KLASIFIKASI JUDUL SKRIPSI BERDASARKAN PROGRAM STUDI MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER

  • Mochammad Husni STMIK PPKIA Pradnya Paramita Malang
  • Nuriadin Hidayat STMIK PPKIA Pradnya Paramita Malang

Abstract

As a university based on the STMIK Pradnya paramita informatics study program, it has implemented an Academic Information System in serving students, and the system has been integrated, but the academic section is still experiencing obstacles, in this case the Study Program, one of which is to classify the thesis titles submitted by students, as for the unsuitability of the thesis titles of each study program, it is still often found, From these problems, it is necessary to have a solution to minimize and even eliminate inappropriate thesis titles in each study program, namely by designing a thesis title submission application by applying the Naïve Bayes Classifier method, it is hoped that the application of the Naïve Bayes Classifier method can determine the thesis title more precisely and determine the supervisor who is in accordance with their respective fields of expertise.

 Keywords: Classification, Skripsi, Naïve Bayes Classifier

Published
2023-02-06