@article{MAKHILLIJSC201712521424,
    title = {Graduate Rate Analysis of Student Using Data Mining and Algorithm Apriori},
    journal = {International Journal of Soft Computing},
    volume = {12},
    number = {5},
    pages = {287-293},
    year = {2017},
    issn = {1816-9503},
    doi = {ijscomp.2017.287.293},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2017.287.293},
    author = {Setiawan and},
    keywords = {Data mining,Apriori algorithm,graduate rates,student master data,information,condition},
    abstract = {The rapid growth of the accumulation of data has created a data-rich condition but minim of
information. Data mining is mining process extracting information by getting the pattern or specific rules from
large amounts of data that can solve that condition. Taking advantage of student data and student graduate
data expected to yield information about the relationship with a graduate rate of the student holding the data
through data mining technique. The graduate rate is measured from the time of study and GPA. Data mining
techniques use apriori algorithm the information displayed in the form of support and confidence values from
each graduate rate category.}
    }