong to develop hydrogen energy strategy.

A new intelligent MCDM model for HCW management: The integrated BWM–MABAC model based on D numbers

Healthcare waste (HCW) management is a complex and challenging problem. It is one of the priorities in health. An increase in the number of the health services provided leads to an increase in the amount of HCW, which has particularly been noticeable in recent years. Since this is the waste that may pose a risk to humans and the environment, it is necessary to ensure an adequate treatment of the same. HCW management is particularly important in developing countries, due to inappropriate disposal methods, underfunding and a lack of the infrastructure. In order to achieve the cost-effectiveness and sustainability of this area, HCW should be minimized through an adequate treatment of the same. The Public Enterprise Zdravstvo Brčko (Brčko Health System) has intensively been addressing the HCW management issue. They have decided to upgrade the HCW system by purchasing a new infectious waste treatment facility. The paper is aimed at creating a new original integrated multicriteria decision-making model based on D numbers for processing fuzzy linguistic information. This model will serve to support management in the procurement of the mentioned facility. The model integrates the benefits of different approaches and theories. An initial model was formed, consisting of the six potential solutions evaluated based on the 18 criteria classified into the following four groups: social, environmental, economic and technological. Four experts in this field evaluated the criteria and potential solutions. Then, a new Best-Worst Method based on D numbers (BWM-D) was applied in order to determine the significance of the criteria. After that, a Multi-Attributive Border Approximation Area Comparison Based on D numbers (MABAC-D) was developed and applied so as to evaluate and select an infectious waste treatment facility. The results have shown that the alternative A1 gives the best results, whereas the alternative A5 shows the worst results. Finally, a sensitivity analysis was performed to validate the obtained results. In this part of the paper, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS-D) and VIšekriterijumska Optimizacija Kompromisnog Rešenja (VIKOR-D) were developed in order to validate the results. When procuring a new Contagious Waste Treatment System, the characteristics of the available devices need be perceived and all the criteria need be taken into account in order to provide a device which will solve the HCW problem in the best way. This paper has shown how D numbers can be used when making a selection of an HCW management device, and also how all the characteristics of such a device can be perceived and how the device demonstrating the best characteristics can be selected.

Decision Support System Determining Computer Virus Protection Applications Using Simple Additive Weighting (SAW) Method

The use of information technology devices such as computers or laptops is currently increasing. The increased use is due to the fact that these devices are very supportive of our daily work activities. With the increasing use of these computers, data security on a computer or laptop device must be completely safe from virus attacks. To ward off viral attacks m aka requires the application of anti-virus to inhibit and prevent a variety of viruses that enter into the computer system so that the computer user's activity was not bothered by the many viruses are easily spread. Because there are too many antiviruses on the market, it is necessary to choose a good antivirus. One of the ways to choose antivirus is the existence of a decision support system . In this study, the Simple Additive Weighting (SAW) method was applied for the anti-virus application selection system. This data assessment analysis aims to produce the best anti - virus application options that computer users can use to secure their computer data. The criteria and weights used are K1 = application rating (5%) , K2 = completeness of features (30%) , K3 = price / official license (5%) , K4 = malware detection (45%) and K5 = blocking URL (15%). Of the 25 alternatives used, the results of the study, namely alternative A1 = Kaspersky anti-virus get the highest ranking result.

Sistem Pendukung Keputusan Pemilihan Topik Skripsi Program Studi Teknik Informatika Menggunakan Simple Additive Weighting (SAW)

The Department of Informatics at STMIK Pelita Nusantara is one of the departments at private universities that focuses on the science of information technology. Thesis problems in this department must also be resolved immediately, one of which is a system that utilizes information technology. It is difficult for students to determine the choice of thesis topic to be prepared as a graduation requirement. There are 7 criteria used, namely: Academic Value, Historical Project, Research Activeness, Training, Interests, Value of Practice and Research Place. Research data obtained from STMIK Pelita Nusantara applied the SAW (Simple Additive Weighting) method using Visual Basic Net 2010 with Mysql Database. From the ranking it shows that the highest result is alternative A1 where in this example the thesis topic chosen is Expert System.

Perbandingan Metode AHP dan Metode SAW Dalam Kelayakan Pemberian Kredit Motor

In this study, two methods were used to determine the feasibility of giving motorbike credit, namely the Analytical Hierarchy Process (AHP) and the Simple Additive Weighting (SAW) method to determine the weight of the accuracy value in the feasibility of granting motor loans. Results based on the Hierarchical Weighted Factor Matrix with AHP for all criteria normalized hierarchical weighting for all criteria with the elements in each column divided by the total number in the respective column, then you will get the normalized relative weight. The eigenvector value generated from the average relative weight value for each row shows that the most important criterion for customers who wish to apply for credit. Income with a weight of 0.649 or 64.9%, then followed by a family card with a weight of 0.088 or 8.8%, and domicile is 0.21 or 21%. Whereas the results based on ranking using the SAW method for all Kritera whose weighting is normalized is that the V1 ranking is the first rank because it has a value greater than the other values of 1.03 where V1 is the preference value of alternative A1, so that A1 in this case is Yogi Danuarta who be the best alternative or selected prospective customers to get motorbike loans.

Group Decision Support System for Business Place Establishment using Fuzzy SAW Borda

The economic development of a city is marked by the increasing number of established businesses. Inaccurate decision about business location can result in losses for the owner. To support proper decision making, various decision making methods have been developed. For example, by using Fuzzy, Analytical Hierarchy Process (AHP), Promethee, Simple Additive Weighting (SAW), Borda, and Hybrid (a combination of several methods). In this research, the author tries to solve the problem of decision making in determining business location, by designing a decision support system that uses a hybrid method approach, a combination of Fuzzy, Simple Additive Weighting (SAW), and Borda. There are 3 alternative locations (A1, A2, and A3), 5 decision makers, and 5 assessment criteria used, such as land eligibility (benefit), population density (benefit), traffic jam (benefit), completeness of files (benefit), and flood intensity (cost). The Decision Support System accepts input in the form of natural language/linguistic (very/quite/kinda/less) and converts it into a fuzzy membership value (range 0 to 1), processes it based on weight, cost, and benefit of existing criteria using Simple Additive Weighting (SAW), and combines the assessment results using Borda from 5 decision makers/business owners with their respective perceptions. So as to produce a final group decision. Where the final result obtained in the Borda method, that the alternative location A1 (A1 score is 6) gets the first priority to be business place establishment location, followed by A3 (A3 score is 5) in the second priority, and A2 (A2 score is 4) in the third priority/last.