Klasifikasi Sentimen Masyarakat Terkait Isu Pembangunan Infrastruktur Jalan Di Indonesia Pada Media Sosial Twitter

Authors

Rijalul Fikri Universitas Islam Riau
Muhammad Faisal Amrillah Universitas Islam Riau
M. Irfan Rosyadi Universitas Islam Riau
Olfan Rendi Universitas Islam Riau

DOI:

https://doi.org/10.31539/intecoms.v8i2.15129

Abstract

Tulisan ini bertujuan untuk membahas bagaimana isu pembangunan infrastruktur jalan di Indonesia dilihat dari pendapat dan perbincangan masyarakat di media sosial twitter. Twitter dapat dimanfaatkan sebagai sarana menyampaikan pendapat terkait saran, kritik,maupun opini-opini publik terkait isu pembangunan jalan. Acapkali perdebatan di media sosial ini membuat isu tersebut viral dan merubah alur pengambilan keputusan dan pentuan kebijakan pemerintah. Penelitian ini menggunakan metode text mining yang terdiri dari tahapan crawling data, pre-processing data, cleaning, case folding, tokenzing, stopword removal, stemming, labeling, pembobotan menggunakan BERT (Bidirectional Encoder Representations from Transformers) yang diuji dengan confusion matrik dengan menggunakan pemrograman python. Adapaun hasil penelitian ini didapatkan data yang berjumlah 2768 data tweet, yaitu sebanyak 71 % data positif, 0,5 data netral, dan 28,5% data negatif. Berdasarkan hasil pengujian confusion matrix dengan pemrograman python didapatkan hasil akurasi sebesar 87%. Ini berarti model sangat baik dalam mengklasifikasikan tweet, bahkan untuk kelas dengan jumlah tweet yang lebih sedikit seperti netral

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