Diterbitkan Oleh:
Lembaga Penelitian Pengabdian Masyarakat Universitas Nusa Mandiri
Creation is distributed below Lisensi Creative Commons Atribusi-NonKomersial 4.0 Internasional.
IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISA PEMILIHAN TIPE GENRE FILM ANIME (STUDI KASUS : MYANIMELIST.NET)
Keywords:
Anime Movies, Genre, Apriori Algorithm, Myanimelist.Net
Abstract
As with Japanese animated films or can also be called an anime film which is now starting to be popular with all circles regardless of age, status and profession. In Japanese anime films, it has several genres from action, comedy, drama, romance, adventure, etc., can be accessed as in online media such as websites that offer various types of anime, one of which is myanimelist.net on this web having 14,000 anime films shared genre. One way to increase the appeal of anime films is to use the genre data that is often watched by anime movie lovers. With these data we foam analyze what types of genres are the most watched, as well
as the tendency to choose alternative genre types that are liked by anime movie lovers. So with these data the creator can determine the strategy for the type of genre that will be created next. a priori algorithm is good for use for itemset formation, pattern searching and so on. Therefore in this study the a priori algorithm was used to determine the pattern of selection of genre types in Japanese Anime Films.
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References
Azis, M. A. (2018). Laporan Akhir Penelitian Mandiri.
Kusrini, & Luthfi, E. taufiq. (2009). Algoritma Data Mining. Yogyakarta: Andi.
Nursikuwagus, A., & Hartono, T. (2016). Implementasi Algoritma Apriori Untuk Analisis Penjualan Dengan Berbasis Web. Jurnal SIMETRIS, 7(2), 703.
Pane, D. K. (2013). Implementasi Data Mining Pada Penjualan Produk Elektronik Dengan Algoritma Apriori ( Studi Kasus : Kreditplus ). Pelita Informatika Budi Darma, valume : I, 25–29. https://doi.org/2301-9425
Tampubolon, K., Hoga, S., & Reza, B. (2013). The Lanhill Long Barrow, Wiltshire, England: An Essay in Reconstruction. Informasi Dan Teknologi Ilmiah (INTI), 1(1), 93–106. https://doi.org/10.1017/S0079497X00014341
Tanna, P., & Ghodasara, D. Y. (2014). Using Apriori with WEKA for Frequent Pattern Mining. International Journal of Engineering Trends and Technology, 12(3), 127–131. https://doi.org/10.14445/22315381/IJETT-V12P223
Kusrini, & Luthfi, E. taufiq. (2009). Algoritma Data Mining. Yogyakarta: Andi.
Nursikuwagus, A., & Hartono, T. (2016). Implementasi Algoritma Apriori Untuk Analisis Penjualan Dengan Berbasis Web. Jurnal SIMETRIS, 7(2), 703.
Pane, D. K. (2013). Implementasi Data Mining Pada Penjualan Produk Elektronik Dengan Algoritma Apriori ( Studi Kasus : Kreditplus ). Pelita Informatika Budi Darma, valume : I, 25–29. https://doi.org/2301-9425
Tampubolon, K., Hoga, S., & Reza, B. (2013). The Lanhill Long Barrow, Wiltshire, England: An Essay in Reconstruction. Informasi Dan Teknologi Ilmiah (INTI), 1(1), 93–106. https://doi.org/10.1017/S0079497X00014341
Tanna, P., & Ghodasara, D. Y. (2014). Using Apriori with WEKA for Frequent Pattern Mining. International Journal of Engineering Trends and Technology, 12(3), 127–131. https://doi.org/10.14445/22315381/IJETT-V12P223
Published
2019-03-19
How to Cite
Azis, M., Hadianto, N., Miharja, J., & Rifai, S. (2019). IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISA PEMILIHAN TIPE GENRE FILM ANIME (STUDI KASUS : MYANIMELIST.NET). Jurnal Pilar Nusa Mandiri, 14(2), 209-216. https://doi.org/10.33480/pilar.v14i2.41
Section
Articles
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