Application of Data Mining for the Selection Process of Prospective Students at ITTelkom Surabaya by Using the SPSS Modeler
Rokhmatul Insani, Muhammad Nasrullah, Anfazul Azizah, Edriand Raygrandi
2023
Abstract
In a tertiary institution, the problem of student resignation is something that often occurs, which can be due to financial factors or the ability factors possessed by students. Early detection can be carried out on prospective students who will enter to reduce this risk. A system is needed to support the New Student Admissions (PMB) process that can predict whether students will survive to graduate or will withdraw in the current semester. By using data mining techniques predictions can be made on these problems, there are various methods used to make these predictions, one of which is by using the CHAID Algorithm. Data mining is processed using the CRISP-DM (The Cross Industry Standard Process Model for Data Mining) method. To help perform data processing, the IBM SPSS Modeler 18.0 application is used.
DownloadPaper Citation
in Harvard Style
Insani R., Nasrullah M., Azizah A. and Raygrandi E. (2023). Application of Data Mining for the Selection Process of Prospective Students at ITTelkom Surabaya by Using the SPSS Modeler. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 289-294. DOI: 10.5220/0012448600003848
in Bibtex Style
@conference{icaisd23,
author={Rokhmatul Insani and Muhammad Nasrullah and Anfazul Azizah and Edriand Raygrandi},
title={Application of Data Mining for the Selection Process of Prospective Students at ITTelkom Surabaya by Using the SPSS Modeler},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD},
year={2023},
pages={289-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012448600003848},
isbn={978-989-758-678-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD
TI - Application of Data Mining for the Selection Process of Prospective Students at ITTelkom Surabaya by Using the SPSS Modeler
SN - 978-989-758-678-1
AU - Insani R.
AU - Nasrullah M.
AU - Azizah A.
AU - Raygrandi E.
PY - 2023
SP - 289
EP - 294
DO - 10.5220/0012448600003848
PB - SciTePress