Comparison of Data Mining Methods for Predictive Achievement of Vocational Middle Education Students at State Vocational School (SMKN 1) Gadingrejo Pringsewu Lampung

EasyChair Preprint 6090

Abstract

This study aims to make predictions of student achievement using data mining, Vocational High School (SMK) is one of the educational institutions that seeks to create human resources who have the ability, skills, and expertise so that graduates can develop their skills so that they can enter the world of work and To continue higher education, vocational schools aim to prepare students for employment, prepare students to be able to have careers, and prepare graduates to become productive, adaptive, and normative citizens.

 Based on the background and the search method in using the research method, the researchers conducted research using 3 data mining to perform the level of accuracy of data mining used in this study were decision tree, naive bayes,K-NN

Keyphrases: Achievement, Data Mining, Decision Tree, KNN, Naive Bayes

@booklet{EasyChair:6090,
  author    = {Jani Triwidianti and Sri Yanto and Margi Prasojo},
  title     = {Comparison of Data Mining Methods for Predictive Achievement of Vocational Middle Education Students at State Vocational School (SMKN 1) Gadingrejo Pringsewu Lampung},
  howpublished = {EasyChair Preprint 6090},
  year      = {EasyChair, 2021}}