Naive Bayes Method For Process For Selection Of PPA Scholarship to Students: Case Study Of Informatics and Computer Management Academy Of Pakarti Luhur Tangerang

The selection process for PPA Scholarship students currently at Pakarti Luhur AMIK is not subjective, namely through meeting results so that the accuracy of the results is reduced. This decision is adjusted by several requirements criteria so that the selection of PPA scholarship recipients in accordance with the requirements contained in the Pakarti Luhur scholarship can be chosen, which is based on the Academic Achievement Scholarship (PPA) guidelines, circulated by the Ministry of Research, Technology and Higher Education. This study is in the form of a case study with research and development methods whose subject of research is the Information and Computer Management Academy of Pakarti Luhur. This model is designed for the selection process of students who have the opportunity to win PPA scholarships, with the Naive Bayes method used. The results of the model with the Naive Bayes Method in the process of selecting desktop-based PPA Scholarship winners display features of data class input menu, input data requirements, student input to be selected, data conversion process to training data, validation process, and data testing. The results of the model design can provide objective results and ease in helping to carry out the selection process. The test results also show that the use of the Naive Bayes method can be used as an alternative in making decisions in the selection of PPA Scholarship students who have an accuracy of 93.4783%