Emerging Information Science and Technology
Vol 1, No 4: November 2020

Scholarship Acceptance Selection Using Neural Network Method

Rammadhany Rammadhany (Universitas Muhammadiyah Yogyakarta)
Slamet Riyadi (Universitas Muhammadiyah Yogyakarta)
Asroni Asroni (Universitas Muhammadiyah Yogyakarta)



Article Info

Publish Date
21 Oct 2022

Abstract

Muhammadiyah University of Yogyakarta is one of the private tertiary institutions that provides scholarship programs. UMY provides scholarship programs for outstanding students and middle-lower class students. In the process of receiving a scholarship, UMY has two stages, namely registration and selection. In order to obtain a scholarship, students who register must be declared to pass administrative selection and meet the assessment component as a condition for students to be eligible for scholarships. In order to know the scholarship information received by students, data processing is needed, data processing is often referred to as data mining. This writing is done to predict prospective scholarship recipients using the Neural network algorithm. The methodology at this writing begins with searching for literature studies, choosing data mining methods, data collection, data processing, application and testing of models, results and conclusions. The data used at this writing are 2019 general scholarship data, GPA data, and organizational active information data. The attributes used are parental income, GPA, scholarships, qualification and non-qualification, and active organizational information. The caption attribute qualification and non-qualification is used as a label. At this writing the authors get an accuracy of 72.62%..

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Journal Info

Abbrev

eist

Publisher

Subject

Computer Science & IT

Description

Emerging Information Science and Technology is a double-blind peer-reviewed journal which publishes high quality and state-of-the-art research articles in the area of information science and technology. The articles in this journal cover from theoretical, technical, empirical, and practical ...