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All Journal Nuansa Informatika IJISTECH (International Journal Of Information System & Technology) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Computer Networks, Architecture and High Performance Computing IJISTECH
Indra Satriadi
Politeknik Negeri Sriwijaya
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences

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Journal : IJISTECH

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Graduation Prediction Application using Naive Bayes Algorithm in Sukabumi Muhammadiyah University Indra Griha Tofik Isa; Indra Satriadi
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i1.218

Abstract

The use of data mining has become a trend in data processing because of the availability of large amounts of data and the increasing need to convert this data into useful information and knowledge. Besides as a tool in extracting data, data mining is also used as decision support, both in the commercial and non-commercial fields. Of the many algorithms used in data mining, one of them is the Naïve Bayes Algorithm, which in this algorithm is one of the methods in Probabilistic Reasoning which aims to classify data in certain classes. The study conducted by applying the stages of the Naïve Bayes Algorithm in application design to predict student graduation on time based on the parameters contained in the Enrolment Student (PMB), Grade Point Average (IP) and the Finance Department. The data processed were 436 datasets from the Informatics Engineering Study Program, Muhammadiyah University of Sukabumi. The system design uses UML modeling with implementation using the PHP programming language and MySQL database. The results of the study are in the form of graduation prediction applications with an accuracy rate of 78%
Co-Authors Arif Rahman Desi Apriyanty Desy Aprianty Hetty Meileni Isa, Indra Griha Tofik Sony Oktapriandi Sulistiyanto Sulistiyanto