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All Journal Telematika Sinkron : Jurnal dan Penelitian Teknik Informatika CogITo Smart Journal JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Social, Humanities, and Educational Studies (SHEs): Conference Series Building of Informatics, Technology and Science Jurnal Mantik Infotekmesin Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Reswara: Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Hasana Journal Askara: Jurnal Seni dan Desain Jurnal Teknologi Pendidikan Journal of Informatics and Interactive Technology (JIITE) Jipmas : Journal Inovasi Pengabdian Masyarakat
Dani Arifudin
Universitas Amikom Purwokerto
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Journal : Building of Informatics, Technology and Science

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Implementation Naive Bayes Algorithm in Sentiment Analysis for Netflix Reviews on Google Playstore Mahendra, Aldy; Wijaya, Anugerah Bagus; Arifudin, Dani
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6646

Abstract

Developing technology has had an impact in many ways such as watching a movie, in the past watching a movie had to be through television or cinema media. This resulted in difficulties due to inefficient broadcast schedules, as well as the inability to replay. But unlike the current era, watching movies can be done anywhere and anytime by utilizing a streaming application. One of the existing applications is Netflix, in this application there are many types of movies from all walks of life, not only that the monthly subscription system in this application is relatively cheap. The existing streaming applications are not only Netflix but there are still many other applications, therefore Netflix needs to pay attention to the reviews given by users so that this application continues to grow and is not defeated by other applications. Reviews given by users can be used as evaluation material, to see reviews cannot be seen at a glance but must be detailed. Because there are quite a lot of reviews that manual processes cannot be applied, it is necessary to use a sentiment analysis process and utilize existing algorithms such as data mining. This study aims to conduct sentiment analysis based on user reviews of the Netflix application on the google playstore. The review data of 1,000 was taken by the author and then obtained the results of the research that the reviews given by users tended to be negative and the naïve bayes algorithm got an accuracy level of 82%.
Co-Authors Aeni, Alfina Nur Ahmad Manan Musyafa Ali Nur Ikhsan Alung Susli Amin, M. Syaiful Andi Dwi Riyanto Andi Dwi Riyanto Andrianto Andrianto Annaztasya, Syifa Tania Aris Purnomo Arnika Halwa Astrida, Deuis Nur Bhakti Sihanjono Cahyo, Samsul Dwi Deuis Nur Astrida Deuis Nur Astrida Deuis, Deuis Nur Astrida Dhipa Ringi Rizky Dian Pramesti Dian Pramesti Didit Suhartono Dwi Ayu Mutiara Dwi Widyawati, Shalsa Bela Eka Sulistiyaningsih Eka Sulistiyaningsih EKA SULISTIYANINGSIH, EKA El Fakhry , Yusif Etin Pujihastuti Fatudin, Arif Febriana Febriana, Febriana Ferdianto, Dwi Angga Ferdiyansyah, Achmad Fransjaya, Michael Gilang Miftakhul Fahmi Gunawan Pamuji Hari Pangestu Ikhsan, Ali Nur Ikhsan, Imamul Imam Tahyudin Imam Tahyudin Imamul Ihsan Indrawan Firdauzi Indriyani, Ria Intan Adila Kautsar Kariadi, Mustasyfa Thabib Khamdani, Faizal Rofik Khasanah, Nurul Afifatul Krisno, Krisno Kusuma, Rahayu Linda Linda Heryanti Linda Heryanti M. Riyanton M. Syaiful Amin M. Syaiful Amin Mahendra, Aldy Mohamad Syahri Nurrochim Mustasyfa Thabib Kariadi Mutiara, Dwi Ayu Nurhopipah, Ade Prasetyo, Agung Putra, Feishal Azriel Arya Retno Waluyo Ria Indriyani Ringi Rizky, Dhipa Riska Hanifah Riyanton, Muhammad Rizky Bagas Nur Hidayat Robbani, Ayat Akras Rozak, Rofiq 'Abdul Rozaq, Hasri Akbar Awal Rujianto Eko Saputro Salli Risqi Warida Suryadilaga Saputri, Deva Risma Sari, Rida Purnama Septi Fajarwati Sholikhati, Nur Indah Siswahyudianto Subianto, Tegar Suliswaningsih Suliswaningsih Supriyono Supriyono Syahrizaldy, Hikmalul A’la Tikaningsih, Ades Tri Astuti Uswatun Hasanah Wijaya, Anugerah Bagus