Jurnal Informatika
Vol 2 No 1 (2023): Jurnal Informatika

Klasifikasi Data Gempa Bumi di Pulau Sumatera Menggunakan Algoritma Naïve Bayes

Firdaus Laia (Universitas Nias Raya)
Tobias Duha (Universitas Nias Raya)
Mitranikasih Laia (Universitas Nias Raya)
Amirudin Khorul Huda (Universitas Nias Raya)
Agung Jasuma (Universitas Nias Raya)



Article Info

Publish Date
20 Mar 2023

Abstract

Indonesia is one of the countries located in the Pacific Ring of Fire, where three tectonic plates meet. This makes Indonesia very vulnerable to natural disasters such as earthquakes, volcanic eruptions, and tsunamis. These natural phenomena occur very frequently, as evidenced by events such as those that have occurred on the island of Sumatra. This study aims to classify earthquake data in the Sumatra Islands based on hypocenter using the Naive Bayes Algorithm. The study uses earthquake datasets specifically from the Sumatra Islands, which are divided into training and testing data. The results of the study indicate that classification can be performed using the Naive Bayes Algorithm based on three categories, ranging from shallow earthquakes, moderate earthquakes, to deep earthquakes.

Copyrights © 2023






Journal Info

Abbrev

JI

Publisher

Subject

Computer Science & IT

Description

Jurnal Informatika merupakan Jurnal Nasional yang sudah memiliki registrasi ISSN 2809-3704 dari LIPI yang diterbitkan oleh LPPM Universitas Nias Raya, jurnal ini menjadi wadah publikasi penelitian dan riset khususnya bidang ilmu komputer, sistem informasi dan teknologi informasi. Periode penerbitan ...