Abstract:
Prediction of undergraduate study period is influential in helping the study program to
monitor the development of studies from its students and prevent the existence of
students that will result in the perfomance of the study program decreases. It can also
help the study program in producing a skinned scholar who will be useful during the
reaccreditation process. This research aims to find out the predictions of the length of
study period of students using the web-based Naive Bayes method. The prediction of the
undergraduate study period consists of two stages, namely the stages in data processing
using the Naive Bayes method and the stages in system creation. The stages of data
processing using the Naive Bayes method consists of data collection, data cleansing,
data integration, data selection, data transformation and Naive Bayes stages. While the
stages in the creation of the system consist of requirment, design, implementation and
testing. Users can input variabels that are used to make prediction, then the system will
provide the results of student study period predictions based on calculations of Naive
Bayes method. The variabels used are gender, GPA semester IV, parental work and
parental income also the resulting predictions are study period on time or not. The
system is designed using UML diagrams with PHP programming languages and
MySQL databases. The results of system testing conducted using confusion matrix
againts 28 undergraduate study period data with on time and not on time labels
resulted in an accuracy rate of 78.57%.
