Vol. 5 No. 3 (2024) Articles
Open Access

Analisis Sentimen Persepsi Masyarakat Terhadap Timnas Indonesia U-23 dalam AFC-23 Asian Cup 2024 Pada Media Sosial X Menggunakan Metode Naïve Bayes Classifier

Reda Hayati Nufus
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Untung Surapati
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Published: September 20, 2024 Pages: 2647-2657
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Abstract

Social media Twitter, or now called X, not only serves as an effective communicative medium, but it can also make it easier for people to find information or interact directly with other X users, and become a container for holding opinions. X users in Indonesia often express their opinions on all areas including sports, especially the Indonesian Football Team, which has recently been heatedly discussed because of the talent of all the players who succeeded in attracting the attention not only of football fans, but of the entire Indonesia public at the AFC ASIA CUP U 23 2024 competition held in the country of Qatar. The study uses the Naive Baiyes classification method to analyze the sentiment of comments and comments on Social Media X against each match. Sentiment data from user comments on social media X is collected and classified as positive, and negative. The final results of sentimental analysis using the naïve bayes method showed accuracy values of 73.94% out of 972 datasets, with 143 predicted negative data and 828 predictable positive data. So it can be concluded that most of the public's perception is positive because they see the struggle and performance of the Indonesian National Football Team in making the nation proud.

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Author Biographies
Reda Hayati Nufus Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Program Studi Teknik Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.

Untung Surapati Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Program Studi Teknik Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.

How to Cite
Nufus, R. H., & Surapati, U. (2024). Analisis Sentimen Persepsi Masyarakat Terhadap Timnas Indonesia U-23 dalam AFC-23 Asian Cup 2024 Pada Media Sosial X Menggunakan Metode Naïve Bayes Classifier. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 5(3), 2647-2657. https://doi.org/10.35870/jimik.v5i3.964
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References
Total: 11 References
  1. Akbar, Y., & Ihsan, A. N. (2023). Analisis Sentimen Twitter Terhadap Opini Masyarakat Pada Sea Games Kamboja 2023 Menggunakan Algoritma Support Vector Machine. INTECOMS: Journal of Information Technology and Computer Science, 6(2), 814-821. DOI: https://doi.org/10.31539/intecoms.v6i2.7670.
  2. Aufa, M. M. (2021). Instrumen tes menggiring bola pada permainan sepakbola. Jurnal Edukasimu, 1(2).
  3. Chairunnisa, C. (2017). Pengaruh Literasi Membaca Dengan Pemahaman Bacaan (Penelitian Survei pada Mahasiswa STKIP Kusumanegara Jakarta). Jurnal Tuturan, 6(1), 745-756. DOI: https://doi.org/10.33603/jt.v6i1.1584.
  4. Fairuz, A. L., Ramadhani, R. D., & Tanjung, N. A. F. (2021). Analisis Sentimen Masyarakat Terhadap COVID-19 Pada Media Sosial Twitter. Journal of Dinda: Data Science, Information Technology, and Data Analytics, 1(1), 42-51.
  5. Islamy, I. (2019). Penelitian Survei dalam Pembelajaran dan Pengajaran Bahasa Inggris. Purwokerto: Universitas Muhammadiyah Purwokerto.
  1. Kusuma, A., & Nugroho, A. (2021). Analisa Sentimen Pada Twitter Terhadap Kenaikan Tarif Dasar Listrik Dengan Metode Naïve Bayes. Jurnal Ilmiah Teknologi Informasi Asia, 15(2), 137-146. DOI: https://doi.org/10.32815/jitika.v15i2.557.
  2. Maria, R., Umayah, R. U., Mahardinny, S., Kalana, D., & Saputra, D. D. (2023). Analisis Sentimen Persepsi Masyarakat Terhadap Penggunaan Aplikasi My Pertamina Pada Media Sosial Twitter Menggunakan Metode Naïve Bayes Classifier. Jurnal Komputer Antartika, 1(1), 1-10. DOI: https://doi.org/10.70052/jka.v1i1.1.
  3. Safira, A., & Hasan, F. N. (2023). Analisis Sentimen Masyarakat Terhadap Paylater Menggunakan Metode Naive Bayes Classifier. ZONAsi: Jurnal Sistem Informasi, 5(1), 59-70. DOI: https://doi.org/10.31849/zn.v5i1.12856.
  4. Sarimole, F. M., & Kudrat, K. (2024). Analisis Sentimen Terhadap Aplikasi Satu Sehat Pada Twitter Menggunakan Algoritma Naive Bayes Dan Support Vector Machine. Jurnal Sains dan Teknologi, 5(3), 783-790. DOI: https://doi.org/10.55338/saintek.v5i3.2702.
  5. Sulastiyono, R., Setiawan, A., & Nugroho, S. (2023). Sentimen Analisis Pembatalan Indonesia Menjadi Tuan Rumah Piala Dunia U-20 Menggunakan Metode Naïve Bayes. Journal of Information System Research (JOSH), 4(4), 1387-1394. DOI: https://doi.org/10.47065/josh.v4i4.3737.
  6. Yessy Asri, S. T., Kuswardani, D., & Kom, M. (2024). MACHINE LEARNING & DEEP LEARNING: Analisis Sentimen Menggunakan Ulasan Pengguna Aplikasi. Uwais Inspirasi indonesia.
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