Determination of Film Recommendations using the Generalized Sequence Pattern (GSP) Association Method

Acep Razif Andriyan (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Dinda Meysya Rochma (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Melani Nur Mudyawati (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Miftahul Jannah (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Siti Lufia Dwi Agustini (Teknik Informatika, UIN Sunan Gunung Djati Bandung)
Arham Aulia Nugraha (Teknik Informatika, UIN Sunan Gunung Djati Bandung)

Gunung Djati Conference Series
Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020

Along with the development of the times, films are used as a medium of communication and as a medium of entertainment that can be watched by fans everywhere. The high level of film enthusiasts makes viewing patterns that can be used as recommendation data. Besides, this system can provide benefits to the company concerned. This study used the Generalized Sequential Pattern (GSP) Algorithm with the Association Mining method. The primary function is to find the sequence or sequential of a set of attributes that often appear together to see the results to find out the recommendation data information after the previous film runs out.