Open AccessEstimation of Students’ Graduation Using Multiple Linear Regression Method
Author(s) -
Bintang Dewi Fajar Kurniatullah,
Yuventius Tyas Catur Pramudi
Publication year - 2017
Publication title -
jais (journal of applied intelligent system)
Language(s) - English
Resource type - Journals
eISSN - 2503-0493
pISSN - 2502-9401
DOI - 10.33633/jais.v2i1.1415
Subject(s) - graduation (instrument) , regression analysis , linear regression , statistics , regression , mathematics , computer science , geometry
Utilization of students’ academic data to produce information used by management in monitoring students’ study period on Information System Department. Multiple linier regression method will produce multiple linier regression equation used for estimating students’ graduation equipped with prototype. According to analysis carried out by using nine variable SKS1, SKS2, SKS3, SKS4, IPS1, IPS2, IPS3, IPS4, and the number of repeated courses of 2008 to 2012 the multiple linier regression equation is Y = 13.49 + 0.099 X1 + (-0.068) X2 + 0.025 X3 + (-0.059) X4 + (-0.585) X5 + (-0.443) X6 + (-0.155) X7 + (-0.368) X8 + (-0.082) X9. From the equation there is an error of MSE and RMSE that is equal to 0.1168 and 0.3418. The prototype uses a PHP-based program using sublime text and XAMPP. The prototype monitoring the students’ study time in this research is very helpful if supported by management. Keywords: Data mining, multiple linear regression, estimation, monitoring, study time