scholarly journals Penentuan Penerimaan Mahasiswa Baru Pascasarjana Menggunakan Simple Additive Weighting (SAW)

2019 ◽  
Vol 8 (2) ◽  
pp. 121-129
Author(s):  
Febri Hadi ◽  
Dodi Guswandi

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.

2020 ◽  
Vol 10 (2) ◽  
pp. 128
Author(s):  
Yuliantika Siswanti Utami ◽  
Kresna Ramanda

Rawa Buntu Indonesia Commuter Train Station has its own qualifications in selecting employees, as well as in determining employees who excel. This study aims to give awards to employees who excel. Through this award every employee is expected to be motivated to become better and improve quality. The problem faced is the difficulty in determining who is chosen to be an outstanding employee with subjective criteria. To overcome this problem, a decision support system is designed for the selection of outstanding employees using the SAW Method. By using 5 different variables, namely Integrity, Cooperation, Communication, Quality of Work and Work Discipline. By applying the Simple Additive Weighting (SAW) method, the process of selecting employee performance is more efficient so that the station can make decisions more quickly for employees who excel. Decision making system using the Simple Additive Weighting (SAW) method has helped the station in determining the selection of employee performance.


2019 ◽  
Vol 8 (3) ◽  
pp. 7251-7255

In current market conditions, the key to productive economic activity is the ability to provide a high-quality forecast, even in situations of insufficient information. Strategic forecasting refers to this type of activity, errors in which the actions of any company can have a detrimental effect on the fundamental level. The justification and selection of specific management decisions can often be carried out in conditions of uncertainty due to the inability to clearly predict the values of the final results of these decisions. The decision-making system within the framework of the strategic forecasting task should help maintain the effectiveness of actions by simplifying the picture of the real world by modelling it. While allowing to reduce the influence of the subjectivity of the personality of the decision-maker on the decision-making process itself


2018 ◽  
Vol 211 ◽  
pp. 12003
Author(s):  
Paula Couto ◽  
Filipa Salvado ◽  
Maria João Falcão Silva

The socio-economic objectives of transport projects are generally related to the improvement of travel conditions for goods and passengers as well as the improvement of the quality of the environment and the wellbeing of the served population. Railways infrastructure projects are always complex because of the many variables involved. In railway rehabilitation, in particular, social, economic and environmental variables take on considerable importance. These variables contribute strongly to the selection of the intervention project to be performed. Historically, multicriteria evaluation methods were developed to select the best alternative from a set of competing options. Multicriteria Analysis is applied for comparison of alternative projects, allowing taking into account different criteria simultaneously. It presents a framework in which all the stakeholders can participate actively in the process of decision making and in the explicit resolution of problems. The paper intends to frame the multicriteria analysis with the purpose of its implementation in railway investment projects concerning rehabilitation interventions. In this sense, its importance and potential will be highlighted for several stakeholders in the decision-making process, as well as the objectives and criteria definition for a practical implementation.


2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Mochammad Sobandi Dwi Putra ◽  
Septi Andryana ◽  
Fauziah ◽  
Aris Gunaryati

The selection of quality gemstones requires a special ability to select and assess the quality of gemstones to be traded. The diversity of types of gemstones and consumers becomes an obstacle in itself when the knowledge and ability of individuals to analyze the quality of gemstones is minimal. The decision-making method used is Fuzzy Analytical Hierarchy Process (F-AHP) method which is widely used in various sectors. F-AHP is easy to adapt to many decision issues; the research proposes a decision-making system using the F-AHP algorithm to analyze the quality of gemstones. The results obtained with the use of F-AHP model in the selection of quality gemstones show the highest quality of gemstones of all stones compared, Rubi 1, with a weight value of 0.152942.


2015 ◽  
Vol 67 (1) ◽  
pp. 1-6
Author(s):  
Amelia Bucur

Abstract The aim of this paper is to present aspects of mathematical modeling for the hierarchization of study programs from universities, based on several quality characteristics. The tools used pertain to multicriterial optimization, to the different methods of assessing importance coefficients, to the utility theory, the fuzzy formalism, and to the fuzzy simple additive weighting method. The conclusion is that multicriterial decision-making methods can be efficiently used in assessing the quality of study programs, noting that, just like other methods from the decision theory, the multicriterial decision-making methods highlight aspects of problems differently, therefore, there can be no comparison or competitiveness between them, and choosing one over the other is up to the decision-maker.


2020 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Amelia Rizqi Utami ◽  
S Solikhun ◽  
I Irawan

With the Decision Support System can improve the quality of research to be made. For example, in the selection of superior quality oil palm seeds for the new land planting process. However, in the selection of oil palm seedlings not only in financial terms, but must be seen from a variety of criteria such as weather which is very influential in the process of selecting superior seeds of oil palm and others. If the oil palm seedlings to be selected have met the criteria, the oil palm seedlings will be a good supporting factor. The support system applied in this study is called the Analytic Network Process (ANP). The ANP method is a procedure which is used to make decisions with many interrelated criteria. by using the ANP method, it will produce priority value weighting on all elements contained in the decision making system.


2019 ◽  
Vol 125 ◽  
pp. 23004
Author(s):  
Ramadiani ◽  
Reynaldi Kurniawan ◽  
Awang Harsa Kridalaksana ◽  
Muhammad Labib Jundillah

Gurame Soang Latin name Osphronomus Labirynthici gouramy including fish, that as the fish have gills and breathing apparatus in the form of additional gills (Labyrinth). One important factor in fish farming Soang Gurame is holding elections. Superior brood has characteristics identical, to distinguish it needs to experience since it is quite difficult. Some of the assessment factors in selecting a superior brood that could be considered in the cultivation of the fish farmers Gurame Soang as ideal weight, physical disability, movement of fish, the shape of the head, and the body color. All of these factors combined to get an assessment that could help the decision making process fish Gurame Soang superior sires. This study used two methods that have selected the calculation accuracy of the decision-making process. The method used is the Weighted Product and Simple Additive weighting. The results of the research that has been done, it can be concluded the total number of alternative Gurame Soang superior sires data as many as 10 fish, and obtained the results of testing the level of accuracy by using the results of data from a breeder Gurame Soang superior sires, Method of Weighted Product got an accuracy of 80% and methods Simple Additive weighting got an accuracy of 60%.


2011 ◽  
Vol 6 (4) ◽  
pp. 16
Author(s):  
Barbara J. Coe ◽  
Gopala K. Ganesh ◽  
Wolfram Kleinknecht

This paper presents a managerial framework for improving the quality of the decision making process involved in selection of new foreign markets for direct investment. The framework consists of four profiles: Market Characteristics, Competitors, Firm Capabilities, and, Competitive Parity/Superiority. Weights of individual elements within each of the profiles as well as the profile as a whole cane be assigned by managers to reflect the internal and external constraints and requirements of the firm considering foreign direct investment.


2019 ◽  
Vol 1 (1) ◽  
pp. 18-23
Author(s):  
I Nengah Juniawan ◽  
Ida Bagus Kade Dwi Suta Negara

The quality of human resources is one of the supporting factors to improve the productivity of the performance of an agency or organization. Therefore, competent human resources can support the level of performance, with the performance appraisal will be known that the achievements of each employee, this makes it easy for agencies or organizations to consider in determining the best employees. Decision Support System is a system that is able to manage data and provide the best alternative solutions. The selection of outstanding employees is determined based on criteria and weights, namely: the level of attendance, accuracy of work assignments, leadership, and length of service. Furthermore, the data from the employee is processed using the Simple Additive Weighting (SAW) method. This Simple Additive Weighting (SAW) method gives a weighting to each of the criteria used to produce the best alternative value. With this system, it is expected to be able to assist in faster decision making in high achieving employees within the TP 45 Negara Foundation.


2020 ◽  
Vol 5 (1) ◽  
pp. 18
Author(s):  
Irfan Mahendra ◽  
Adynoto Suprapto

This research was conducted to test the application of the Technique Order Preference by Similarity to Ideal Solution (TOPSIS) method and the Simple Additive Weighting (SAW) method in the decision-making process of choosing tourist destinations in East Java. This research is motivated by the problems faced by the Jakarta Backpacker Community who often have difficulty in making choices about tourist destinations to be visited in East Java. The criteria used in this study are cost, destination, meeting point, trip length and facilities obtained. The results of this study indicate that The TOPSIS method and the SAW Method can be used for the decision-making process in the selection of tourist destinations in East Java, with the results of Explore Baluran and Menjangan being the most recommended choices as the primary choice. Besides, it is also known that there is a match between the TOPSIS and SAW methods, with the calculation results using the TOPSIS method that is 0.64 and the calculation using the SAW method is 0.86 as the highest calculated value. So as such, these two methods can be stated equally well used in the process of determining tourist destinations in East Java. However, this applies only to the highest value, because for the order of two and so on, the results of calculations on these two methods show differences in rank.


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