Research Article
The Selection of New Students RSBI Using Fuzzy SAW Based Application
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280568, author={Aeri Rachmad and Muhammad Ali Syakur and Erick Widjaya and Yoga Dwitya Pramudita and Devi Rosa Anamisa and Sigit Susanto Putro and Eka Mala Sari Rochman and Endah Purwanti}, title={The Selection of New Students RSBI Using Fuzzy SAW Based Application}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={rsbi selection fuzzy simple additive weighting (saw)}, doi={10.4108/eai.24-10-2018.2280568} }- Aeri Rachmad
Muhammad Ali Syakur
Erick Widjaya
Yoga Dwitya Pramudita
Devi Rosa Anamisa
Sigit Susanto Putro
Eka Mala Sari Rochman
Endah Purwanti
Year: 2018
The Selection of New Students RSBI Using Fuzzy SAW Based Application
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280568
Abstract
RSBI (International School Stubs) is an international school organized by the ministry of education and culture to educate the nation. Selection of entry to become RSBI students is very strict. The number of students who register is so much that it makes it difficult for the school to select it. Accuracy and value to students become one of the determinants to enter into RSBI students. There are two types of admission tests for students in RSBI classes: written tests and practice tests.. In order for the selection process to be fair and no cheating then built an application to select prospective students RSBI using Fuzzy Simple Additive Weighting (SAW) method. From the system test conducted using prospective student data has an accuracy of 95.8% and 91.7% of data applicants RSBI prospective students. The results of 7this accuracy are compared with actual student acceptance.