Weighted Product Method Research Articles

Employee Performance Analysis using Analytical Hierarchy Process and Weighted Product Combinations Algorithm

One of the efforts to improve employee performance is through giving gifts to employees who have good loyalty and performance. Decision making to determine the best employees can be done by the company by assessing the performance that has been done by its employees within a certain period. Employee performance evaluation at Azaria Café & Resto is influenced by several criteria, namely cleanliness, hospitality, accary, equipment maintenance, product quality, speed. The purpose of this study is to combine AHP and weighted product methods to determine the priority of the award recipient employees. The method used in this research is AHP (Analytical Hierarchy Process). Through AHP, priority criteria will be assessed that will be used in alternative dating. The calculation of the AHP method gives the result that is the order of importance of the best criteria and recommendations of employees with an accuracy rate of 96.2%, where the order of the most important criteria starts from product quality, cleanliness, accreditation, equipment maintenance, speed, and hospitality. And employees who were recommended as the best employees using weighted Product method (WP) for Azaria Café & Resto is an employee with high value, Arif (27.4%).

Decision Support System for Determination of Decoration Service Employee Using Weighted Product Method (Case Study on Sanggar Puri Ethnic Decoration)

The amount of expertise needed to complete a decoration services project makes the leaders of the Puri Ethnic Decoration studio often have difficulty in making decisions to determine employees in accordance with the criteria of the project to be worked on. The method used in making the decision to determine the decoration service employee uses the Weighted Product (WP) method in the form of a Weighted Product (WP) calculation based on the amount of quota available in each project. The results of this study are in the form of a decision support system application that employee alternative solutions will be involved in the decoration service project.

Prediction System of Facility Maintenance using Weight Product (WP) Algorithm

This study aims to create a decision support system in determining the priority of facilities maintenance work. The current priority system of maintenance work is based on various criteria with uncertainties that often results in work that is not completed or requires a long time to work on it. It happens because the scheduling of maintenance priorities is wrong. Therefore, it needs a method of selecting priority maintenance in order to get a more accurate decision. This decision system design uses the WP method to consider the maintenance department to determine the priority selection of facility maintenance. The basic concept of the WP method is the method of solving using multiplication to link the attribute rating, where the rating must be raised first with the weight of the attribute in question. This process is the same as the normalization process. Based on this study, the results were obtained in the form of a priority level of maintenance work quickly and precisely on target from the results of the assessment and calculation of the priority level of maintenance work. Thus, using this method can increase the accuracy by 80% in determining the priority of the facility maintenance that will be conducted.

Decision Support System for Cloud Computing Service Selection Using the Weighted Product Method (Case Study: PT. Deptech Digital Indonesia)

The selection of cloud computing services requires careful consideration and review. Some aspects of the criteria that must be considered such as direct selection between services that take a long time and need to be done repeatedly. Decision Support System with Weighted Product (WP) method is an effective method because the time needed for calculation is much shorter. The purpose of this research is to apply Weighted Product (WP) method in the decision support system to choose cloud computing services where as a case study is PT Deptech Digital Indonesia, so that it can make it easier for companies to make decisions according to their needs. The calculation results using the WP method give preference to the top 3 services: Google Cloud, Amazon Web Services and Microsoft Azure. This proves that research with the WP method can be applied to various services that will be used in the future according to predetermined criteria. Based on these results, the system can recommend cloud computing services according to the needs and a good level of accuracy.

Analisis Perbandingan Sensitivitas Metode Simple Additive Weighting dan Weighted Product pada Pemilihan Kos di Sekitar UIN Sunan Kalijaga Yogyakarta

Metode dalam sistem pendukung keputusan sangat beragam sehingga kita perlu mengetahui metode mana yang lebih sensitif dalam penyelesaian sebuah kasus. Penelitian ini bertujuan untuk melakukan perbandingan sensitivitas pada metode Simple Additive Weighting dan metode Weighted Product dalam pemilihan kos di sekitar UIN Sunan Kalijaga Yogyakarta. Analisis sensitivitas dilakukan pada 6 kali percobaan dengan mengubah nilai bobot mulai dari 1, 1.5, dan 2 dengan menaikkan nilai bobot sebesar 0.5 dan 0.1. Berdasarkan penelitian yang dilakukan, sensitivitas pada Metode SAW adalah 31.26% dan sensitivitas pada Metode WP adalah 30.53%. Pada penelitian ini metode SAW memiliki nilai sensitivitas yang lebih tinggi dibandingkan dengan WP.

Decision support system for determining the location of Iwang restaurant branches using weight product method

Decision support system for determining the location of Iwang restaurant branches using weight product method

Comparison of SAW and WP methods to determine the best agricultural land

Rice is a cultivated plant that is very important for human life because it produces rice in making rice. The need for food always increases this is due to the increasing human population. Therefore, rice cultivation must be maximized. Agricultural land used to grow rice greatly affects the production produced. Different characteristics in each region should be considered in selecting suitable agricultural land. The purpose of this research is to determine and map the suitable areas for rice farming in order to obtain maximum production results. The determination of the feasibility of the location of the farm is based on the assessment of the criteria owned by each region. These criteria include soil type, slope, land area, rainfall, and irrigation or water. The criteria for each area will be processed using the Simple Additive Weighting (SAW) and Weighted Product (WP) methods, the process in this method is to find the weight value for each attribute, then a ranking process is carried out which will produce an optimal alternative, namely a suitable area for agriculture. The contribution of this research is to know the comparison of the SAW method with the WP in the process of determining the best agricultural area for rice plants. In this system using the SAW method, resulting in an accuracy rate of 72%. This is better than using the WP method which only produces an accuracy rate of 50%.

Identification of flood vulnerable zones in Batu Ampar Village, Balikpapan City using Geographical Information System Methods

Balikpapan is one of the cities that is vulnerable to flooding. One of the areas that often experience flood problems is Batu Ampar Village, in which some of its areas are basin areas so that it is vulnerable to flooding. Batu Ampar Village is a trade and service center, as well as a regional education center. The threat of flooding will greatly affect the sustain of the economic aspects. The purpose of this study is to find the vulnerable flood zones in Batu Ampar Village. The method used in this study is to use the Weighted Product method for the parameters used. Then making overlay maps will be using the ArcGIS 10.2.1 software. The overlay results will show the classify of vulnerable flood zones in Batu Ampar Village. This research has resulted in four classifications of vulnerable flood levels in Batu Ampat village. They are not vulnerable, less vulnerable, vulnerable, and very vulnerable. Highly vulnerable areas that describe frequent floods have a weighting value of more than 37 with an area of 1.32 km2. The vulnerable flood areas were located in Km. 4 (RT 41); Social housing (RT 28 and RT 48) was based on a field survey.

ARAS-FUCOM approach for VPAF fighter aircraft selection

Multi-criteria decision making (MCDM) methods are systematical science projects to help decision-makers reach accurate decisions. Applying MCDM methods in the military is important because accurate decision making is the deciding factor for success and can reduce expenditure and increase defense capability. The full consistency method (FUCOM), one of the methods in the MCDM group, has many advantages, and its results are reliable. This paper aims to evaluate and select an appropriate fighter aircraft for Vietnam People’s Air Force. Using FUCOM as a decision-making process, we find the final weight values of criteria and apply the additive ratio assessment (ARAS) method to derive the final ranking of alternatives to comply with criteria. Sensitivity analysis is conducted and the result is compared with the weighted product method to substantiate the sturdiness of the proposed method. The results show the Su-35 as the best available solution.

Sistem Pendukung Keputusan Kelayakan Penerima Program Keluarga Harapan (PKH) Menggunakan Metode TOPSIS dan Metode WP

Program Keluarga Harapan (PKH) is a program from the Indonesian government in the form of providing conditional social assistance to families or poor people who are registered in the integrated data for the poor handling program. As for recipients of assistance can be assessed from several criteria including building area, type of floor, type of wall, defecation facility, source of drinking water, source of lighting, type of fuel for cooking, frequency of buying meat and chicken in a week, frequency of eating in a day , The number of sets of new clothes purchased in a year, access to health centers, access to employment, the latest education of household heads and ownership of several assets. In this study will build a decision support system with calculations using the Technique For Orders Reference by Similarity to Ideal Solution Method (TOPSIS) and Weighted Product Method (WP). Then the final results of this study can be used as an alternative priority for the government in sorting based on the calculation results of the criteria of each family or PKH beneficiar

A Decision Making in Selection of Bricks Using Multiple Attribute Decision Making Methods

All building materials such as brick, cement, paint, lime, steel, glass, etc. of various brands with small variation in their specifications and cost are available in the markets of construction. It becomes very difficult for contractors, engineers, and owners to make right choice of materials logically to maintain good quality and minimum cost of the work. Improper choice may result in either bad quality or higher cost. Multiple Attribute Decision Making Methods are very helpful in selection of any material. These methods have been used largely in various fields of engineering for deciding best of available options. This paper presents an overview of Simple Additive Weighting Method (SAW), Weighted Product Method (WPM) and Analytical Hierarchy Process (AHP) methods which can be simply and successfully used for selection of bricks.

A Decision Making in Selection of Bricks Using Multiple Attribute Decision Making Methods

All building materials such as brick, cement, paint, lime, steel, glass, etc. of various brands with small variation in their specifications and cost are available in the markets of construction. It becomes very difficult for contractors, engineers, and owners to make right choice of materials logically to maintain good quality and minimum cost of the work. Improper choice may result in either bad quality or higher cost. Multiple Attribute Decision Making Methods are very helpful in selection of any material. These methods have been used largely in various fields of engineering for deciding best of available options. This paper presents an overview of Simple Additive Weighting Method (SAW), Weighted Product Method (WPM) and Analytical Hierarchy Process (AHP) methods which can be simply and successfully used for selection of bricks.

Penentuan Wilayah Terdampak Covid-19 dengan Menggunakan Metode Analytical Hierarchy Process, Simple Additive Weighting dan Weighted Product

Corona virus (Covid-19) is a new virus that has spread to many countries in the world, including Indonesia in 2020. This virus has spread to all provinces in Indonesia. The 3 provinces with the highest number of cases are DKI Jakarta, East Java and Java West. Currently, the ranking of areas affected by Covid-19 is only done based on the confirmed number of each province. Therefore, this study aims to rank the affected areas of Covid-19 using the Analytical Hierarchy Process, Simple Additive Weighting and Weighted Product methods. The combination is done based on the advantages of each method. The AHP method is used to analyze the criteria to produce criteria with good consistency, then the ranking process of each alternative is carried out using the SAW and WP methods. This research is expected to provide recommendations for the affected areas to make various efforts to reduce the confirmed figures.Keywords:Analytical Hierarchy Process; Decision Support System; Simple Additive Weighting; Weighted Product.

Analisa Perbandingan Metode MOORA, Promethee, dan Weighted product dalam Penentuan Lokasi Usaha

In building a business, there are many aspects that need to be considered in choosing the right business location, to minimize costs while still providing quality space to provide long-term benefits This research uses the Moora (Multi-objective optimize on the basis of ratio analysis) method, Promethee (Preference ranking organization method for enrichment evaluation), and Weighted product. These three methods were analyzed by manual calculation, then comparisons were made based on the effectiveness in processing the data and the level of conformity. The results showed that the suitability level of the weighted product method was higher with a value of 99.99857%, followed by MOORA 99.99779% and Promethee 99.99679%. Weighted products also have a fast and effective process stage, so this method is the method used in implementing web-based business location decision support systems . The results of manual and system calculations on weighted products also have the same results, namely the HI shop alternative with a value of 0.189 as the highest alternative.Keywords:Business Location, Moora, Promethee, Decision Support Systems, Weighted product.

WEB-BASED DECISION SUPPORT SYSTEM FOR GUEST STAR DETERMINATION IN E-MARKETPLACE USING WEIGHTED PRODUCT METHOD

At an event, the event organizer usually requires guest stars as performers. Event organizers often find it difficult to find a guest star that suits their needs for their event. The purpose of this research is to build an e-marketplace application as a web-based decision support system that can be used to find alternative decisions to choose guest stars according to the criteria using product weighting methods. The weighted product method is one of the methods that can be applied to web-based decision support system applications for determining guest stars in e-marketplaces. There are three criteria used to determine guest stars in this e-marketplace, these criteria are the type of show, price and location. As for the alternatives that were tested, there were nine alternatives consisting of guest stars in Yogyakarta. Functionality testing is carried out using the black box method and the result is that all functions and validation buttons on the e-marketplace can function properly. The result of calculation using the weighted product method is the guest star with the highest yield is Frengki Sermadi with a value of 0.135234, while the guest star with the lowest result is Sanggar Titik Dua with a value of 0.083222.

Quality Control Analysis With Lean Six Sigma Approach and Weighted Product Method (case study: XYZ Company)

PT. XYZ is a company engaged in the rubber processing industry. The production process at XYZ company is wasteful in the form of non-value-added activities. The types of non-value added activities contained in the production process are delays (waiting time), transportation, and defective products. In producing packing sterillizer, the company has a defective product there are bent, effervescence, and porous. The percentage of defect is 6.74%. Based on interviews with the company the tolerance given is 5%. This research uses lean six sigma approach and weighted product method. Activities that have no added value are waiting for compound activities to cutting station and transportation for packing sterilizer to cutting station. After estimating the improvement, an increase in sigma level is obtained, namely 3.51 to 3.65.

A Proposed Extended Version of the Hadi-Vencheh Model to Improve Multiple-Criteria ABC Inventory Classification

The ABC classification problem is approached as a ranking problem by the most current classification models; that is, a group of inventory items is expressed according to its overall weighted score of criteria in descending order. In this paper, we present an extended version of the Hadi-Vencheh model for multiple-criteria ABC inventory classification. The proposed model is one based on the nonlinear weighted product method (WPM), which determines a common set of weights for all items. Our proposed nonlinear WPM incorporates multiple criteria with different measured units without converting the performance of each inventory item, in terms of converting each criterion into a normalized attribute value, thereby providing an improvement over the model proposed by Hadi-Vencheh. Our study mainly includes various criteria for ABC classification and demonstrates an efficient algorithm for solving nonlinear programming problems, in which the feasible solution set does not have to be convex. The algorithm presented in this study substantially improves the solution efficiency of the canonical coordinates method (CCM) algorithm when applied to large-scale, nonlinear programming problems. The modified algorithm was tested to compare our proposed model results to the results derived using the Hadi-Vencheh model and demonstrate the algorithm’s efficacy. The practical objectives of the study were to develop an efficient nonlinear optimization solver by optimizing the quality of existing solutions, thus improving time and space efficiency.

Endüstriyel Robot Seçiminde Hibrit Çok Kriterli Karar Yaklaşımı

Numerous manufacturing companies worldwide have widely adopted industrial robots due to their advantages, such as increased efficiency and profitability. Robots with numerous features and abilities are available for a wide variety of applications. They can handle numerous tasks in various industrial applications, including welding, assembly, material handling, loading, and painting. The selection of a robot for a particular application is a multifaceted task due to its complexity, advanced features, and facilities. The decision-maker needs to choose the most suitable robot, taking into account the various features, maximizing benefits, and minimizing costs. In this context, the main objective of this study is to present an integrated multiple criteria decision analysis (MCDA) approach for industrial robot selection. The selection of the optimal robot is conducted based on three weighting methods, namely standard deviation (SD), mean weight (MW), and Shannon entropy, and three MCDA methods, namely additive ratio assessment (ARAS), simple additive weighting (SAW), and weighted product method (WPM). The objective weighting methods, SD, MW, and Shannon entropy, are adopted to eliminate subjective evaluations while determining attribute weights. Using the output of each weighting method as the input of each MCDA method, nine different ranking models are developed. The correlation between all models is examined through Kendall’s correlation coefficients. The results of all method pairs are integrated through the Borda method to reach a final consensus ranking. The results indicate that the proposed hybrid approach can be utilized successfully for the purpose of the present study, and ARAS is the most robust method.

The Determination of Yarn Supplier by Using the Weight Product Method

The Upstream Supply Chain Management is the initial component of the supply chain where the company gets raw materials from suppliers for the production process. This process is very important in the sustainability of a company’s production. The obstacle experienced at this stage is how the company decides which suppliers to choose from the many suppliers who want to offer their products. Also, it is experienced by PT. Mayer Indah Indonesia, which currently has 14 prospective suppliers, each of which has a different weight based on the assessment criteria of the company. The purpose of this study is to assist companies in making decisions to determine the best suppliers by using the Weight Product (WP) method, while the selection criteria are based on price, quality and the delivery accuracy. The results of the study can be implemented by the company to determine the right supplier in accordance with the criteria that have been required.

Application of Weighted Product (WP) Method in Decision Support of Unmer Madiun Rector Election

<em>Universitas Merdeka Madiun (UNMER Madiun) is a private campus in Madiun, East Java, led by a Chancellor. The Chancellor served for four years. Prospective Chancellors choose through Senate consideration. The selection parameters include Curriculum Vitae, Vision and Mission, and Feasibility Test. In giving attention, debates often occur in Senate meetings. Based on this, this study created a system based on information technology that can help in making decisions. Decision Support System made using the Weighted Product method. Because in terms of computing time is faster than other SPK methods, so it is faster in making decisions. The criteria used to determine decisions using the assessment parameters used in the 2019 Chancellor election. The flow of this research starts from the stage of data collection, library research, making a decision support system, and testing the system. At the stage of data collection, it was done by collecting secondary data such as the parameter parameters in the selection of the Chancellor, which then is used for the criteria data. Furthermore, in making decision support systems using prototyping system development methods. After the system is created, the system tested. For the results of this study have been successfully applied Weighted Product method to support the decision of the Chancellor selection. Furthermore, the system that has tested using the BlackBox method evaluates the success of the system. Based on the results of system testing, the success rate of SPK that has made 100% successful results.</em>