Raihana Qonita Zalnie, . (2026) ANALISIS POLA PEMINJAMAN BUKU MENGGUNAKAN METODE ALGORITMA APRIORI PADA PERPUSTAKAAN SD ISLAM AL-AZHAR 1 KEBAYORAN BARU. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
|
Text
ABSTRAK.pdf Download (269kB) |
|
|
Text
AWAL.pdf Download (688kB) |
|
|
Text
BAB I.pdf Restricted to Repository UPNVJ Only Download (329kB) |
|
|
Text
BAB II.pdf Restricted to Repository UPNVJ Only Download (471kB) |
|
|
Text
BAB III.pdf Restricted to Repository UPNVJ Only Download (401kB) |
|
|
Text
BAB IV.pdf Restricted to Repository UPNVJ Only Download (953kB) |
|
|
Text
BAB V.pdf Download (306kB) |
|
|
Text
DAFTAR PUSTAKA.pdf Download (222kB) |
|
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (581kB) |
|
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (189kB) |
|
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (756kB) |
|
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (442kB) |
Abstract
School libraries play an important role in supporting students’ reading interest; therefore, effective and data-driven collection management is required. This study aims to analyze book borrowing patterns at the SD Islam Al-Azhar 1 Kebayoran Baru Library using the Apriori algorithm. The data used were obtained from students’ book borrowing transactions, which were processed through data preprocessing stages, determination of minimum support and confidence values, and the formation of frequent itemsets and association rules. The variables used are Transaction Id, Item Code, and Title. The results show that the Apriori algorithm is able to reveal associations among books that are frequently borrowed together by students. A total of 15 association rules were generated, with the most dominant association found between the books “Mahkota Surga” and “Tantangan Mama”, which have a support value of 3.08% and a confidence value of 78.72%. In addition, the analysis results were visualized in the form of tables, graphs showing the percentage of transactions involving one, two, and three books per year, tables of the most frequently borrowed books each year, network visualizations, and scatter plots.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil: 2110512149] [Pembimbing 1: Ruth Mariana Bunga WaduI [Pembimbing 2: Nindy Irzavika] [Penguji 1: Ika Nurlaili] [Penguji 2: Bambang Tri Wahyono] |
| Uncontrolled Keywords: | Apriori Algorithm, Book Borrowing Patterns, School Library, Data Visualization |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | RAIHANA QONITA ZALNIE |
| Date Deposited: | 10 Apr 2026 07:08 |
| Last Modified: | 10 Apr 2026 07:08 |
| URI: | http://repository.upnvj.ac.id/id/eprint/42265 |
Actions (login required)
![]() |
View Item |
