Weighted Aggregated Sum Product Assessment Method Research Articles

Comparison of WASPAS and VIKOR methods to determine non-cash food assistance recipients

Non-cash food assistance or bantuan pangan non-tunai (BPNT) is a government program of the Republic of Indonesia by distributes food assistance in non-cash to beneficiary families. The process of distributing BPNT still needs to be done with the data and criteria set, because the existing BPNT distribution is considered not right on target. We need a method that can help provide an objective decision. One method that can be used in making decisions is the weighted aggregated sum product assessment (WASPAS) and Vlsekriterijumsko Koompromisno Rangiranje (VIKOR) methods. The results of the calculations from the two methods will then be chosen which is the best, by conducting sensitivity tests and accuracy tests. This study uses 100 sample data and 16 criteria. The sensitivity test results are 9.780678997% for the WASPAS method and -0.0759182% for the VIKOR method, while the results of the accuracy test show that both methods have the same level of accuracy, which is 80%. Based on the comparison of the sensitivity test and accuracy test of the two methods, the WASPAS method is considered more accurate in determining the recipients of the BPNT program because the WASPAS method has a higher sensitivity test value than the VIKOR method.

Improved q-Rung Orthopair Fuzzy WASPAS Method Based on Softmax Function and Frank operations for Investment Decision of Community Group-Buying Platform

The traditional WASPAS (Weighted Aggregated Sum Product ASsessment) method has attracted widely attention. Unfortunately, the decision-makers’ decision attitude or risk preference is ignored in the existing WASPAS methods. To overcome this shortcoming, this paper embedded expert’s decision attitude with risk preference into WASPAS method for solving multi-attribute group decision-making problems with q-rung orthopair fuzzy (q-ROF) information. We develop the q-ROF Frank softmax weighted averaging (q-ROFFSWA) and q-ROF Frank softmax weighted geometric (q-ROFFSWG) operators based on Frank operations and softmax function. The relevant properties and particular cases are explored, and the monotonicity of these operators’ score functions is analyzed. Then, the q-ROF multi-attribute group decision-making framework based on the improved WASPAS method is constructed. The weighted sum model and weighted product model in traditional WASPAS are replaced by the two proposed aggregation operators. The q-ROF distance measure is utilized to de fuzzy the performance values of alternatives. And a compromise function between optimistic and pessimistic decision attitudes with risk preferences is proposed. Lastly, the presented method is implemented in a real case of investment decision of community group-buying (CGB) platform, and sensitivity analysis and comparative study with existing methods are conducted to verify the practicality, robustness and effectiveness.

An integrated Fine-Kinney risk assessment model utilizing Fermatean fuzzy AHP-WASPAS for occupational hazards in the aquaculture sector

The multidisciplinary field of occupational health and safety (OHS) aims to identify, assess, and mitigating hazards that arise in the workplace or due to the execution of the work. The Fine-Kinney method is a quantitative risk assessment widely applied in many industries to identify, evaluate and prevent potential hazards. Despite the widespread usage of the classic Fine-Kinney approach in several research, its effectiveness in addressing the issue of objective risk appraisal among decision-makers is limited. Therefore, this study proposes a comprehensive occupational risk assessment framework that integrates the Fine-Kinney method with the analytical hierarchy process (AHP) and weighted aggregated sum product assessment (WASPAS) under the Fermatean fuzzy environment. The Fermatean fuzzy set (FFS) offers a more flexible solution in determining the uncertainty and vagueness of information, as it covers membership and non-membership degrees in a wider area compared to intuitionistic and Pythagorean fuzzy sets. The AHP approach is used to calculate the weightage of each Fine-Kinney risk parameter (probability (P), exposure (E), and consequence (C)), and WASPAS method is used to find the ranking of the hazards. In the proposed model, Fermatean fuzzy weighted geometric (FFWG) operator is used for aggregation of expert opinions. Finally, sensitivity and comparative analyses are also performed to further highlight the adaptability and efficiency of the proposed occupational health and safety risk assessment (OHSRA) model, and a case study analyzing occupational hazards for aquaculture operations is presented to demonstrate the model's rationality and feasibility.

Sistem Pendukung Keputusan dalam Pemilihan Jasa Kurir Terbaik Menggunakan Metode AHP-WASPAS

This research aims to develop a decision support system to assist in selecting the best courier service based on specific criteria. The applied method involves using the Analytical Hierarchy Process (AHP) combined with the Weighted Aggregated Sum Product Assessment (WASPAS) method to ensure accuracy in choosing the criteria for selecting the best courier service. The criteria used in this research for selecting a courier service include delivery cost, delivery speed, number of branches, and service quality. The AHP method is utilized to generate relative weight values for each criterion, while the WASPAS method is employed to calculate the final scores for courier services based on the predetermined weights. The research results provide recommendations for selecting the best courier service. System testing results indicate that the AHP and WASPAS methods can offer more accurate suggestions in courier service selection, leading to optimal outcomes

Hybrid Analysis of Road Service Level Determination Decision Support System

Traffic congestion on the highway is one of the problems often faced by road users, as on the highway traffic in the city of Padang often experiences congestion due to the growth of several highways that are relatively smaller than the growth of traffic volume, causing a decrease in road service levels. This study aimed to determine the level of road services in several traffic lanes in the city of Padang. Data analysis using Hybrid Decision Support System (HDSS) modeling by combining the Analytical Hierarchy Process (AHP) method with the Weighted Aggregated Sum Product Assessment (WASPAS) This method is included in the Multi-Criteria Decision Making (MCDM) group. The AHP method can consistently determine the weight value of each criterion, and the WASPAS method can analyze alternative data to obtain decision results by ranking with the Weighted Sum Model (WSM) and Weighted Product Model (WPM) processes. The ranking results show that there are three types of road services in the city of Padang, namely B, C, and D with an accuracy rate of 0.6947%, this the results of this study using HDSS modeling can provide a better analysis process.

Evaluating airports' Sustainable Development Goals by using multi-criteria decision making methodologies.

The recent growth of the aviation industry, which poses significant environmental challenges, has heightened the pressure on the sustainability of airports. Airport sustainability requires a holistic approach that encompasses economic, social, environmental, and operational aspects. In this regard, the United Nations' 17 Sustainable Development Goals (SDGs) Agenda provides a roadmap for the aviation industry. However, despite recognizing the importance of SDGs, aviation authorities and airports often fail to effectively integrate them into their activities and annual reports. This study aims to evaluate the significance of SDGs for airports and select the airport that prioritizes SDGs the most using Multi-Criteria Decision Making (MCDM) methodologies. This study introduces a novel approach that integrates Step-wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods, which are MCDM techniques, to enhance airport sustainability. The SWARA method is employed to evaluate and assign weights to the SDGs in the context of airports. SDG 8 holds the highest level of significance among the goals concerning airports, while SDG 14 falls outside the scope of airport sustainability aspects. Then, five international airports that have been designated as green airports by aviation authorities and assessment organizations are selected, and the optimal alternative is determined using the WASPAS method, considering the weights obtained through SWARA. Dallas/Fort Worth International Airport is the top choice due to its successful implementations and reports aligning with the SDGs.

Decision Support System for Selection of Internet Services Providers using the ROC and WASPAS Approach

Along with the growth of the internet service provider industry, selecting an Internet Service Provider (ISP) has become an important decision to ensure optimal internet access. However, with so many ISP options available, consumers often face difficulties in choosing the service that best suits their needs. The aim of this research is to produce a decision support system that can help users choose the ISP that best suits their needs and preferences using the ROC (Rank Order Centroid) approach as a weighting technique and the WASPAS (Weighted Aggregated Sum Product Assessment) approach to determine the best alternative. The ROC approach is used to obtain criteria weights based on the ranking order of the importance of the criteria. On the other hand, the WASPAS method is used to determine the best alternative through weighted addition and multiplication, producing a final value that reflects the extent to which each alternative meets the specified criteria. The outcomes of the case study reveal a ranking of alternatives from highest to lowest scores, as follows: First Media (A2) achieving 0.8629, Indihome (A3) at 0.8416, MyRepublic (A5) with 0.7954, Biznet (A1) scoring 0.7844, and Oxygen (A4) at 0.7469. The usability testing yields an average score of 89%, suggesting that the system is apt for utilization, as it aligns with the functionalities users are seeking.

Revealing The Advantages of the Best Cooking Oil Brand: A Case Study of Weighted Aggregated Sum Assessment (WASPAS) Method in Decision Support System

The purpose of this research is to implement the Weighted Aggregated Sum Product Assessment (WASPAS) method in determining the best cooking oil brand. The research method used is the Weighted Aggregated Sum Product Assessment (WASPAS) method with the stages of determining criteria, weights, and alternatives, creating a decision matrix, calculating the normalization value of the matrix and WASPAS weights in decision making Calculating the Qi value of normalization and weights makes ranking from the highest Qi value. From the research it is known that alternative A4 with the description Bimoli has the highest Qi value of 0.9162, so it is concluded that alternative A4 or Bimoli was chosen as the best cooking oil among the eight alternatives or other cooking oil brands. The result of this study is that the WASPAS method is able to recommend the selection of the best cooking oil for consumers.

Analisa Penerapan Metode WASPAS Dalam Sistem Pendukung Keputusan Penilaian Kinerja Checker Terbaik Pada Kereta Api

Performance assessment in a work environment involving monitoring and checking activities plays an important role in maintaining quality and efficiency. This study analyzes the application of the Weighted Aggregated Sum Product Assessment (WASPAS) method as part of the Decision Support System in the process of evaluating the performance of the best checkers. The WASPAS method is used to address the complexity of measuring checker performance by considering various relevant criteria. This article describes the steps for implementing the WASPAS method and its integration into a decision support system. The results of the analysis show that this approach can help improve accuracy and objectivity in performance appraisal, providing a strong basis for management to make informed decisions regarding the selection of the best checkers. In this study, checker performance data were collected and analyzed carefully. The results of the analysis provide insight into a more accurate and objective checker performance assessment. The integration of the WASPAS method into DSS helps managers or decision makers overcome subjectivity in the assessment process, as well as avoid potential bias that could affect the final result. From the results of the study, it can be concluded that the application of the WASPAS method in SPK can increase the validity and reliability of checker performance assessments. This approach allows managers to carry out a more comprehensive and balanced evaluation of every aspect of checker performance. However, careful selection of criterion weights and sensitivity to changes in weights is required to ensure optimal results. Thus, this study provides a more in-depth look at how the WASPAS method can be applied in the DSS context for assessing the performance of the best checkers. The implications can be felt in making decisions that are more informed and accurate in managing individual performance in the work environment. From the results of calculations that have been carried out from 7 alternative Checker data using the WASPAS Method, the best alternative, namely the fifth alternative with the name Riski Sudrajat, obtains the highest score, namely 0.939. Therefore the fifth alternative was chosen as the Checker with the best performance on the Railway.

Decision Support System for Selecting Inventory Applications Using the WASPAS and Rank Sum Methods

Inventory applications can help companies monitor, manage, and optimize their inventory. However, the large number of existing inventory applications makes it difficult for companies that want to use inventory applications to choose the right application. This is because to choose an inventory application that suits the company's needs, you have to know each application one by one, so it takes a long time and is difficult to make a choice. This research aims to develop a decision support system for selecting inventory applications by applying the WASPAS (Weighted Aggregated Sum Product Assessment) and Rank Sum approaches. The WASPAS method is used to combine the weights for each criterion and calculate the assessment results based on the product of the criteria values with the appropriate weights. Meanwhile, the Rank Sum weighting technique is used to assign weights or rankings to a number of elements or objects based on their level of importance. Based on the case studies that have been carried out, the results obtained for each alternative include: Zoho Inventory (A4) obtained a value of 0.8531; Onstok (A3) obtained a value of 0.8310; Sortly: Inventory Simplified (A2) obtained a value of 0.7735; BoxHero-Inventory Management (A5) obtained a value of 0.7680; and Shelfit-Inventory Management (A2) obtained a value of 0.6613. In usability testing, we got an average score of 91%, and we can say that the system is suitable for use.

Parametric optimization of dry-turning of Nickel-Chromoly steel with various cutting tool using WASPAS method

Many contemporary researchers have proposed the concept of dry machining, which has numerous benefits, ranging from the avoidance of adverse impacts on individuals as well as the ecosystem to the a number of cost cutting during machining, but it also has many disadvantages, such as an increase in the structural and thermal stresses of the tool. For the extent of cutting forces has a substantial effect on the creation of heat, toolwear, surface-finish, and the precision of the workpiece, determining cutting forces during machining operations can be one way to attain this and assess the machine-ability of a material. This study deals with cutting force investigation while dry turning AISI 4340 steel. Keeping the feed rate fixed and varying the spindle speed along with three different cutting inserts (PVD coated, uncoated, and CVD coated), the components of cutting force (thrust (Fx), feed (Fy), and cutting (Fz)) were investigated. The Weighted Aggregated Sum Product Assessment (WASPAS) technique combined with the Taguchi method was employed to minimise the cutting force and fetch the optimum result. ANOVA was performed to determine the most relevant variables influencing cutting force. Finally, convergence of the result with previous studies and a confirmation test were also done. It was found that CVD-coated cutting inserts induced minimum cutting force while turning AISI 4340 steel at low spindle speed.

DECISION SUPPORT SYSTEM IMPLEMENTATION IN DETERMINING STUDENTS TO RECEIVE BOS FUNDING USING THE WASPAS METHOD

Success in learning and learning activities at SMA Asy-Syafiiyah Medan, is not only influenced by teachers, but also by student aspects such as attendance, parental income, activity participation, achievement scores, and discipline. To obtain optimal results, the authors designed an application using the Weighted Aggregated Sum Product Assessment (WASPAS) method that can determine students who receive BOS funds. After calculating 5 times with predetermined criteria, Rizki Ridho Silalahi's final result was 0.9197. The system designed for receiving BOS Fund assistance at SMA Asy-Syafiiyah Medan has been tested by inputting criteria data and carrying out the calculation process using the WASPAS method.

Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik CV Family Computer Menggunakan Metode WASPAS Dengan Pembobotan ROC

The success and sustainability of a company greatly depend on the quality of its employees. However, in the competitive business world, selecting the best employees is not an easy task. To enhance efficiency and effectiveness in the employee selection process, many companies use a Decision Support System (DSS) as a tool. One of the methods used in the DSS is the Weighted Aggregated Sum Product Assessment (WASPAS) with the weighting method known as the Rank Order Centroid (ROC), due to the limitations and lack of precision in providing weighting values in the WASPAS method, the use of the ROC method is necessary in determining the weight values for criteria and subcriteria. Initially expressed as sentences, the criteria and subcriteria are transformed into numerical values based on the ROC calculation method. This article discusses the implementation of the DSS using the WASPAS method and ROC weighting in the selection of the best employees at CV Family Computer, a company in the information technology industry, this method combines weighting techniques with the ROC method and outlines the implementation steps in selecting the best employees at CV Family Computer. The results obtained after applying the ROC method are used to assign weights and determine the level of importance for each criterion. The WASPAS method is then applied to rank each alternative. Consequently, in this study of selecting the best employees, alternative A7, Danta Panjaitan, is identified with a value of 2.8857.

Recruitment of STMIK Kaputama Laboratory Assistant with the Waspas method

Decision Support System (DSS) is one of the approaches that can be used in the selection process for accepting laboratory assistants in a tertiary institution. DSS is often used to assist various decision-making processes within an organization. Through the various stages contained in the DSS, it is able to produce the output in the form of the best alternative from the various criteria that have been determined by the decision maker. There are various methods that can be used in relation to DSS, one of which is the Weighted Aggregated Sum Product Assessment (WASPAS). The Decision Support System can speed up the recruitment of new Laboratory assistants according to predetermined criteria when recruiting prospective Laboratory assistants at STMIK Kaputama. The STMIK Kaputama Laboratory is a computer laboratory that is used to support practicum courses at STMIK Kaputama. Each course has at least one assistant. The requirements for prospective laboratory assistants are that they must register and meet the criteria as potential assistants. The results of this study indicate that the proposed model can be used properly in carrying out the selection process for laboratory assistant recruitment. the WASPAS method is able to produce decisions in the form of the best alternative that can be used to assist decision-making parties. so that it can determine who is eligible to be accepted as a computer laboratory assistant at STMIK Kaputama.

Identifying the Best Strategies for Improving and Developing Sustainable Rain-Fed Agriculture: An Integrated SWOT-BWM-WASPAS Approach

The practice of rain-fed agriculture plays a vital role in both the economy and food security, yet it is subject to various challenges such as climate change and institutional barriers. This study employs the Strengths, Weaknesses, Opportunities, and Threats (SWOT) analyses, Best-Worst Method (BWM), and Weighted Aggregated Sum Product Assessment (WASPAS) integrated approach to identify the most effective strategies for improving and developing sustainable rain-fed agriculture in Mashhad, Iran. The SWOT analysis identifies the essential sub-factors for improving and developing sustainable rain-fed agriculture. Then, the BWM method is utilized to assign weights to each sub-factor. Finally, the WASPAS method is used to rank the 19 strategies that can help achieve sustainable rain-fed agriculture. The findings of this study reveal that the strategy of establishing an institutional framework to promote sustainable rain-fed agriculture (WT7) has received the highest score. On the other hand, strategies related to supporting policies at the farm level (ST2, WO3, WT2, WT1) were placed in the middle and final priorities. Thus, it is recommended that in the current context of rain-fed agriculture in Mashhad, policymakers prioritize institutional policies related to rain-fed agriculture over farm-level policies. This study proposes a comprehensive and systematic approach to enhance and promote sustainable rain-fed agriculture.

Decision Support System Determining Priority for Road Improvements to Support Sustainable Road Construction

Sustainable transportation is a reflection of the concept of sustainable development in the transportation sector. Sustainable roads protect and augment natural resources and the processes involved. The Department of Public Works, Spatial Planning and Land (PUPRP) of Parigi Moutong Regency is the part responsible for maintaining and repairing roads in Parigi Moutong Regency. The limited budget and the number of roads being managed make the process of determining the priority of road repairs not right on target. This study aims to assist the government in determining road improvement priorities. Therefore, a web-based decision support system for determining road repair priorities was developed. This system was developed using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The results of this study are applications that can help make decisions in determining road repair priorities using the WASPAS method. The results of testing the application using Black Box testing result that all system functions run well and in accordance with the initial design. Furthermore, testing the application using the Delone and McLean Model, the results are very good.

Multi-criteria decision making using weighted aggregated sum product assessment in corn seed selection system

Corn is one of the seven national strategic commodities developed by the government. The role of corn in the national industry is so great that the process of cross-breeding is often carried out in order to obtain superior varieties. Given the important role of corn in Indonesian agriculture, it is normal for corn seeds to be scattered in the market. For this reason, corn farmers or someone who wants to grow corn must be careful to choose the right corn seeds for their needs and what they want. This study aims to implement the Multi-Criteria Decision Making (MCDM) approach with Weighted Aggregated Sum Product Assessment (WASPAS) on a corn seed selection decision support system, in order to obtain the best alternative according to the needs of several alternatives and certain criteria. The WASPAS method is able to solve multi-criteria problems by optimizing the assessment for selecting the highest and lowest values to get the best alternative. The DSS developed is based on a website, with the main features including managing criteria and weight data, alternative data, conducting alternative assessments, calculating processes using the WASPAS method and displaying the best alternative in the form of ranking. In addition, the developed system produces valid WASPAS method calculations, because the results are in accordance with manual calculations. Based on the tests carried out with the black-box testing approach, it shows that the system built has been running well.

Decision support system to determine the best customer using weighted aggregated sum product assessment method

A business engaged in the sale of building materials and building tools. Customers are important assets that must be maintained properly, because each customer will bring profits that can keep the business running. To maintain customer loyalty, business owners provide an appreciation and appreciation for the best customers. However, determining the best customer is still difficult because the process of determining the best customer is still done manually and randomly. The number of customers is also an obstacle to the process of determining the best customer. The method used is weighted aggregated sum product assessment (WASPAS) to determine the best customer by looking at 5 criteria including: Total Spend, Visit Loyalty, Quantity of Shopping, Distance, Frequency of Complaints. This method was chosen because it can reduce errors - errors or optimize in estimation for the selection of the highest and lowest values. The best customers will be rewarded and appreciated by business owners. The result of this study is a Decision Support System to Determine the Best Customer Using the WASPAS Method. Questionnaire testing obtained user satisfaction results as much as 65% strongly agree, 25% agree, 10% sufficient and 0% disagree which shows that the system is in accordance with the needs and can be used.

A combined multi-criteria decision-making approach for the selection of carbon-based nanomaterials in phase change materials

Phase change materials (PCMs) provide renewable and sustainable energy by storing non-continuous renewable energy sources and enabling them to be used on demand. PCMs used in thermal energy storage must provide certain properties to efficiently charge and discharge energy when needed. Because of their unique properties, carbon-based nanomaterials are of interest in improving the properties of PCMs. There are critical parameters for the selection of carbon-based nanomaterials as a PCM additive. At this point, Multi-Criteria Decision Making (MCDM) methodology is very useful. In this study, Multi-Objective Optimization based on Ratio Analysis plus full multiplicative form (MULTIMOORA) and Weighted Aggregated Sum Product Assessment (WASPAS) as the MCDM methods were used for the rating of carbon-based additives in PCMs. Seven evaluation criteria were determined, namely melting point temperature change, latent heat change, thermal conductivity enhancement, leakage, greenhouse gas, cost, and agglomeration. The criterion weights were determined by objective and subjective methods, namely entropy and ranking methods, respectively. According to the results accomplished by the entropy method, the greenhouse gas was determined as the most important criterion, while the most important criterion according to the ranking was thermal conductivity. With each of these criteria weights, the alternatives were ranked by using MULTIMOORA and WASPAS methods. Expanded graphite was found to be the most suitable material to be added to PCMs according to MCDM results. In addition, a sensitivity analysis was carried out to see the effect of changes that may occur between the criteria determined to define each alternative, and according to the results of the sensitivity analysis, expanded graphite was found to be the best alternative.

Penerapan Metode Pembobotan ROC Dan Metode WASPAS Pada Sistem Pendukung Keputusan Seleksi Pemilihan Penerima Bantuan UKT

The impact of the Covid-19 pandemic that is felt by the community is the paralysis of all daily activities. As a result, the cessation of work for a long time causes the company's economy to cripple and results in many companies losing money and making Termination of Employment (PHK) for employees or employees. For the heads of families, the termination of employment (PHK) experienced, of course, has a fairly heavy impact. There are many bad impacts caused by Termination of Employment (PHK) such as not being able to continue education for children, especially in college due to not being able to pay tuition fees every semester. Therefore, to overcome this problem, the government created a Single Tuition Assistance (UKT) program. However, the UKT assistance provided by the government was not able to cover all the financing needs for students who were affected by the Covid-19 pandemic. Limiting quotas for recipients of Resident Tuition (UKT) assistance for Budi Darma University is a new problem, of course. Decision Support System is a computerized system on a computer that is used to support decision making in organizations. The Weighted Aggregated Sum Product Assessment (WASPAS) method is a combined method consisting of the WP method and the SAW method, the WASPAS method is expected to provide better results in helping to determine the decision support system. To support obtaining optimal and objective results, a weighting method is needed, namely the ROC method. Based on the above discussion, the research that will be carried out is to select students who receive Single Tuition (UKT) assistance. The results showed that the four alternatives with the highest preference scores received UKT assistance, namely A6, A5, A4, A3