IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA APRIORI UNTUK MENGETAHUI POLA PEMINJAMAN BUKU DI PERPUSTAKAAN UIN SUNAN KALIJAGA YOGYAKARTA

Muhammad Naufan Athoillah, NIM.: 18106050046 (2023) IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA APRIORI UNTUK MENGETAHUI POLA PEMINJAMAN BUKU DI PERPUSTAKAAN UIN SUNAN KALIJAGA YOGYAKARTA. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

UIN Sunan Kalijaga Yogyakarta is equipped with library facilities to support the activities of its academic community. The library has visitors from the entire academic community starting from employees including lecturers or students from various Faculties. So far, students have had difficulty getting the books they are looking for, this difficulty is due to not having reference books that are related to each other or have the same topic. Searching for library books takes quite a long time because not always related books have similar titles or are placed side by side. This research will implement data mining using an apriori algorithm to determine book borrowing patterns. From the implementation carried out by utilizing data on 47,995 book borrowings at the UIN Sunan Kalijaga Yogyakarta Library for the period January to December 2022, information can be extracted from the data collected in the form of association rules. The results of this research succeeded in finding book borrowing patterns from each faculty. This pattern shows the relationship between faculties and titles of interest. This relationship shows that users will borrow books according to the field of study they are studying. Apart from that, the association rules formed show that users tend to borrow books on the same topic.

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