Weighted Product Method Research Articles

Komparasi Multi Criteria Decision Making Method Penerimaan Bantuan Siswa Miskin

Poor Student Assistance (BSM) is government assistance in the form of a sum of cash that is given directly to students who come from poor families. BSM recipients are students who have been determined by the Ministry of Education and Culture (Kemdikbud) based on a predetermined mechanism. Assistance provided by the government to students from underprivileged families is not transparent so some BSM are not on target. In an effort to minimize target inaccuracies, a study was made with Multi Criteria Decision Making (MCDM) which is a decision-making method for determining the best alternative out of a number of alternatives based on certain criteria. The ranking of beneficiaries is determined using a comparison of the Simple Additive Weighting Method and the Weighted Product Method, which are the MCDM model. Manual testing was carried out on 5 (five). From the test results of the Simple Additive Weighting Method, Alternative 4 obtained the highest score. While the results of the Weighted Product method test show the highest results in Alternative 3. The difference in the calculation results of the two methods used is influenced by several factors such as the performance rating value of each alternative, the weight of the criteria, and mathematical calculations for each method, and because the criteria used do not have different weights so that the calculation results become less significant.

Decision-making model for the selection of floating wind logistic support ports

This paper addresses the selection of an optimal port for components storing and assembly of offshore wind components so as to reduce the total transportation cost, as the hub port is an important supply-chain issue that affects the installation of floating wind parks. An integrated multi-Criteria Decision method is presented for the port selection problem based on the Ranking Method and the Weighted Product Method. Twenty-one criteria have been identified based on available data and expert analysis. Floating wind experts evaluate installation port selection criteria and establish a ranking to determine the best solution. The methodology developed is applied to the Atlantic ports of the Iberian Peninsula, as a case study. The findings could interest port managers and marine transportation associations to improve the port facilities and regulations.

Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Menggunakan Metode Weighted Product

Scholarship is financial aid or support funded or facilitated by foundations, government, educational institutions, or companies to provide students with educational financial assistance. Based on an interview with the Head of the Al-Kautsar Modern Islamic Boarding School, there are several issues in determining the recipients of the school's operational assistance fund. The school only selects candidates based on a few criteria, making the selection process less complex. There is a high similarity in data at the level of eligibility for scholarship recipients. There is no weighting on the evaluation variables, making priority criteria unknown. The purpose of this study is to analyze and implement the Weighted Product (WP) method in the scholarship selection process to assist the Head of School in making the right decisions. This method helps evaluate the alternatives using predetermined criteria and provides the best decision recommendations. The WP method uses multiplication to link attribute ratings, where each attribute rating must be raised to the appropriate weight. The result of this study is the implementation of the WP method into a decision support system application to assist the scholarship selection process at the Al-Kautsar Islamic Modern Boarding School

SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN PENERIMA BLT DENGAN KEMISKINAN EKSTRIM MENGGUNAKAN METODE WEIGHT PRODUCT PADA DESA KLAMBIR V KEBUN


 
 
 Recently, the receipt of Direct Cash Assistance has not been on target, where only the poor have received the Direct Cash Assistance. The unequal distribution of direct cash assistance is caused by decisions that are difficult to consider due to manual data processing. For this problem, the researcher hopes to help the decision maker no longer have trouble making decisions in determining the recipients of this Direct Cash Assistance because of the existence of a decision support system. This decision support system uses many criteria that must be met by the recipient of the direct cash assistance. This decision support system uses the weight product method which can assist in making decisions in determining who is more appropriate to receive Direct Cash Assistance through the ranking results obtained from the results of calculations using the weight product method.
 
 

Selection of Quality Textile Materials as a Support for Supply Chain Management with the Weighted Product Method

Decision making is a matter that is very influential in the process of dealing with the selected alternative. At this time in making decisions is no longer just by human reason. Human limitations in thinking to solve a problem can now be assisted by computerization. The use of computers has developed from just processing data or presenting information, to being able to provide choices as a support for decision makers. The development of information technology has enabled decision makers to be made more quickly and accurately. The research aims to apply the weighted product method in reducing errors in the selection of quality textile materials. This research aims to facilitate the selection of quality textile materials. This research aims to be a good solution for khatialo shops in selecting quality textile materials. The weighted product (WP) method is one of the methods used to complete a decision-making system by considering the criteria and weights . Then proceed with the ranking process which will select the best alternative from a number of alternatives, in this case the alternative in question is the selection of quality textile materials based on the specified criteria. The results obtained with the highest rating value were achieved by the 4th alternative called Semi Sutra with the code TK04 alternative

Experimental investigation on microhardness, surface roughness, and white layer thickness of dry EDM

In this research, the environment-friendly dry electrical discharge machining (EDM) process is investigated to improve the microhardness, surface finish, and white layer thickness of the machined surfaces using graphite-argon gas as a dielectric medium. The graphite powder, mixed with compressed argon gas, has been used to replace the existing dielectric medium in the EDM process. Gas pressure, discharge current, pulse width, and gap voltage were working as input parameters to reduce surface roughness and enhance the microhardness and white layer thickness. The Taguchi L16 orthogonal array is applied to the design and analysis of the experimental results. The minimum surface roughness (2.23 μm) of the HN31 steel has been attained by increasing the gas pressure up to 1.0 MPa and the minimum values of pulse width (40 μs), gap voltage (40 V), and discharge current (6 A). The maximum microhardness (501.04 HV) has been obtained at 1.2 MPa of gas pressure, 120 μs of pulse width, 60 V of gap voltage, and 18 A of discharge current. The maximum white layer thickness (16.24 μm) is achieved by the maximum values of gas pressure (1.2 MPa), pulse width (160 μs), gap voltage (70 V) and discharge current (18 A). The SEM analysis had been done to reveal the white recast layer thickness and surface roughness of the machined surfaces of the dry EDM process. The SR is increased by the recast layer, pores, and microcracks on the machined surfaces. Finally, the multi-criteria optimization technique: Weight Product Method (WPM) is applied to predict optimum process parameter settings: GP: 1.2 MPa, PW: 120 μs, GV: 50 V, and DC: 18 A to meet the best machining performances (MH = 493.32 HV, WLT = 14.28 μm, and SR = 3.82 μm). The validation tests were done to confirm the predicted results obtained by both the Taguchi and WSM methods.

SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN SISWA YANG LAYAK MENERIMA BANTUAN OPERASIONAL SEKOLAH (BOS) DENGAN METODE WEIGHTED PRODUCT (WP)

Abstract: School operational assistance is a government program which is basically to provide funding for non-operational operating costs for basic education units as the implementers of the compulsory education program. Some of the problems that occur at this time in determining students who are eligible to receive school operational assistance at IT Technology Al-Fath Mukomuko Vocational High School (VHS) are still not effective, the application that is designed and will be implemented is supported by the weighted product method and implemented with flowcharts, Context diagrams, Data Flow Diagrams, Entity Relationship Diagrams, Table Relations and using visual basic net applications and MySQL database as the data base. The researcher's suggestion is that this new application can be used to replace the old system which is still manual at SMK IT Technology Al-Fath Mukomuko.

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


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

Analisis Penerapan Metode Profile Matching dan Weighted Product Dalam Pemilihan Karyawan Terbaik (Studi Kasus : Mini Market Hidayah)

Mini Market Hidayah (MM Hidayah) is a cooperative company engaged in sembako. So far MM Hidayah has evaluated the performance of its employees on things that are growing only, but has never done the best employee selection. Therefore, a computerized system is needed that can provide convenience in determining the best employees. Therefore, a computerized system is needed that can provide convenience in determining the best employees. In this study proposed a computerized system that can help in the selection of the best employees, namely using profile matching methods and weighted product methods. The Profile Matching method is the process of comparing or matching profiles between individual competencies into the ideal variable predictor level competencies that must be met by the subjects studied. While Weighted Product uses multiplication to connect attribute ratings, where the rating of each attribute must be raised first with the weight of the attribute in question, the process is the same as normalization. The Profile Matching method is used for combat values while weigthed product to determine weighting criteria. If the decision-making process is assisted by a computerized decision support system, it is expected that subjectivity in decision making can be reduced and replaced by the implementation of assessment criteria for all employees.

IMPLEMENTATION OF WEIGHTED PRODUCT METHOD IN DETERMINING SELECTION THE BEST MUSIC STREAMING SERVICE APPLICATION

At this time, the music streaming service is a platform that is often easily found on every device, either through downloads from the Playstore and Appstore or the default application from the device itself. Many companies in the world are competing to create platforms and applications that provide the most complete songs. For example, several well-known music streaming service applications in Indonesia have their own innovations and characteristics, such as Spotify, Joox, Youtube Music, Apple Music, SoundCloud, and so on. This causes users to have difficulties because of several considerations in deciding how to use the application according to their needs. This study aims to assist in providing solutions to music streaming service subscribers by recommending several music streaming service applications according to the ranking results, which are the best choice for the user version of the application through a Decision Support System using the Weighted Product method based on 5 criteria: subscription rates, available features, streaming quality, music, application design, and application efficiency. The final result of this study is the ranking of applications that have the highest score in accordance with the criteria provided, namely that in first place with a value of 0.415 is Spotify as a recommendation for the best music streaming service application, and Apple Music ranks last out of the 6 alternatives that have been provided.

An integrated multi-criteria decision-making framework for the selection of sustainable biodegradable polymer for food packaging applications.

Manifold aspects, such as the booming market for superior quality food items with increased shelf life and the escalating concern to mitigate plastic trash due to plastic packaging have motivated researchers and food industrialists to explore sustainable eco-friendly packaging solutions extensively. Biodegradable polymers are being rigorously investigated to replace conventional plastics that are toxic, non-biodegradable, and detrimental to the marine ecosystem. The scientific methodology for the prudent selection of biodegradable polymer among the frequently used biopolymers for food packaging is being reported here. The data were extracted from the available literature. A hybrid multi-criteria decision-making framework has been developed to address the problem of material selection owing to the multiple conflicting criteria involved. Assignment of equal weights to primary criteria was selected to establish the criteria weights. Different decision-making techniques (weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment method (WASPAS), and technique for order of preference by similarity to ideal solution (TOPSIS)) were used for the comparative analysis. Thereon, the different ranks obtained for each alternative were aggregated using the degree of membership technique. The robustness of the solution was checked using sensitivity analysis which was conducted by varying weights of importance using the entropy method, the CRITIC method, and the equal weights to secondary criteria. The analysis reported polylactic acid (PLA) as the most reliable polymer for food packaging applications. The sensitivity analysis concluded that the solution was without prejudice, and water vapor permeation rating was the most critical decision criterion in deciding the optimal polymer.

Robust Design of Aero Engine Structures: Using the Weighted Product Method

Total loss of quality in products or processes Reduction is the objective of robust design. Strong Design is an effective approach that aims to simultaneously decrease product costs and enhance quality while also significantly reducing development time. Strength is defined as a skill Raw material, operating conditions, process equipment, environmental conditions, and human Expected variation in factors Tolerant manufacturing process. Robust design is the design of products, devices, and manufacturing equipment so that their performance and functionality are insensitive to multiple variations, such as manufacturing and assembly tolerances, ambient use conditions, or degradation over time. Therefore, there is not strong design sensitivity – meaning that variation in the product will have minimal influence. In essence, robust design means minimizing the impact of variation on a product. One or more due to unforeseen circumstances Input variables or assumptions are rigorous although modified, their output and predictions are accurate A model is considered robust if. The alternatives being considered are related to specific aircraft features: the aerodynamic characteristic (C1), maximum takeoff weight (C2), armament (C3), and avionics (C4). The evaluation options are Ao, F-16, Su-35, and Mig-35. Based on the evaluation results, Ao obtained the top rank, while Mig-35 received the lowest rank.The value of the dataset for Robust Design of Aero Engine in Weighted product method shows that it results in Ao and top ranking

Utilization of the Weighted Product-Based CIPP Evaluation Model in Determining the Best Online Platform

Since the COVID-19 pandemic, there have been many free online platforms that can be used to support the online learning process at health colleges in Bali. However, it is difficult to determine the best online platform from the various choices of free online platforms that are scattered on the internet. Therefore, it needs innovations that contribute to helping solve these problems. One model as an innovation that can be used and contributes to solving problems is the Weighted Product-based CIPP evaluation model. The model needs to be measured for the quality of its calculations to ensure success in determining the best online platform. Therefore, this research aimed to show the quality of the Weighted Product method calculation integrated with the CIPP (Context-Input-Process-Product) model in determining the best platform used in health colleges during the COVID-19 pandemic. The instrument used to assess the quality of that calculation was a questionnaire consisting of eight questions. The subjects involved in the assessment were 20 experts. The research was carried out at several health colleges in Bali. The analytical technique used in analyzing the research data was descriptive-quantitative. The analysis was carried out by comparing the quality percentage of the calculation simulation with the quality standard based on an eleven-point scale. The study results showed the quality percentage of calculation simulation was 87.250%, so it was included in the very good category. This research has a significant impact on the progress of the educational evaluation field through research findings in the form of the appearance of the combination of the Weighted Product method with the CIPP evaluation model. The novelty of this research is the combination of the Weighted Product method and the CIPPmodel, which makes it easier for educational evaluators to determine the best online platform that supports online learning during the COVID-19 pandemic and even post-COVID-19. Doi: 10.28991/HIJ-2023-04-01-015 Full Text: PDF

Robust Design of Aero Engine Structures Using the Weighted Product Method

Total loss of quality in products or processes Reduction is the objective of robust design. Strong Design is to reduce product cost and quality to improve, the development time at the same time it is also a very powerful method of reduction. Strength is defined as a skill Raw materials, operating conditions, process equipment, environmental conditions, and human Expected variation in factors Tolerant manufacturing process. Research significance: Robust design is the design of products, devices, and manufacturing equipment so that their performance and functionality are insensitive to multiple variations, such as manufacturing and assembly tolerances, ambient use conditions, or degradation over time. Therefore, there is not strong design sensitivity – meaning that variation in the product will have minimal influence. In essence, robust design means minimizing the impact of variation on a product. One or more due to unforeseen circumstances Input variables or assumptions are rigorous although modified, their output and predictions are accurate A model is considered robust if Methology: Alternative: “The aerodynamic characteristic (C1), the maximum takeoff weight (C2), Armament (C3), Avionics (C4).” Evaluation Option: Ao, F-16, Su-35, Mig-35. Result: “from the result it is seen that Ao and is got the first rank whereas is the Mig-35 got is having the lowest rank”. Conclusion: The value of the dataset for Robust Design of Aero Engine in Weighted product method shows that it results in Ao and top ranking

A Child Growth and Development Evaluation Using Weighted Product Method

Child development is one of the factors that must be considered in improving a country's education. The level of maturity of human resources is able to maximize starting from childhood. The guidebook of the Ministry of Education and Culture of the Republic of Indonesia (Kemendikbud RI) in 2018 contained six indicators to assess children's learning ability, namely: 1) Moral, 2) Social, 3) Language, 4) Cognitive, 5) Motor, and 6) Art. This study implements these indicators to evaluate children's growth and development. The evaluation method uses the Weighted Product Method (WPM). WPM provides a ranking of the result of the evaluation. In addition, WPM also has an assessment of Beneficial and non-beneficial as a more relevant assessment between indicators. Data were collected by questionnaire at kindergarten schools with the respondents' age average of 5-6 years. The results will be calculated with indicators criteria weights given. The test results recommended for students between 0.65 to 0.62 are as follows: Mahmud, Diko, Cindy, Denny, and Riko. The kindergarten manager can use these recommendations to increase the student's aptitude.

Decicion Suport System Pemilihan Pestisida Terbaik Pada UD. Pupuk Jasa Tani Menggunakan Metode Weighted Product

Pesticides are materials to kill pests and diseases in plants. Pesticides are chemicals that are commonly used in agriculture, to kill pests and diseases that exist in agricultural crops. Based on the problems that exist in the community, researchers are trying to help the community to be able to identify the right type of pesticide for the plants that are being planted. Artificial intelligence is transferring the intelligence possessed by humans into a computer machine so that it is able to behave which is considered as intelligent as human abilities. An expert system is a branch of artificial intelligence that transfers the expertise of an expert into a system so that it can imitate the way of thinking of an expert in solving a problem. This expert system application produces output in the form of the best value for selecting the right pesticide based on the criteria inputted by the user and produces conclusions in the form of the best pesticide decision results based on the results of system analysis. The method used in this expert system is the weighted product method which was built using the PHP programming language and MySQL database.

Sistem Pendukung Keputusan Penentuan Produk Terbaik Menggunakan Weighted Product Method

The Weighted Product (WP) method is one of the methods in multi-criteria decision making used to evaluate alternatives based on predetermined criteria. This study aims to apply the WP method in determining the best products so as to help companies in marketing their products based on the results of the best product recommendations owned by the company. This study aims to apply the WP method in determining the best products so as to help companies in marketing their products based on the results of the best product recommendations owned by the company. The final result of the accumulated calculation of 4 customer assessments was obtained for rank 1 with a value of 0.904 obtained by Product E, rank 2 with a value of 0.83 obtained by Product A, rank 3 with a value of 0.794 obtained by Product D, rank 4 with a value of 0.771 obtained by Product C, and rank 5 with a value of 0.702 obtained by Product B.

Decision Support System for The Selection of Digital Advertising Provider for Car Sales Using Weight Product Method (case Study : Pt. Media Tech Indonesia)

This research is motivated by the internet which is starting to be seen as a potential media to be used as a means ofadvertising. Compared to other media such as television, the internet offers relatively lower rates for a longerinstallation period. If it costs 20 million rupiah, an advertiser can only display one ad for one slot for two times.Conversely, for the same fee, advertisers can place weeks of advertisements on the internet. Since online advertisinghas emerged, many digital ad providers have been able to advertise a product. When individuals or their companies(customers) want to advertise products, many of them still don't understand how to use digital advertising providers.The purpose of this study is to provide an information or description in the decision to choose a digital advertisingprovider for car sellers according to customer desires.In this research, a system implemented using the Weight Product (WP) method has a vector V value that is differentfor each customer. The results of this study conducted by 20 individual customer types chose digital advertisingproviders Google Ads 30%, Facebook 55%, Instagram 10%, Youtube 5% and 20 corporate type customers chose thedigital advertising provider Google Ads 15%, Facebook 45%, Instagram. 35%, Youtube 5%. It can be concluded thatthe test results show that individual customer types tend to choose the Facebook digital advertising provider (55%),while the corporate type customers tend to choose the Facebook digital ad provider (45%).

Weighted Product Method in the DSS for Employee rewards at the Cosmetics Warehouse

The Cosmetic Warehouse in this research is located in Purwokerto, a one-effort trade that provides beauty products. Cosmetic Warehouse Purwokerto had stood up since 2013 when Navissatul Darojah Gusmiati was founded with ten employees. The study aimed to apply the weighted product method as a decision support system for determining employee bonuses in the Purwokerto cosmetic warehouse and giving less salary and bonuses following performance employees. The Weighted Product method is a decision-making method with specific criteria. The weighted Product method is used to decide with multiplication for link attribute rating. Rating each attribute must be promoted, especially formerly with weight attribute in question; in a study, this is the data used, i.e., result data interview in the form of a later questionnaire processed by Weighted method product (WP). This research can produce results in the form of calculations with the used algorithm WP company with clear and detailed about giving employee bonuses with existing criteria. Moreover, score preference was obtained by an employee named Indri with a value equal to 0.105670687. for the score, 2nd preference was obtained by Princess with a value equal to 0.10356631, and for 3rd, obtained by Gio with a value equal to 0.101039953.

Weighted Product Implementation In Selection of Superior Jersey Materials in Gorich Industry and Production

The success of a convection business is determined by the materials used. The more the need for orders at GORICH Industry and production convection, the business owner must be competent in producing and selecting superior materials so that customers feel satisfied with the products purchased. The number of materials and the various criteria for these materials requires a decision support system as a solution for selecting the best materials, which is used as a recommendation for material selection to prospective buyers. This method was chosen for this study using the Weighted Product method because it can determine the weight value for each attribute; in this case, it can be followed by ranking, which will be able to select each quality from the best alternative from several existing choices. From the results of the analysis, it was also found that the jersey material alternative recommended at Gorich Industry and Production fell on the A8 option, namely Emboss material.