Analisis Sentimen Terhadap Kementrian Perdagangan Pada Sosial Media Twitter Menggunakan Metode Naïve Bayes

Authors

  • Fefbiansyah Hasibuan Universitas Bhayangkara
  • Wowon Priatna Universitas Bhayangkara
  • Tyastuti Sri Lestari Universitas Bhayangkara

DOI:

https://doi.org/10.33633/tc.v21i4.6565

Keywords:

Analisis Sentimen, Naïve Bayes, Kementrian Perdagangan Republik Indonesia, Tweet, Klasifikasi

Abstract

Penelitian ini untuk mendapatkan opini masyarakat di media sosial twitter terkait tentang Kementrian Perdagangan Republik Indonesia dengan mengimplementasikan algoritma Naïve Bayes untuk melakukan analisis sentimen terhadap opini yang ada. Penelitian ini bertujuan untuk menganalisis opini masyarakat di media sosial terhadap Kementrian Perdagangan Republik Indonesia mengenai kelangkaan minyak goreng dengan menggunakan Naïve Bayes. Data yang digunakan pada penelitian ini adalah postingan tweet yang diberikan masyarakat yang ditujukan dan berkaitan kepada Kementrian Perdagangan Republik Indonesia yang diambil sebanyak 1000 tweet. Metode pengumpulan data dilakukan dengan cara crawling menggunakan acces token api key yang di dapat dari twitter develover. Setelah data didapat maka dilakukan text processing agar mempermudah dalam proses analisis. Hasil analisis pada penelitian ini menggunakan  algoritma naïve bayes adalah  dengan nilai akurasi sebesar 89,24%. Perbandingan persentase didapatkan 84,02% tanggapan yangdiberikan masyarakat bernilai positif dan 15,98% bernilai negatif. 

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Published

2022-11-30

Issue

Vol. 21 No. 4 (2022): November 2022

Section

Articles

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