Prosiding Seminar Nasional Ilmu Teknik
Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik

Klasifikasi Berita Hoaks Menggunakan Algoritma Support Vector Machine

Putri Ramadani (Unknown)
Nur Aisyah Pandia (Unknown)
Salsabila Putri Hati Siregar (Unknown)

Article Info

Publish Date
18 Feb 2026

Abstract

The spread of hoax news in digital media is a serious problem because it can affect public opinion and social stability. This study aims to classify hoax news using the Support Vector Machine (SVM) algorithm. The dataset used is a hoax clarification dataset from the Ministry of Communication and Digital (Komdigi) of the Republic of Indonesia, totaling 1,872 data. The research process includes data collection, text pre-processing, feature extraction using TF-IDF, and classification using the SVM algorithm. Implementation was carried out using Google Colaboratory (Google Colab). Test results show that the SVM algorithm is able to provide good performance in classifying hoax news based on its topic with satisfactory accuracy, precision, recall, and F1-score values.

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Journal Info
Prosiding Seminar Nasional Ilmu Teknik
Website

Abbrev

PROSEMNASPROIT

Publisher

Asosiasi Riset Ilmu Teknik Indonesia

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering

Description

Prosiding Seminar Nasional Ilmu Teknik, Its a collection of papers or scientific articles that have been presented at the National Research Conference which is held regularly every two years by the Asosiasi Riset Ilmu Teknik Indonesia. The paper topics published in the Prosiding Seminar Nasional ...