Implementasi Algoritma Naïve Bayes Dalam Menganalisis Jumlah Live Stream VTuber Skem
Abstract
YouTube is evidence of the development of leading digital technology in the media and entertainment sector. YouTuber is a term for those who create content or broadcast live on YouTube media. Not all YouTubers are able to express themselves directly in the content they create. For this reason, Virtual YouTubers were created, which are 2-dimensional or 3-dimensional virtual characters created using computer software to make it easier for YouTubers to interact with viewers. This research aims to analyze the live broadcasts of VTuber HoloH3ro, namely Kaela Kovalskia, Vestia Zeta, and Kobo Kanaeru, which contain schemes during the live streaming. With a large amount of data for each live stream time, a Naïve Bayes algorithm is needed through the use of range and frequency features, so accuracy results will be obtained which will be tested using the Confusion Matrix. The dataset used was taken from the kaggle.com site regarding the scheme live stream schedule conducted by HoloH3ro.
References
Hadeel A. Saed., Ahmad S. Haider., [...]., Riyad F. Hussein. “The use of YouTube in developing the speaking skills of Jordanian EFL university stundents”. Heliyon (2021)
Herryan R. Pratama., Yohanis Franz La Kahija. “APA ARTINYA MENJADI YOUTUBER? ANALISIS FENOMENPLOGIS INTERPRATATIF TENTANG PENGALAMAN MENJADI YOUTUBER”. Jurnal Empati (2022)
Normah., Rifai. B., [...]., M. Rifki. “Analisa Sentimen Perkembangan Vtuber Dengan Metode Support Vector Machine Berbasis SMOTE”. Jurnal Teknik Komputer AMIK BSI (2022)
A. F. Akhmad., S. S. Sarpudin. (2022). “Menjelajahi Tren Vtuber melalui Case Study Kobo Kanaeru dalam Media Live-Streaming Indonesia = Exploring the Vtuber Rabbit Hole: Looking at the Rise of Kobo Kaaeru in Indonesian Live Streaming Media”.
Zain. I, Zakariya. Z. “Analisis Regresi Logistik Ordinal pada Prestasi Belajar Lulusan Mahasiswa di ITS berbasis SKEM”. Jurnal Sains dan Seni ITS (2015)
Tjanatjantia. Widika. (2013). “Sejarah Berdirinya Youtube _ Sejarah Dunia”. Retrieved from https://canacantya.wordpress.com/sejarah/sejrarah-berdirinya-Youtube
Faber T. “VTubers and the woman behind the masks”, FT.com (2021)
M. Bobbi, K. Nasution, A. Karim, and S. Esabella, “Sistem Pendukung Keputusan Penilaian Kinerja Ketua Program Studi Menerapkan Metode WASPAS dengan Pembobotan ROC,” vol. 4, no. 1, pp. 130–136, 2022, doi: 10.47065/bits.v4i1.1619.
A. Karim, “Penerapan Algoritma Entropy dan Aras Menentukan Desa Terbaik Di Pemerintah Kabupaten Labuhanbatu,” vol. 3, no. 1, pp. 33–43, 2022.
A. Karim, S. Esabella, T. Andriani, and M. Hidayatullah, “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis ( MOOSRA ) dalam Penentuan Lulusan Mahasiswa Terbaik,” vol. 4, no. 1, pp. 162–168, 2022, doi: 10.47065/bits.v4i1.1630.
G. Ginting, S. Alvita, A. Karim, and M. Syahrizal, “Penerapan Complex Proportional Assessment ( COPRAS ) Dalam Penentuan Kepolisian Sektor Terbaik,” vol. 4, no. 2, pp. 616–631, 2020.
A. Ernawati, “Penerapan Algoritma Entropy Dan Aras Menentukan Penerima Beasiswa Mahasiswa Berprestasi Di Pemerintah Kabupaten Labuhanbatu,” vol. 3, no. 2, pp. 74–84, 2022.
K. Sari and R. P. Cahyono, “ANALISIS MOOD TWITTER MELALUI LAYANAN J & T EXPRESS SELAMA HARBOLNAS 12 / 12 ( DENGAN METODE NAIVE BAYES ),” vol. 2, no. 11, pp. 1–16, 2022.
V. No, A. A. Sari, M. K. Anam, and M. Jamaris, “Edumatic : Jurnal Pendidikan Informatika Sistem Prediksi Keuntungan Influencer Pengguna E-Commerce Shopee Affiliates menggunakan Metode Naïve Bayes,” vol. 6, no. 2, pp. 394–403, 2022, doi: 10.29408/edumatic.v6i2.6787.
T. H. Pudjiantoro, F. R. Umbara, and B. Trihatmoko, “Analisis Sentimen Terhadap E-commerce Pada Media Sosial Twitter Menggunakan Metode Naïve bayes,” pp. 1–7, 2021.
J. J. A. Limbong, I. Sembiring, K. D. Hartomo, U. Kristen, S. Wacana, and P. Korespondensi, “ANALISIS KLASIFIKASI SENTIMEN ULASAN PADA E-COMMERCE SHOPEE BERBASIS WORD CLOUD DENGAN METODE NAIVE BAYES DAN K-NEAREST ANALYSIS OF REVIEW SENTIMENT CLASSIFICATION ON E-COMMERCE SHOPEE WORD CLOUD BASED WITH NAÏVE BAYES AND K-NEAREST NEIGHBOR METHODS,” vol. 9, no. 2, pp. 347–356, 2022, doi: 10.25126/jtiik.202294960.
A. Kepuasan et al., “Analisis kepuasan penggunaan aplikasi shopee menggunakan algoritma naïve bayes,” pp. 3–6.
A. Saleh, “Implementasi Metode Klasifikasi Naïve Bayes Dalam Memprediksi Besarnya Penggunaan Listrik Rumah Tangga,” vol. 2, no. 3, pp. 207–217, 2015.
Copyright (c) 2023 Ananda Aulia, Edwin Syafran Panggabean, Miftah Rusydi Tanjung, Muhammad Iqbal, Rian Farta Wijaya
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
.png)
.png)
