Analysis On Internet Pattern of Youtube Browsing in Indonesia Using Web Crawling and Unsupervised Learning (Analisis Pola Minat Tayangan Youtube DI Indonesia dengan Web Crawling dan Supervised Learning)

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Diterbitkan: Dec 20, 2018
DOI: https://doi.org/10.17933/iptekkom.20.2.2018.93-106
Kata Kunci:
classification, video category, trending, crawling, supervised learning
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BPS Provinsi Bengkulu (Statistics of Bengkulu Province)

Abstrak

YouTube is a popular video sharing website, specifically in Indonesia. Every day, in every country, the list of trending videos is updated on YouTube’s Trending page. The data of trending videos can be used for information exploration, such as analysis on the pattern of interests of YouTube browsing. This research aims to grab and analyse the metadata of trending videos to generate a classifier model and statistics of trending YouTube videos in Indonesia. The data is grabbed from YouTube’s Trending page using Scraper and Screaming Frog SEO Spider tools, every day for 10 consecutive days. The data is later classified into video categories. The approach used for this purpose is rule-based classification using J48 tree algorithm and TF-IDF filter. The result of this research shows that videos about people, blogs, sports, news, politics, comedy, entertainment and music are what interest the people in Indonesia the most.

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Vol 20 No 2 (2018): JURNAL IPTEK-KOM (JURNAL ILMU PENGETAHUAN DAN TEKNOLOGI KOMUNIKASI)
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Jurnal IPTEK-KOM menggunakan kebijakan akses terbuka. Syarat yang harus dipenuhi oleh Penulis sebagai berikut:

  1. Penulis menyimpan hak cipta dan memberikan jurnal hak penerbitan pertama naskah secara simultan dengan lisensi di bawah Creative Commons Attribution License yang mengizinkan orang lain untuk berbagi pekerjaan dengan sebuah pernyataan kepenulisan pekerjaan dan penerbitan awal di jurnal ini.
  2. Penulis bisa memasukkan ke dalam penyusunan kontraktual tambahan terpisah untuk distribusi non ekslusif versi kaya terbitan jurnal (contoh: mempostingnya ke repositori institusional atau menerbitkannya dalam sebuah buku), dengan pengakuan penerbitan awalnya di jurnal ini.
  3. Penulis diizinkan dan didorong untuk mem-posting karya mereka online (contoh: di repositori institusional atau di website mereka) sebelum dan selama proses penyerahan, karena dapat mengarahkan ke pertukaran produktif, seperti halnya sitiran yang lebih awal dan lebih hebat dari karya yang diterbitkan. (Lihat Efek Akses Terbuka).

Referensi

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