Optimization for Service Plan of Environmental Emergency Based on Entropy Value-TOPSIS Method

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

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SMART and TOPSIS Method For Determining The Priority Of Screen Printing

SinkrOn ◽

10.33395/sinkron.v4i2.10471 ◽

2020 ◽

Vol 4 (2) ◽

pp. 151

Author(s):

Rinaldi Setiawan ◽

Arini Arini ◽

Luh Kesuma Wardhani

Keyword(s):

Decision Support ◽

Programming Language ◽

Screen Printing ◽

Small And Medium Enterprises ◽

Topsis Method ◽

Product Selection ◽

Final Value ◽

Combination Of Methods ◽

Medium Enterprises ◽

Research Criteria

The number of micro, small and medium enterprises (MSMEs) in the field of screen printing and convection that use websites in marketing is one of them CV. Ini Sablon. but in the production process there are obstacles in working on orders that come to be done first in accordance with predetermined criteria, namely deadlines, number of orders, design, profit, and availability of goods. The use of Decision Support System (DSS) aims to provide recommendations to owners of screen printing companies. This study uses the SMART method to weight the criteria and the TOPSIS method for product selection. This system is built using the PHP programming language and MySQL database. The results of the study were a screen printing production priority website with the best final value of 0.62 and the worst final value of 0.35 with the level of accuracy between manual and system calculations reaching 100%. In this study the criteria cannot be updated, it is expected that further research criteria can be updated and use a combination of methods that have not been done.

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Selecting the best team from the players in the 2018 FIFA World Cup using performance analysis

International Sports Studies ◽

10.30819/iss.42-1.03 ◽

2020 ◽

Vol 42 (1) ◽

pp. 15-32

Author(s):

Tugay Karadag ◽

Coskun Parim ◽

Erhan Cene

Keyword(s):

Performance Analysis ◽

Topsis Method ◽

World Cup ◽

Fifa World Cup ◽

Performance Variables

This study aims to determine the best player in each position from among the footballers who played in the 2018 World Cup in Russia. Player statistics for those who played over 200 minutes were obtained from the FIFA official and transfermarkt.com websites. Selected performance variables were then calculated per 100 minutes and the results were normalised. Kruskal Wallis H and Bonferroni Tests were used to determine the weights of the variables before the analysis. As the variables will have different values according to the players’ positions, the weights for each position were calculated separately. Finally, the performances of the players on the basis of the variables used were ranked for each position using the TOPSIS method. A second analysis was undertaken including only those players whose ages were under 28 and goalkeepers whose ages were under 32. The purpose of this analysis was to identify players with potential that had been largely unrecognised up until the tournament. It was found that both the teams selected in this way were dominated by players from European clubs. Ninety-two percent of the top sixty players in the analysis were playing in European leagues with 85% playing in Spain, England, Italy, Germany, France or Russia.

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Implementasi Metode Entropy dan Topsis Dalam Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik

Jurnal ULTIMA Computing ◽

10.31937/sk.v10i1.887 ◽

2018 ◽

Vol 10 (1) ◽

pp. 13-18

Author(s):

Mitha Anggreani Rupang ◽

Adhi Kusnadi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Smart City ◽

Entropy Method ◽

Satisfaction Level ◽

Topsis Method ◽

Alphabetical Order ◽

Index Terms ◽

Growth Ability

Employee is a part of the company's most important asset in its efforts to maintain survival, growth, ability to compete and profit. At this time the process of assessment of employees in Jakarta Smart City is still in the form of manual and the decision only from one party only, so the process is still not accurate. So it takes the methods that must be able to replace that system. For that reason, a Decision Support System (SPK) was created to determine the best employees in Jakarta Smart City. In the system implemented the method of Entropy and TOPSIS. Entropy method can be trusted in determining the weight of the criteria to be used. And TOPSIS method can quickly perform the ranking process. Criteria to be used are quality and quantity of work, obedience, cooperation, morale, and work discipline. The index of satisfaction level of respondents to the decision support system ranges from 70% -80%, meaning that the assessment of the system created gives results at a fairly good level. Index Terms—employee, nter key words or phrases in alphabetical order, separated by commas

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