JURNAL TEKNOLOGI DAN OPEN SOURCE
Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025

Predicting New Student Admissions with the SVM Regression Model in Data Mining

Purnama, Pradani Ayu Widya (Unknown)
Pohan, Nurmaliana (Unknown)
Adiddo Restiady (Unknown)



Article Info

Publish Date
10 Dec 2025

Abstract

Prediction is an action to predict future conditions based on past data. One method for making predictions that can be used is the linear regression method. The linear regression method itself consists of two types, simple linear regression and multiple linear regression. One method that uses past data to make predictions is the linear regression method. Regression is a statistical calculation to test how closely the relationship between variables. The simplest and most frequently used regression analysis is simple linear regression. In regression analysis, there is one dependent variable usually written with the symbol Y and one or more independent variables usually written with the symbol X. The relationship between the two variables has a linear nature according to its name. The SVM method was chosen for data mining analysis in this study. There are two parameters used: Exam Scores and Admission Status. This research uses recapitulation data on the acceptance of new students at Play Group & Kindergarten Rahmah Abadi with a total of 50 people. Based on the analysis results, an accuracy rate of 91%.

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Journal Info

Abbrev

JTOS

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknologi dan Open Source menerbitkan naskah ilmiah. yang berkaitan dengan sistem informasi, teknologi informasi dan aplikasi open source secara berkala (2 kali setahun). Jurnal ini dikelola dan diterbitkan oleh Program Studi Teknik Informatika Fakultas Teknik, Universitas Islam Kuantan ...