cover
Contact Name
Hadi
Contact Email
hadi@asia.ac.id
Phone
+6287755666488
Journal Mail Official
editor1jitika@outlook.com
Editorial Address
INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG Jalan Soekarno Hatta Rembuksari No 1A Malang
Location
Kota malang,
Jawa timur
INDONESIA
Jurnal ilmiah teknologi informasi Asia
ISSN : 0852730X     EISSN : 25808397     DOI : https://doi.org/10.32815/jitika
Core Subject : Science,
Published by Institute for Research, Development and Community Service (Lembaga Penelitian, Pengembangan dan Pengabdian Masyarakat / LP2M) of High School of Information & Computer Management (Institut Teknologi dan Bisnis AsiA MALANG as a periodical publication that provides information and analysis on the science of Technology and Information. Jurnal Ilmiah Teknologi Infomasi Asia is a journal published twice a year, double-blindly reviewing enriches the understanding of past, present, and future issues relevant to Information Technology. Jurnal Ilmiah Teknologi Infomasi Asia hopes the article raises debate, controversy, new understanding, solid theory, and reflection on the topics. Focus and Scope: Manuscript in Jurnal Ilmiah Teknologi Infomasi Asia is the result of research including but not limited to: Computer Science, Informatics Engineering, Computer Systems and Information Systems. The authors are invited to submit articles that have not been published before and are not under consideration elsewhere.
Articles 1 Documents
Search results for , issue "Vol 20 No 2 (2026): Volume 20 Issue 2 2026 (In Progress)" : 1 Documents clear
Penerapan Data Mining Untuk Analisis Pola Peminjaman Buku Menggunakan Algoritma Apriori Wicandi, Ni Putu Wanda Cahya; Utami, Nengah Widya; Dewi, Putri Anugrah Cahya
Jurnal Ilmiah Teknologi Informasi Asia Vol 20 No 2 (2026): Volume 20 Issue 2 2026 (In Progress)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.1232

Abstract

The library is an essential source of information that plays a vital role in supporting students’ learning processes. However, the increasing number of book borrowing transactions often makes it difficult for librarians to recognize borrowing patterns and manage book collections and acquisitions effectively. This study aims to discover borrowing patterns in the library of SMP Negeri 2 Denpasar using the Knowledge Discovery in Databases (KDD) method. The research process consists of five stages: Data Selection, Preprocessing/Cleaning, Data Transformation, Data Mining, and Interpretation/Evaluation. In the Data Mining stage, the Apriori algorithm was applied to generate association rules from 3.004 borrowing transactions. The results revealed two dominant patterns: students who borrowed the Pure Science category also tended to borrow the Social Science category with a confidence value of 53%, support of 14%, and lift of 1.87, while those who borrowed the Art category tended to borrow the Literature category with a confidence of 71%, support of 36%, and lift of 1.33. These findings demonstrate that the KDD process combined with the Apriori algorithm can effectively identify borrowing patterns and provide insights for optimizing library collections and management. Based on these patterns, this study recommends arranging the bookshelves according to categories that are frequently borrowed together and increasing the collection in categories that show high levels of student interest in the association results.

Page 1 of 1 | Total Record : 1


Filter by Year

2026 2026


Filter By Issues
All Issue Vol 20 No 1 (2026): Volume 20 Issue 1 2026 (8) Vol 20 No 2 (2026): Volume 20 Issue 2 2026 (In Progress) Vol 19 No 2 (2025): Volume 19 nomor 2 2025 (8) Vol 19 No 1 (2025): Volume 19 nomor 1 2025 (8) Vol 18 No 2 (2024): Volume 18 nomor 2 2024 (8) Vol 18 No 1 (2024): Volume 18 Nomor 1 (8) Vol 17 No 2 (2023): Volume 17 Nomor 2 (8) Vol 17 No 1 (2023): Volume 17 Nomor 1 (8) Vol 16 No 2 (2022): Volume 16 Nomor 2 (8) Vol 16 No 1 (2022): Volume 16 Nomor 1 (8) Vol 15 No 2 (2021): Volume 15 Nomor 2 (8) Vol 15 No 1 (2021): Volume 15 Nomor 1 (8) Vol 14 No 2 (2020): Volume 14 Nomor 2 (8) Vol 14 No 1 (2020): Volume 14 Nomor 1 (8) Vol 13 No 2 (2019): Volume 13 Nomor 2 (8) Vol 13 No 1 (2019): Volume 13 Nomor 1 (8) Vol 12 No 2 (2018): Volume 12 Nomor 2 (8) Vol 12 No 1 (2018): Volume 12 Nomor 1 (8) Vol 11 No 1 (2017): Volume 11 Nomor 1 (10) Vol 11 No 2 (2017): Volume 11 Nomor 2 (8) Vol 10 No 2 (2016): Volume 10 Nomor 2 (8) Vol 10 No 1 (2016): Volume 10 Nomor 1 (8) Vol 9 No 2 (2015): Volume 9 Nomor 2 (8) Vol 9 No 1 (2015): Volume 9 Nomor 1 (8) Vol 8 No 2 (2014): Volume 8 Nomor 2 (8) Vol 8 No 1 (2014): Volume 8 Nomor 1 (8) Vol 7 No 2 (2013): Volume 7 Nomor 2 (8) Vol 7 No 1 (2013): Volume 7 Nomor 1 (8) Vol 6 No 2 (2012): Volume 6 Nomor 2 (8) Vol 6 No 1 (2012): Volume 6 Nomor 1 (8) Vol 5 No 2 (2011): Volume 5 Nomor 2 (8) Vol 3 No 2 (2009): Volume 3 Nomor 2 (5) Vol 3 No 1 (2008): Volume 3 Nomor 1 (5) Vol 2 No 2 (2008): Volume 2 Nomor 2 (5) Vol 2 No 1 (2007): Volume 2 Nomor 1 (5) Vol 1 No 2 (2007): Volume 1 Nomor 2 (6) Vol 1 No 1 (2006): Volume 1 Nomor 1 (6) More Issue