Optimasi Naive Bayes dan Cosine Similarity Menggunakan Particle Swarm Optimization Pada Klasifikasi Hoax Berbahasa Indonesia

 (*)Arfan Yoga Aji Nugraha Mail (Universitas AMIKOM Yogyakarta, Yogyakarta, Indonesia)
 Ferian Fauzi Abdulloh (Universitas AMIKOM Yogyakarta, Yogyakarta, Indonesia)

(*) Corresponding Author

Submitted: May 31, 2022; Published: July 25, 2022

Abstract

The widespread circulation of hoax news in the information technology era is increasingly troubling, therefore in this era an algorithm to classify hoax news is necessary, in this study researchers focused on optimizing the accuracy of hoax news classification in text documents. The algorithm that will be used is Naive Bayes and cosine Similarity which previously has been applied with particle swarm optimization algorithm. In this study, it was concluded that after feature selection using PSO in the Naive Bayes algorithm the accuracy obtained increased from 0.91 to 0.93 while in the cosine similarity algorithm the accuracy increased from 0.62 to 0.73 after feature selection using PSO

Keywords


Hoax; Text classification; Naive Bayes; Cosine Similarity; PSO

Full Text:

PDF


Article Metrics

Abstract view : 689 times
PDF - 483 times

References

H. Agus Santoso, E. Hari Rachmawanto, A. Nugraha, A. Aji Nugroho, D. Rosal Ignatius Moses Setiadi, and R. Suko Basuki, “Hoax classification and sentiment analysis of Indonesian news using Naive Bayes optimization,” Telkomnika (Telecommunication Computing Electronics and Control), vol. 18, no. 2, pp. 799–806, Apr. 2020, doi: 10.12928/TELKOMNIKA.V18I2.14744.

A. Pandhu Wijaya and H. Agus Santoso, “Improving The Accuracy of Naïve Bayes Algorithm for Hoax Classification Using Particle Swarm Optimization,” isemantic, 2018.

T. Sinta Peringkat, S. Dirjen Penguatan RisBang Kemenristekdikti, and R. Wati, “PENERAPAN ALGORITMA NAIVE BAYES DAN PARTICLE SWARM OPTIMIZATION UNTUK KLASIFIKASI BERITA HOAX PADA MEDIA SOSIAL,” Jurnal Ilmu Pengetahuan dan teknologi Komputer, vol. 5, 2020.

D. Wahyudi, T. Susyanto, D. Nugroho, P. Studi Teknik Informatika, S. Sinar Nusantara Surakarta, and P. Studi Sistem Informasi, “IMPLEMENTASI DAN ANALISIS ALGORITMA STEMMING NAZIEF & ADRIANI DAN PORTER PADA DOKUMEN BERBAHASA INDONESIA,” jurnal ilmiah sinus, vol. 15, 2017.

S. Khomsah, “Naive Bayes Classifier Optimization on Sentiment Analysis of Hotel Reviews,” Jurnal Penelitian Pos dan Informatika, vol. 10, no. 2, p. 157, Dec. 2020, doi: 10.17933/jppi.2020.100206.

F. Tempola, M. Muhammad, and A. Khairan, “PERBANDINGAN KLASIFIKASI ANTARA KNN DAN NAIVE BAYES PADA PENENTUAN STATUS GUNUNG BERAPI DENGAN K-FOLD CROSS VALIDATION COMPARISON OF CLASSIFICATION BETWEEN KNN AND NAIVE BAYES AT THE DETERMINATION OF THE VOLCANIC STATUS WITH K-FOLD CROSS VALIDATION,” jurnal teknologi informasi dan komputer, vol. 5, no. 5, pp. 577–584, 2018, doi: 10.25126/jtiik20185983.

M. Habibi, U. Jenderal, A. Yani, U. Islam, and N. Sunan Kalijaga, “Implementation of Cosine Similarity in an automatic classifier for comments Program Studi Teknik Informatika (1) (2),” JISKa, vol. 3, no. 2, pp. 110–118, 2018.

A. Prasetya Wibawa et al., “Naïve Bayes Classifier for Journal Quartile Classification,” International Journal of Recent Contributions from Engineering, Science & IT (iJES), vol. 7, no. 2, p. 91, Jun. 2019, doi: 10.3991/ijes.v7i2.10659.

A. Hanifa Setianingrum, D. Herwinda Kalokasari, and I. Marzuki Shofi, “IMPLEMENTASI ALGORITMA MULTINOMIAL NAIVE BAYES CLASSIFIER,” JURNAL TEKNIK INFORMATIKA, vol. 10, no. 2, pp. 109–118, Jan. 2018, doi: 10.15408/jti.v10i2.6822.

H. Febtadianrano Putro, R. Tri Vulandari, and W. Laksito Yuly Saptomo, “Penerapan Metode Naive Bayes Untuk Klasifikasi Pelanggan,” Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), vol. 8, no. 2, Oct. 2020, doi: 10.30646/tikomsin.v8i2.500.

V. Amrizal, “PENERAPAN METODE TERM FREQUENCY INVERSE DOCUMENT FREQUENCY (TF-IDF) DAN COSINE SIMILARITY PADA SISTEM TEMU KEMBALI INFORMASI UNTUK MENGETAHUI SYARAH HADITS BERBASIS WEB (STUDI KASUS: HADITS SHAHIH BUKHARI-MUSLIM),” JURNAL TEKNIK INFORMATIKA, vol. 11, no. 2, pp. 149–164, Nov. 2018, doi: 10.15408/jti.v11i2.8623.

A. Mustika Rizki and A. Lina Nurlaili, “Algoritme Particle Swarm Optimization (PSO) untuk Optimasi Perencanaan Produksi Agregat Multi-Site pada Industri Tekstil Rumahan,” Journal of Computer, Electronic, and Telecommunication, vol. 1, no. 2, Jan. 2021, doi: 10.52435/complete.v1i2.73.

T. Prahasto and F. Politeknik Negeri Bengkalis, “Fakultas Sains Matematika,” Jurnal Sistem Informasi Bisnis, vol. 01, no. 10, 2014.

H. Susana and N. Suarna, “PENERAPAN MODEL KLASIFIKASI METODE NAIVE BAYES TERHADAP PENGGUNAAN AKSES INTERNET Program Studi Teknik Informatika STMIK IKMI Cirebon Jl Perjuangan No 10B Kesambi Kota Cirebon 3) Program Studi Rekayasa Perangkat Lunak STMIK IKMI Cirebon Jl Perjuangan No 10B Kesambi Kota Cirebon 4) Program Studi Komputerisasi Akuntansi STMIK IKMI Cirebon Jl Perjuangan No 10B Kesambi Kota Cirebon,” Jurnal Sistem Informasi dan Teknologi Informasi), vol. 4, no. 1, pp. 1–8, 2022.

G. K. Patel, V. K. Dabhi, and H. B. Prajapati, “Clustering Using a Combination of Particle Swarm Optimization and K-means,” J. Intell. Syst., vol. 26, no. 3, pp. 457–469, 2017, doi: 10.1515/jisys-2015-0099.

EA. Jacobus D. A. R. Ariantini, ““PENGUKURAN KEMIRIPAN DOKUMEN TEKS BAHASA INDONESIA MENGGUNAKAN METODE COSINE SIMILARITY,” Jurnal Teknik Informatika, vol. 9, 2016.

A. Taufik Program et al., “Optimasi Particle Swarm Optimization Sebagai Seleksi Fitur Pada Analisis Sentimen Review Hotel Berbahasa Indonesia Menggunakan Algoritma Naïve Bayes,” Jurnal Teknik Komputer, vol. III, no. 2, 2017.

M. Kartiko and Sfenrianto, “Accuracy for Sentiment Analysis of Twitter Students on ELearning in Indonesia using Naive Bayes Algorithm Based on Particle Swarm Optimization,” in Journal of Physics: Conference Series, Aug. 2019, vol. 1179, no. 1.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Optimasi Naive Bayes dan Cosine Similarity Menggunakan Particle Swarm Optimization Pada Klasifikasi Hoax Berbahasa Indonesia

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 JURNAL MEDIA INFORMATIKA BUDIDARMA

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


JURNAL MEDIA INFORMATIKA BUDIDARMA
STMIK Budi Darma
Secretariat: Sisingamangaraja No. 338 Telp 061-7875998
Email: mib.stmikbd@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.