Decision Support System Application with Survey 360 Degree Feedback

2021 ◽  
Author(s):  
Yudi Ramdhani ◽  
Rizki Tri Prasetio ◽  
Doni Purnama Alamsyah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
360 Degree Feedback

Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)

2016 ◽  
Vol 7 (1) ◽  
pp. 12-18
Author(s):  
Joko Haryanto ◽  
Seng Hansun
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Prospective Students ◽  
Fuzzy Logic Method ◽  
Index Terms ◽  
Selection Of

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major

The Decision Support System in Selecting The Characteristics of Coffee By Using Analytic Hierarcy Process Method

2020 ◽  
Vol 6 (2) ◽  
pp. 60-63
Author(s):  
Novrini Hasti ◽  
Riswan Fitriyandi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Adequate Understanding ◽  
The Common ◽  
Hierarchy Process ◽  
Process Method

This study is to determine whether the characteristics of coffee flavor can be implemented into a decision support system. In this study, the problem is the difficulty in finding coffee experts with adequate understanding and knowledge of coffee. The purpose is to implement Analytic Hierarchy Process (AHP) method to determine the characteristics of coffee flavor and to transfer the knowledge about the taste of coffee to coffee lovers. The expected results are to assist in making a decision support system application in selecting the characteristics of coffee, so that it can provide the advice to the common consumers who want to enjoy and the knowledge about the coffee itself as well.

Sistem Pendukung Keputusan Pemilihan Duta Bahasa Pelajar Dengan Menggunakan Metode Exprom II (Studi Kasus: Balai Bahasa Sumatera Utara)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Elisabet Simbolon ◽  
Mesran Mesran ◽  
AM Hatuaon Sihite
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Selection Process ◽  
Final Grade ◽  
The North ◽  
North Sumatra

The selection process for Student Language Ambassadors at the North Sumatra Language Hall is still subjective in that the assessment may not be based on established criteria or without looking objectively so the selection process is less precise and the resulting decisions are less satisfactory for the students' Language Ambassador participants.  In this study, the authors used a decision support system with the Exprom II method to find the value of weights and criteria, and to find the final grade or to find the value of the Student Language Ambassador ranking. Thus the Decision Support System is needed so that it can help the North Sumatra Language Office in determining Student Language Ambassadors. To overcome these problems, it is necessary to build a decision support system application for selecting Student Language Ambassadors using the Exprom II method so that it can help and facilitate the North Sumatra Language Hall in making decisions choosing Student Language Ambassadors and the decisions determined are satisfactoryKeywords: Decision Support System, Student Language Ambassador, Exprom Method II

APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN SOSIAL TUNAI (BST) DENGAN METODE FUZZY TSUKAMOTO

2020 ◽  
Vol 1 (2) ◽  
pp. 42-55
Author(s):  
Cut Lutfianda
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Social Assistance ◽  
Assistance Program ◽  
The Republic ◽  
The Government ◽  
The Right ◽  
Social Affairs

The government has issued policies and programs to anticipate the handling of this pandemic, one of which is the Social Assistance Program provided through the leading sector of the Ministry of Social Affairs of the Republic of Indonesia in the form of social assistance programs provided to the poor and communities that have a socio-economic impact from the corona pandemic. One of the programs launched by the government through the Ministry of Social Affairs is the Cash Social Assistance Program or Cash Social Assistance. The research objective was to develop a decision support system application for cash social assistance recipients (BST) with the Tsukamoto fuzzy method which can be used as a tool to quickly determine BST recipients. The several stages of work consist of; data collection, analysis, design and application design, implementation, and testing and evaluation. Based on the results of research and testing of the decision support system to determine BST recipients using the Fuzzy Tsukamoto method that has been carried out by researchers, several conclusions can be drawn, namely: 1) Expert system application for finding BST recipients is an application based on rules for solving problems to determine BST recipients with a high degree of accuracy and is used as a reference for BST recipients for the government to determine the right target recipients to be selected, and 2) The results of the analysis generated from this system are the same as the results of calculations manually using the theory of the Fuzzy Tsukamoto method so that the accuracy of the results is appropriate with calculations obtained from the trial.

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