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Klasifikasi Komentar Terhadap Kebijakan Legalisasi Otomatis Konten Dewasa di Youtube Kids Menggunakan Algoritma Naïve Bayes

muhamad padli haikal

Abstract


Youtube is one of the most popular entertainment media with many facilities offered both paid and free. Youtube has also released several versions, one of which is specifically for children, namely Youtube Kids. Users can provide input on how to use the application on the Google Play Store. Based on this, this study uses negative and positive comments with the research title "Classification of Comments on the Automatic Legalization of Adult Content Policy on Youtube Kids Using the Naïve Bayes Algorithm", and grouping words using the Clustering Cosine Similarity method with the intention of categories related to the word new policy on YouTube Kids to be more specific. Multinomial Naïve Bayes modeling using a confusion matrix evaluation produces an accuracy of 83% with a True Positive value of 129 and False Positive 50, False Negative 15, True Negative 200.


Keywords


Classification, Youtube Kids, Cosine Similarity, Multinomial Naïve Bayes;

References


Arfanda, Indri, William Ramdhan, and Riki Andri Yusda. 2021. “Digital Transformation Technology ( Digitech ) | e-ISSN : 9999-9999 Naive Bayes Dalam Menentukan Penerima Bantuan Langsung Tunai Digital Transformation Technology ( Digitech ) | e-ISSN : 9999-9999.” 1(1):9–16.

Febriana, Resti, Moch Ali Fauzi, and Rizal Setya Perdana. 2018. “Klasifikasi Berita Pada Twitter Dengan Menggunakan Metode Naive Bayes Dan Feature Expansion Berbasis Cosine Similarity.” 2(12):7461–65.

Hermawan, Francisca. 2022. “Analisis Minat Masyarakat Pengguna Platform YouTube Sebagai Media Komunikasi Digital Masa Kini.” Online) JURNAL MANAJEMEN 14(3):2022–2564. doi: 10.29264/jmmn.v14i3.11565.

Randhika, Muhammad Naufal, Julio Christian Young, Alethea Suryadibrata, and Hadian Mandala. 2021. “Implementasi Algoritma Complement Dan Multinomial Naïve Bayes Classifier Pada Klasifikasi Kategori Berita Media Online.” Ultimatics : Jurnal Teknik Informatika 13(1):19–25. doi: 10.31937/ti.v13i1.1921.

Tristania Dyah Astuti. 2022. “Waspada Konten Negatif Di YouTube Kids.” Validnews.Id. Retrieved (https://validnews.id/kultura/waspada-konten-negatif-di-youtube-kids).

Winiarti, Sri, Desy Widayanti, Ulaya Ahdiani, and Taufiq Ismail. 2022. “Klasifikasi Jenis Buku Berdasarkan Cover Dan Judul Buku Menggunakan Metode Support Vector Machine Dan Cosine Similarity.” Sainteks 19(1):53. doi: 10.30595/sainteks.v19i1.13423.

Youtube. 2023. “Aplikasi Yang Dibuat Khusus Untuk Anak-Anak.” Https://Www.Youtube.Com/Intl/ALL_id/Kids/.

Yutika, Clarisa Hasya, Adiwijaya Adiwijaya, and Said Al Faraby. 2021. “Analisis Sentimen Berbasis Aspek Pada Review Female Daily Menggunakan TF-IDF Dan Naïve Bayes.” Jurnal Media Informatika Budidarma 5(2):422. doi: 10.30865/mib.v5i2.2845.


Full Text: PDF

DOI: 10.24269/jkt.v7i2.2321

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