Analisis Sentimen Opini Publik Terhadap Penerapan Kebijakan Social Distancing Dalam Pencegahan Covid-19

Bakhtiar Rifai, Normah Normah, Bimo Danang Febryanto, Feri Yulianto, Nova Reflianah

Abstract


The last few months, Indonesia and the world are being hit by a disaster caused by the covid-19 virus, which resulted in a global pandemic that has infected more than one million human beings, because of this many countries have begun to implement various policies, including Indonesia, which is currently is implementing social distancing and PSBB, the application of which raises the pros and cons of people from all fields, to find out the response and response of the community related to the policy, a survey is needed to analyze the positive and negative comments, which are on Twitter, to analyze the response of the community can be done with text mining, text mining is the process of finding the meaning of an unstructured text or writing, to analyze the response of the community data taken from social media Twitter in the form of comments / tweets with a total of 400 comments and divided into 200 positive sentiment comments in 200 negative sentiment comments, the data is processed using the SVM classification method and will be compared with the SVM classification by PSO feature selection, the text preprocessing used is tokenize, transform cases, stopword filter and generate n-grams, and for the word weighting process using tf-idf , the accuracy of the SVM classification without PSO is 67.00% with the AUC value obtained is 0.774 and the accuracy of the SVM classification with PSO is 98.25% with the AUC value of 0.999, from the results the SVM with PSO feature selection is better in classifying sentiments than SVM without PSO feature selection.

Keywords


Social Distancing, PSBB, SVM, PSO, Covid-19

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References


Buntoro, G. A. (2017). Analisis Sentimen Calon Gubernur DKI Jakarta 2017 Di Twitter. Integer Journal, 2(1), 32–41.

Faradhillah, N. Y. A., Kusumawardani, R. P., & Hafidz, I. (2016). TWITTER PADA AKUN RESMI PEMERINTAH KOTA.

Hasan, F. N., & Wahyudi, M. (2018). ANALISIS SENTIMEN ARTIKEL BERITA TOKOH SEPAK BOLA DUNIA MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE DAN NAIVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION. Jurnal AKRAB JUARA, 3(1), 42–55. https://doi.org/10.15439/2019F121

Imam, A., & Fajtriab, H. (2015). Implementasi Text Mining pada Mesin Pencarian Twitter untuk Menganalisis Topik - Topik Terkait “KPK dan Jokowi.” Prosiding Seminar Nasional Matematika Dan Pendidikan Matematika UMS 2015, 570–581.

Ipmawati, J., Kusrini, & Taufiq Luthfi, E. (2017). Komparasi Teknik Klasifikasi Teks Mining Pada Analisis Sentimen. Indonesian Journal on Networking and Security, 6(1), 28–36.

Kristiyanti, D. A. (2015). ANALISIS SENTIMEN REVIEW PRODUK KOSMETIK MELALUI.

Kristiyanti, D. A., & Normah, N. (2019). Optimising the Particle Swam Optimazion Usage for Predicting Indonesia Presidential Election Result Period 2019-2024. SinkrOn, 4(1), 32. https://doi.org/10.33395/sinkron.v4i1.10149

Kurniawan, S., Gata, W., Puspitawati, D. A., -, N., Tabrani, M., & Novel, K. (2019). Perbandingan Metode Klasifikasi Analisis Sentimen Tokoh Politik Pada Komentar Media Berita Online. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 3(2), 176–183. https://doi.org/10.29207/resti.v3i2.935

Normah, N. (2019). Naïve Bayes Algorithm For Sentiment Analysis Windows Phone Store Application Reviews. SinkrOn, 3(2), 13, https://doi.org/10.33395/sinkron.v3i2.242

Putsanra, D. V. (2020). Arti Physical Distancing dan Social Distancing, Apa Perbedaannya? Tirto.Id. https://tirto.id/arti-physical-distancing-dan-social-distancing-apa-perbedaannya-eHNf

Utami, L. A. (2017). Melalui Komparasi Algoritma Support Vector Machine Dan K-Nearest Neighbor Berbasis Particle Swarm Optimization. 13(1), 103–112.




DOI: https://doi.org/10.31294/p.v%25vi%25i.8756

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