IMPLEMENTASI METODE NAIVE BAYES UNTUK KLASIFIKASI PENENTUAN KELAS PENGAJIAN DI MA’HAD AL-JAMI’AH UNHASY TEBUIRENG JOMBANG

Abstract

Data mining is a phase in the knowledge discovery in databases (KDD) process that seeks to identify
important, useful, and simply understandable new patterns or models. The recitation class at Ma'had Al-
Jami'ah UNHASY Tebuireng Jombang was established using the classification method in data mining for
this study. Ma'had Al-Jami'ah UNHASY is an educational institution associated with Hasyim Asy'ari
University. Its primary focus is on fostering entrepreneurship and pesantren. Currently, the selection
process for recitation classes, specifically tahfidz and tahsin classes, is still carried out manually, leading to
a time-consuming and ineffective procedure. The aim of this project is to develop a classification system
that utilizes the Naïve Bayes method to accurately identify recitation classes. The Naïve Bayes approach
was chosen for its simplicity and ease of implementation. The dataset attributes used in this inquiry are the
test results of the mahasantri in writing, memory, and reading the Quran. This research is expected to help
the administration of Ma'had Al-Jami'ah UNHASY in improving the process of selecting recitation classes
to make it more efficient and effective. Furthermore, it will provide a system with the ability to categorize
the classes of Ma'had Al-Jami'ah mahasantri into two distinct groups: "Tahfidz" and "Tahsin”.
Keywords: Data mining ,classification, Naïve Bayes Algorithm