Analisis sentimen komentar youtube terhadap Anies Baswedan sebagai bakal calon presiden 2024 menggunakan metode naive bayes classifier
Abstract
One of the figures as a presidential candidate is Anies Baswedan, the former governor of DKI Jakarta who received many awards and has an effective work program policy for problems in the DKI Jakarta area. Many comments about Anies Baswedan as a 2024 presidential candidate are found on YouTube social media. Youtube facilitates users to provide comments in response to videos which can be used as sentiment analysis information to find out positive comments and negative comments. The algorithm used in this research is the naïve bayes classifier. There are five main processes in this research, namely data collection, text preprocessing, word weighting (TF-IDF), classification (Naïve Bayes Classifier) and testing. From 1009 comment data on Indonesian-language youtube related to the Anies Baswedan video as a 2024 presidential candidate. Based on the analysis results, there are 610 positive comments and 399 negative comments. The accuracy result using the naïve bayes classifier algorithm is 78% which is obtained by using a comparison of 90% training data and 10% test data.
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References
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[3] D. Angraina and A. Putri, “Analisis Sentimen Pengguna Aplikasi Google Meet Menggunakan Algoritma Support Vector Machine,” Jurnal CoSciTech (Computer Science and Information Technology), vol. 3, no. 3, pp. 472–478, Dec. 2022, doi: 10.37859/coscitech.v3i3.4260.
[4] D. F. Zhafira, B. Rahayudi, and Indriati, “Analisis Sentimen Kebijakan Kampus Merdeka Menggunakan Naive Bayes dan Pembobotan TF-IDF,” 2021.
[5] M. Hudha, E. Supriyati, and T. Listyorini, “Analisis Sentimen Pengguna Youtube Terhadap Tayangan #MATANAJWAMENANTITERAWAN Dengan Metode Naive Bayes Classifier,” Jurnal Informatika dan Komputer) Akreditasi KEMENRISTEKDIKTI, vol. 5, no. 1, pp. 2614–8897, 2022, doi: 10.33387/jiko.
[6] T. Sanubari, C. Prianto, and N. Riza, Odol (One desa one product unggulan online) penerapan metode Naive Bayes pada pengembangan aplikasi e-commerce menggunakan Codeigniter. Bandung, Jawa Barat: Kreatif, 2020.
[7] S. Ash and S. Agustian, “Analisis Sentimen Masyarakat Terhadap Kebijakan Vaksinasi Covid-19 pada Media Sosial Twitter menggunakan Metode Logistic Regression,” Jurnal CoSciTech (Computer Science and Information Technology), vol. 3, no. 2, pp. 99–106, Aug. 2022, doi: 10.37859/coscitech.v3i2.3836.
[8] M. I. Aditama, I. P. Rizqeya, K. H. U. Wiwaha, and N. A. Rakhmawati, “Analisis Klasifikasi Sentimen Pengguna Media Sosial Twitter Terhadap Pengadaan Vaksin COVID-19,” 2020.
[9] A. S. Jeremy, M. F. Tresna, and N. Aryo, “Analisis Sentimen Pengguna Twitter Terhadap Polemik Persepakbolaan Indonesia Menggunakan Pembobotan TF-IDF dan K-Nearest Neighbor,” Aug. 2019.
[10] I. D. Dinov, Data Science and Predictive Analytics: Biomedical and Health Applications using R. in The Springer Series in Applied Machine Learning. Springer International Publishing, 2023. [Online]. Available: https://books.google.co.id/books?id=hrquEAAAQBAJ
[11] H. Tuhuteru and A. Iriani, “Analisis Sentimen Perusahaan Listrik Negara Cabang Ambon Menggunakan Metode Support Vector Machine dan Naive Bayes Classifier,” Jurnal Informatika: Jurnal Pengembangan IT, vol. 3, no. 3, pp. 394–401, Oct. 2018, doi: 10.30591/jpit.v3i3.977.
[12] P. D. Duei, G. F. Nama, and W. E. Sulistiono, “Analisis Sentimen Kinerja Dewan Perwakilan Rakyat (DPR) Pada Twitter Menggunakan Metode Naive Bayes Classifier,” Jurnal Informatika dan Teknik Elektro Terapan, vol. 10, no. 1, Jan. 2022, doi: 10.23960/jitet.v10i1.2262.
[13] A. A. Permana et al., Machine Learning. Padang Sumatera Barat: Global Eksekutif Teknologi, 2023.
[14] J. Suntoro, Data mining : algoritma dan implementasi dengan pemrograman PHP , Pertama. Jakarta: Elex Media Komputindo, 2019.
[15] S. Smys, R. Bestak, R. Palanisamy, and I. Kotuliak, Computer Networks and Inventive Communication Technologies: Proceedings of Fourth ICCNCT 2021. in Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Singapore, 2021. [Online]. Available: https://books.google.co.id/books?id=sdFCEAAAQBAJ
[16] M. M. Farhan and U. R. Febrian, “Analisis Sentimen Mahasiswa Terhdapap Fasilitas Universitas Telkom Menggunakan Metode Jaringan Saraf Tiruan dan TF-IDF,” 2019.
[17] N. I. Aliffiyanti, I. Ernawati, and Y. Widiastiwi, “Klasifikasi Diagnosis Penyakit Stroke Dengan Menggunakan Metode Random Forest,” 2022.
[18] R. F. Nur and S. D. Harini, “Klasifikasi Berita Hoax Pilpres Menggunakan Metode Modified K-Nearest Neighbor dan Pembobotan Menggunakan TF-IDF,” 2019.
[19] S. Khairunnisa, A. Adiwijaya, and S. Al Faraby, “Pengaruh Text Preprocessing terhadap Analisis Sentimen Komentar Masyarakat pada Media Sosial Twitter (Studi Kasus Pandemi COVID-19),” JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 5, no. 2, p. 406, Apr. 2021, doi: 10.30865/mib.v5i2.2835.
[20] E. B. Susanto, P. A. Christianto, M. R. Maulana, and S. W. Binabar, “Analisis Kinerja Algoritma Naïve Bayes Pada Dataset Sentimen Masyarakat Aplikasi NEWSAKPOLE Samsat Jawa Tengah,” Jurnal CoSciTech (Computer Science and Information Technology), vol. 3, no. 3, pp. 234–241, Dec. 2022, doi: 10.37859/coscitech.v3i3.4343.
Published
2023-04-30
How to Cite
Chely Aulia Misrun, Haerani, E., Fikry, M., & Budianita, E. (2023). Analisis sentimen komentar youtube terhadap Anies Baswedan sebagai bakal calon presiden 2024 menggunakan metode naive bayes classifier. Jurnal CoSciTech (Computer Science and Information Technology), 4(1), 207-215. https://doi.org/10.37859/coscitech.v4i1.4790
Section
Articles
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