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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Muhammad Iwan Wahyudin
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Analisis Sentimen Terhadap Vaksinasi Astra Zeneca pada Twitter Menggunakan Metode Naïve Bayes dan K-NN Slamet Harry Ramadhani; Muhammad Iwan Wahyudin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.530

Abstract

The number of positive examples of Coronavirus continues to grow every day, especially in Indonesia. In an effort to reduce the surge in the higher case, the government carried out vaccination programs provided free for all Indonesian people. One vaccine given to Masyara-kat is the Astra Zeneca vaccine. In the provision of these vaccines bring benefits and losses in the community, some are supported and doubtful, some even refuse. On social media Twitter, Astra Zeneca is one of the most widely discussed in social media because of the many opinions or opinions that have sprung up from various circles. Some opinions from the community on Twitter will be used as data to examine the analysis of sentiment in the Astra Zeneca vaccine that utilizes the Naïve Bayes and K-NN methods. It is expected to produce an accurate level of accuracy. Based on the results of the study found different levels of accuracy, for the use of the Naïve Bayes method produced an accuracy rate of 90.71% +/- 4.66% (Micro Average: 90.77%) while the KNN method produced an accuracy rate of 74.78% +/- 3.74% (micro Average: 74.77%).
Analisis Sentimen Mengenai Keberhasilan Indonesia di Ajang Thomas Cup 2020 (Studi Kasus Media Sosial Twitter) Menggunakan Metode Naïve Bayes dan Decision Tree Muhammad Andi Ramadhan; Muhammad Iwan Wahyudin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.560

Abstract

The Indonesian men's badminton team won the 2020 Thomas Cup after defeating China in the final. The final match of the Thomas Cup 2020 between Indonesia and China took place at Ceres Arena, Aarhus, Denmark. As a result, Indonesia won 3-0 over China. On social media twitter, Indonesia's success in the Thomas Cup 2020 event has become one of the most discussed topics due to the large number of supports and opinions from various circles of society. Some opinions from the public on Twitter will be used as sentiment analysis public opinion to reSearch data regarding Indonesia's success in the 2020 Thomas Cup. This reSearch uses the Naïve Bayes and K-NN methods which are expected to have a good level of accuracy. According to several studies, the Naïve Bayes method has an accuracy rate of 95.161%, while the Decision Tree method has an accuracy rate of 84.677%.
Co-Authors Muhammad Andi Ramadhan Slamet Harry Ramadhani