scholarly journals Implementation of the Fuzzy Topsis Algorithm in the Scholarship Recommendation System

2021 ◽  
Vol 1 (2) ◽  
pp. 157
Author(s):  
Hamzah - Setiawan
Keyword(s):  
Recommendation System ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Selection System ◽  
Client Server ◽  
Average Value ◽  
Scholarship Recipients ◽  
The University ◽  
Server Application ◽  
Recipient Selection

The scholarships given to the University of Muhammadiyah Sidoarjo include outstanding scholarships (PPA) and underprivileged scholarships (BBP). During the selection made by the university which has 9 faculties throughout the university by manual method. Although there are requirements and files that must be submitted during registration as a potential recipient, this still supports the objectivity of the selection being carried out. For this reason, it is necessary to have an innovation digitally in the selection process for this scholarship recipient. Selection system that was built practically, quickly, and accurately. For this reason, it is necessary to support the support of a client-server application and also the Fuzzy TOPSIS algorithm to determine the results of calculations and rankings based on the calculation value of each student who has been registered as a scholarship recipient. In this study, an application that is a client server has been made, where students can enter prospective scholarship recipients online. The application made has implemented the TOPSIS Fuzzy Algorithm for sorting or ranking. So that this selection work is considered faster, easier and has objective results based on the system. From the applications that have been made, 1,000 students have been tested with the composition of quotas on PPA scholarships as many as 370 and 875 for BBP scholarships. Of the 1000 data on registered students, 239 met the top ranking requirements which were declared PPA scholarship recipients. As well as the top 793 students as BBP scholarship recipients, a letter of recommendation will be printed automatically based on the information the student has received as a scholarship candidate. This trial application recommendation is for ± 3 minutes. With an average value of 77.60% satisfactory..

scholarly journals GUI MATLAB UNTUK METODE FUZZY SAW DAN FUZZY TOPSIS DALAM PEMILIHAN PENERIMA BEASISWA PPA DENGAN PEMBOBOTAN ENTROPI (Studi Kasus : Pemilihan Penerima Beasiswa PPA tahun 2017 Mahasiswa FSM UNDIP, Semarang)

2018 ◽  
Vol 7 (2) ◽  
pp. 187-199
Author(s):  
Ratna Rahmaniar ◽  
Tatik Widiharih ◽  
Dwi Ispriyanti
Keyword(s):  
Selection Process ◽  
Fuzzy Topsis ◽  
Grade Point ◽  
Scholarship Recipients ◽  
Order Preference ◽  
Calculation Results ◽  
Speed Up ◽  
Simple Additive Weighting ◽  
To Receive

For students, scholarships are important to ease the burden on parents, namely tuition fees.The large number of scholarship applicants is a challenge for FSM to be able to provide an appropriate, effective and efficient decision to manage data on scholarship recipients who are truly entitled to receive scholarships. Prospective scholarship recipients are selected based on the criteria determined by FSM.The criteria determined by the FSM are GPA (Grade Point Average), parent income, number of certificates, number of dependents of parents, semester, and electricity. The method applied to select 170 PPA scholarship recipients (Academic Achievement Improvement) is FSAW (Fuzzy Simple Additive Weighting) and FTOPSIS (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) with entropy weighting. This entropy weighting does                                             a combination of the initial weight that has been determined by FSM and the calculation weight. This research was conducted with the help of MATLAB (Matrix Laboratory)  GUI (Graphical User Interface) as a computing tool. With the MATLAB GUI system built, it can simplify and speed up the selection process. FSAW and FTOPSIS calculation results are 96% the same, while FSAW with FSM is only 39% the same and FTOPSIS with FSM is only 42% the same.The FSAW and FTOPSIS methods are better used than the determination of the FSM, because the results of the FSM are not appropriate.FSM selects manually by looking at files collected by registrants. Keywords:Scholarship, FSAW, FTOPSIS, Entropy, GUI

scholarly journals KLASIFIKASI PENEMPATAN CALON PESERTA KURSUS DENGAN ALGORITMA NAIVE BAYES

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Denny Pribadi ◽  
Yusti Farlina ◽  
Apip Supiandi
Keyword(s):  
Architectural Design ◽  
Naive Bayes ◽  
Selection Process ◽  
Naïve Bayes ◽  
Selection System ◽  
Average Value ◽  
Computer Knowledge ◽  
Bayes Algorithm ◽  
To Come ◽  
Online Buying

The Internet is the easiest means to do online promotion, online buying and testing online. Smartzone Media Studio is a place for courses in architecture. Prospective participants in Smartzone Media Studio must go through the screening step to find out the level of computer knowledge and skills and architectural design. During this time the process is still done manually, that is the prospective participants do the test on the paper, then the results of the answers checked by the examiner, after which the testers calculate the average value to determine at which level the prospective participants will be placed. In order to make the selection process easier and faster, Smartzone Media Studio needs a more effective way, then made a website-based selection system with Naïve Bayes algorithm. With this system the assessment and placement of prospective participants is done through the website, so the exam can be done anywhere without having to come to the course. With this system the results of grouping course participants can be more quickly and accurately.

scholarly journals Sistem Pendukung Keputusan untuk Seleksi Penerima Beasiswa di Fakultas Teknik Universitas Mataram.

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Karinda Irianti ◽  
Ario yudo Husodo
Keyword(s):  
Information System ◽  
Education System ◽  
Selection Process ◽  
Accuracy Rate ◽  
Manual Methods ◽  
The University ◽  
System Selection ◽  
Computerized System ◽  
Recipient Selection ◽  
Selection Of

Scholarships are one of the important components in the education system which aims to provide motivation for students to continue their studies and improve achievement. At present the selection of scholarship admissions in the technical faculty of the University of Mataram still uses manual methods. Information system selection scholarship selection aims so that the selection process for receiving scholarships can be stored neatly and effectively. The application of the scholarship recipient selection process through a computerized system will improve the accuracy of the recipient in accordance with the targets or criteria set. The system is based on applicable rules or criteria. The results of the study can be useful to assist the selection process for receiving scholarships. This scholarship recipient information system has a 62% accuracy rate in the selection process in 150 student data.

scholarly journals Implementasi Metode Fuzzy TOPSIS untuk Seleksi Penerimaan Karyawan

2011 ◽  
Vol 5 (2) ◽  
Author(s):  
Sri Lestari ◽  
Widodo Priyodiprodjo
Keyword(s):  
Selection Process ◽  
Employee Selection ◽  
Fuzzy Topsis ◽  
Candidate Selection ◽  
Selection System ◽  
Topsis Method ◽  
Comparison Result ◽  
High Quality ◽  
Hiring Decision ◽  
Order Preference

Abstract —An emerging institution would continue to need qualified workers to produce good performances.  Seeing the importance of high quality employees, the candidate selection process became an important part and should be performed promptly.  It is also important to have candidates with desirable criteria fit to the institution. Many proposed methods can be adapted to help employee selection process based on criteria.  This research propose an employee selection system based on Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, because the proposed method capable to deal with multi dimensional problems in employees selection.  The system will produce ranks that can be used to help the hiring decision. This research also compares the results from TOPSIS method and WPM method.  The comparison result shows that both methods produce the same ranks for the chosen candidates.Keywords—  Fuzzy TOPSIS, WPM, Employee Selection.

Integrating Legacy Laboratory Information Systems into a Client-Server World: The University of Minnesota Clinical Workstation (CWS) Project

1995 ◽  
Vol 34 (03) ◽  
pp. 289-296 ◽  
Author(s):  
B. H. Sielaff ◽  
D. P. Connelly ◽  
K. E. Willard
Keyword(s):  
Information Systems ◽  
Clinical Decision ◽  
Database Management System ◽  
University Of Minnesota ◽  
Client Server ◽  
Clinical Workstation ◽  
Future Hospital ◽  
The Cost ◽  
The University ◽  
Laboratory Information Systems

Abstract:The development of an innovative clinical decision-support project such as the University of Minnesota’s Clinical Workstation initiative mandates the use of modern client-server network architectures. Preexisting conventional laboratory information systems (LIS) cannot be quickly replaced with client-server equivalents because of the cost and relative unavailability of such systems. Thus, embedding strategies that effectively integrate legacy information systems are needed. Our strategy led to the adoption of a multi-layered connection architecture that provides a data feed from our existing LIS to a new network-based relational database management system. By careful design, we maximize the use of open standards in our layered connection structure to provide data, requisition, or event messaging in several formats. Each layer is optimized to provide needed services to existing hospital clients and is well positioned to support future hospital network clients.

SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMBERIAN BEASISWA “PROGRAM JONT DEGREE” UNIVERSITAS BHAYANGKARA SURABAYA MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Alek Siswanto ◽  
Syariful Alim
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Communication Skill ◽  
Degree Program ◽  
Skill Test ◽  
Scholarship Recipients ◽  
The University ◽  
Hierarchy Process

Grant scholarships to students are conducted by the University based on the achievements achieved. Since the last few years Bhayangkara University has run a Joint Degree Program scholarship in cooperation with Thailand, India, and plans to continue to the Netherlands. In scholarship grants, the Universityoften finds it difficult to determine the scholarship recipients, so it is found that scholarships are not accurate due to the manual system for the awarding of scholarships. The decision support system is an information system aimed at assisting the University in solving the problem of awarding Joint Degree Program scholarship. One method that can be used in decision support systems is Analitycal Hierarchy Process (AHP). The Analytical Hierarchy Process (AHP) method takes into account the extent of validity to the extent of inconsistency tolerance of the various criteria and alternatives chosen by the decision maker. In this research, the data used is UBHARA student data 3 last generation. The criteria used are GPA, TOEFL score, TPA Test Score, and Value of Communication Skill Test. From the results of experiments carried out the results of manual calculations of the application and manual calculations from the Institute of Cooperation get a presentation 100% equation in determining scholarship recipients. So as to produce the ranking of students, two students with the highest score in each department that will get a Joint Degree Program scholarship.Keywords: Scholarship, Student, Analytical Hierarchy Process (AHP), Decision Support System.

scholarly journals Developing a Fuzzy TOPSIS Model Combining MACBETH and Fuzzy Shannon Entropy to Select a Gamification App

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1034
Author(s):  
María Carmen Carnero
Keyword(s):  
Shannon Entropy ◽  
Fuzzy Topsis ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Ciudad Real ◽  
Industrial Manufacturing ◽  
Model Combining ◽  
La Mancha ◽  
University Course ◽  
The University

Due to the important advantages it offers, gamification is one of the fastest-growing industries in the world, and interest from the market and from users continues to grow. This has led to the development of more and more applications aimed at different fields, and in particular the education sector. Choosing the most suitable application is increasingly difficult, and so to solve this problem, our study designed a model which is an innovative combination of fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) and Shannon entropy theory, to choose the most suitable gamification application for the Industrial Manufacturing and Organisation Systems course in the degree programmes for Electrical Engineering and Industrial and Automatic Electronics at the Higher Technical School of Industrial Engineering of Ciudad Real, part of the University of Castilla-La Mancha. There is no precedent in the literature that combines MACBETH and fuzzy Shannon entropy to simultaneously consider the subjective and objective weights of criteria to achieve a more accurate model. The objective weights computed from fuzzy Shannon entropy were compared with those calculated from De Luca and Termini entropy and exponential entropy. The validity of the proposed method is tested through the Preference Ranking Organisation METHod for Enrichment of Evaluations (PROMETHEE) II, ELimination and Choice Expressing REality (ELECTRE) III, and fuzzy VIKOR method (VIsekriterijumska optimizacija i KOmpromisno Resenje). The results show that Quizizz is the best option for this course, and it was used in two academic years. There are no precedents in the literature using fuzzy multicriteria decision analysis techniques to select the most suitable gamification application for a degree-level university course.

scholarly journals An Analytical Perspective of the Reliability of Multi-Evaluation in Higher Education

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1223
Author(s):  
Antonio Rodríguez Fuentes ◽  
José Luis Gallego Ortega
Keyword(s):  
Selection Process ◽  
Self Assessment ◽  
Statistical Software ◽  
Self Evaluation ◽  
Participant Selection ◽  
Analytical Perspective ◽  
Second Year ◽  
The University ◽  
And Control ◽  
And Training

It is urgent to evaluate the rest of the renewed elements within the university didactic action, overcoming the hegemony of traditional methods in which the professor constitutes as the sole evaluator. If autonomous and cooperative group-based learning is encouraged, self-assessment and co-assessment must also be promoted, apart from the traditional lecturing and evaluation by others. The assessing competence of Teacher Training degree students (n = 175) was researched, started with stratified sampling (in the second and fourth years), following a participant selection process in each group. The compiled data were subject to descriptive, inferential, and correlation analysis by means of statistical software. The results pointed to low execution levels as for the self-evaluation (individual and group), although a certain progress was identified in the four year students compared to those in their second year of study. A better execution in evaluation was observed in all students regarding co-assessment (among different work groups in the classroom) and assessment by others (towards the professor). The use of all types of assessment is proposed, having a certain awareness and training regarding self-evaluation, and counting with a full supervision and control over it. All in all, the advantages of multiple and democratic assessment surpass the drawbacks derived from them.

Modernization of the software for measuring the quality of network traffic in the corporate network of the enterprise

2021 ◽  
pp. 104-113
Author(s):  
Е.Е. Истратова ◽  
Е.Н. Антонянц ◽  
А.О. Амельченко
Keyword(s):  
Network Traffic ◽  
Statistical Data ◽  
Client Server ◽  
Network Connection ◽  
Software Product ◽  
Corporate Network ◽  
Server Application

В статье представлены результаты модернизации ранее разработанного клиент-серверного приложения для исследования характеристик корпоративной сети. Результаты проведенных исследований позволили сделать вывод о том, что усовершенствованный программный продукт можно применять для сбора статистических данных о характеристиках сетевого подключения при передаче информации в корпоративной сети компании. The article presents the results of the modernization of a previously developed client-server application for the study of the characteristics of the corporate network. The results of the conducted research allowed us to conclude that the improved software product can be used to collect statistical data on the characteristics of the network connection when transmitting information in the corporate network of the company.

Three essays on the commercialization of university discoveries

2020 ◽  
Author(s):  
◽  
Hao Cheng
Keyword(s):  
Selection Process ◽  
Empirical Studies ◽  
Project Selection ◽  
University Of Missouri ◽  
Type 1 Error ◽  
Ex Post ◽  
The University ◽  
Type 2 Error

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Universities commercialize their discoveries at an increasing pace in order to maximize their economic impact and generate additional funding for research. They form technology transfer offices (TTOs) to evaluate the commercial value of university inventions and choose the most promising ones to patent and commercialize. Uncertainties and asymmetric information in project selection make the TTO choices difficult and can cause both type 1 error (forgo valuable discoveries) and type 2 error (select low-value discoveries). In this dissertation, I examine the TTO's project selection process and the factors that influence the choice of academic inventions for patenting and commercialization, the type 1 error committed, and the final licensing outcome. The dissertation contains three essays. In the first essay, I analyze project selection under uncertainty when both the quality of the proposed project and the motives of the applicant are uncertain. Some inventors may have an incentive to disguise the true quality and commercial value of their discoveries in order to conform to organizational expectations of disclosure while retaining rights to potentially pursue commercialization of their discoveries outside the organization's boundaries for their own benefit. Inventors may equally, ex post, lose interest to the commercialization of their invention due to competing job demands. I develop a model to examine the decision process of a university TTO responsible for the commercialization of academic inventions under such circumstances. The model describes the conditions that prompt Type 1 and Type 2 errors and allows for inferences for minimizing each. Little is known about the factors that make project selection effective or the opposite and there has been limited empirical analysis in this area. The few empirical studies that are available, examine the sources of type 2 error but there is no empirical work that analyzes type 1 error and the contributing factors. Research on type 1 error encounters two main difficulties. First, it is difficult to ascertain the decision process and second, it is challenging to approximate the counterfactual. Using data from the TTO of the University of Missouri, in the second essay I study the factors that influence the project selection process of the TTO in and the ex post type 1 error realized. In most cases, universities pursue commercialization of their inventions through licensing. There have been a few empirical studies that have researched the factors that affect licensing and their relative importance. In the third essay, I examine the characteristics of university inventions that are licensed using almost 10 years of data on several hundred of inventions, their characteristics, and the licensing status.

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