Klasifikasi Sentimen Opini terhadap Film Kartini Menggunakan Naive Bayes pada Platform X


  • Muhammad Al-Fajr Ramadhani * Mail Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia
  • Joko Aryanto Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia
  • Iwan Hartadi Tri Untoro Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia
  • Agus Sujarwadi Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia
  • (*) Corresponding Author
Keywords: Sentiment Analysis; Naïve Bayes; Kartini Film; Platform X; Python

Abstract

Film is an audiovisual media that not only serves as entertainment, but can also provide information and touch the emotions of its audience. In the development of the digital era, people tend to use social media to search for films that are popular or trending. One platform that is often used for this purpose is Twitter, which in July 2023 changed its name to ‘X’. This research discusses the sentiment analysis of the film Kartini on the X social media platform, which tells the story of R.A. Kartini's struggle for the rights of Indonesian women. The film became a topic of conversation with various opinions, both positive and negative, circulating on the platform. The amount of public sentiment often creates confusion for potential viewers in determining whether the film is worth watching. These varying views on the film can affect viewers' perceptions, which in turn risks creating a disappointing viewing experience and making viewers feel that the time spent was not worthwhile. Therefore, the researcher aims to classify the sentiment of platform X users towards the film Kartini using the Naive Bayes Classifier method, which works based on Bayes' Theorem to predict the probability of an event based on previous data. This method was chosen due to its ability to efficiently classify sentiment into positive or negative categories. Temporary results on testing data using the naive bayes algorithm and python programming language obtained very good results. The best accuracy result of the emotion dataset obtained is 98% and the best accuracy of the sentiment dataset obtained is 86%.

Downloads

Download data is not yet available.

References

N. D. Thaheer and V. D. Adiprabowo, “Analisis Naratif Dalam Film Singsot,” Tonil: Jurnal Kajian Sastra, Teater dan Sinema, vol. 21, no. 1, pp. 15–27, 2024.

S. Saepudin, S. Widiastuti, and C. Irawan, “Sentiment Analysis Of Social Media Platform Reviews Using The Naïve Bayes Classifier Algorithm,” Jurnal Sisfokom (Sistem Informasi Dan Komputer), vol. 12, no. 2, 2023.

A. L. Afriani, D. Suprayitno, and N. A. Misbah, “Pengaruh Media Online Reviews terhadap Keputusan Menonton Film,” Jurnal Penelitian Sosial Ilmu Komunikasi, vol. 7, no. 1, 2023.

A. Khairani, “Konstrusi Hoax Melalui Fitur Media Sosial Dalam Persfektif Cyberculture,” DIALEKTIKA KOMUNIKA: Jurnal Kajian Komunikasi dan Pembangunan Daerah, vol. 7, no. 2, 2020.

A. Putri and L. Nurhajati, “Representasi Perempuan Dalam Kukungan Tradisi Jawa Pada Film Kartini Karya Hanung Bramantyo,” ProTVF, vol. 4, no. 1, 2020.

M. Fahmi, “Hegemoni Kesetaraan Gender Pada Film Kartini Karya Hanung Bramantyo,” Musawa: Jurnal Studi Gender Dan Islam, vol. 19, no. 1, 2020.

A. Z. Amrullah, A. S. Anas, and Muh. A. J. Hidayat, “Analisis Sentimen Movie Review Menggunakan Naive Bayes Classifier Dengan Seleksi Fitur Chi Square,” Jurnal Bumigora Information Technology (BITe), vol. 2, no. 1, 2020.

S. B. Putri, Y. N. Anisa, and N. Saputra, “Analisis Sentimen Film Kuliah Kerja Nyata (KKN) Di Desa Penari Menggunakan Metode Naive Bayes,” Journal of Information Systems and Communication Technology (JuSiTik), vol. 5, no. 2, 2022.

Y. Nurtikasari, S. Alam, and T. I. Hermanto, “Analisis Sentimen Opini Masyarakat Terhadap Film Pada Platform TwitterMenggunakan Algoritma Naive Bayes,” INSOLOGI: Jurnal Sains dan Teknologi, vol. 1, no. 4, 2022.

B. D. Kurniawan and M. Akbar, “Sistem Pakar Diagnosa Gangguan Tidur Pada Anak Menggunakan Naïve Bayes,” Journal of Computer System and Informatics (JoSYC), vol. 5, no. 4, pp. 747–757, 2024.

M. M. Effendi, A. T. Zy, and A. Arwan, “Analisis Sentimen Media Sosial Twitter Terhadap Calon Presiden RI Tahun 2024 Menggunakan Klasifikasi Algoritma Naïve Bayes,” Journal of Computer System and Informatics (JoSYC), vol. 5, no. 3, pp. 739–746, 2024.

L. Lathifah, E. Handoyo, and Y. A. A. Soetrisno, “Sistem Crawling Data Instrumen Akreditasi Berbasis Selenium Dan Pandas,” Transient: Jurnal Ilmiah Teknik Elektro, vol. 10, no. 1, pp. 84–91, 2021.

T. Gori, A. Sunyoto, and H. Al Fatta, “Preprocessing Data dan Klasifikasi untuk Prediksi Kinerja Akademik Siswa,” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 11, no. 1, 2024.

I. Romli and R. F. P. Dewi, “Penerapan Data Mining Menggunakan Algoritma K-Means Untuk Klasifikasi Penyakit ISPA,” Indonesian Journal of Business Intelligence (IJUBI), vol. 4, no. 1, 2021.

B. O. Lubis, B. Santoso, R. T. Yunandar, and B. A. Wahid, “Desain Sistem Informasi Pemesanan Paket Wisata dengan Metode Framework Application of System Thinking (FAST),” JATI (Jurnal Mahasiswa Teknik Informatika), vol. 8, no. 3, 2024.

A. Sutanti, M. K. MZ, Mustika, and P. Damayanti, “ Rancang Bangun Aplikasi Perpustakaan Keliling Menggunakan Pendekatan Terstruktur,” Jurnal Ilmiah Dan Informatika (KOMPUTA), vol. 9, no. 1, 2020.

T. E. Ardiansyah, E. H. Priyatna, and T. Megaster, Management Information System Dengan Pendekatan Literasi Perangkat Dan Etika Teknologi Informasi. Purbalingga: Eureka Media Aksara, 2023.

M. N. Umam, D. Solahudin, and A. R. Rinaldi, “Pengembangan Aplikasi Perencanaan Pernikahan Berbasis Mobile ,” EKUITAS: Jurnal Teknologi Ilmu Komputer, vol. 2, no. 1, pp. 89–94, 2023.

A. R. Putri, A. Hafizhah, F. H. Rahmah, R. Muslikhah, and Nabila Suci, “Pemodelan Diagram UML Pada Perancangan Sistem Aplikasi Konsultasi Hewan Peliharaan Berbasis Android (Studi Kasus: Alopet),” Jurnal Ilmu Komputer Dan Bisnis (JIKB), vol. 12, no. 2, pp. 130–139, 2021.

Y. M. Putra and F. H. Silalahi, “Diagram Aliran Data untuk Perusahaan Kecil (Studi Kasus Pada PT. APK),” Jurnal AKSI (Akuntansi Dan Sistem Informasi, 2021.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Klasifikasi Sentimen Opini terhadap Film Kartini Menggunakan Naive Bayes pada Platform X

Dimensions Badge
Article History
Submitted: 2024-11-06
Published: 2024-11-29
Abstract View: 61 times
PDF Download: 21 times
Section
Articles