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Hadi
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INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG Jalan Soekarno Hatta Rembuksari No 1A Malang
Location
Kota malang,
Jawa timur
INDONESIA
Jurnal ilmiah teknologi informasi Asia
Published by Institut Teknologi dan Bisnis Asia Malang
ISSN : 0852730X     EISSN : 25808397     DOI : https://doi.org/10.32815/jitika
Core Subject : Science,
Computer Science & IT
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 272 Documents
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Penerapan Enkripsi AES-256 Untuk Pengamanan Data Pada Website Layanan Administrasi Desa Cantik Febiola, Febiola; Kasmawi, Kasmawi; Hidayasari, Nurmi
Jurnal Ilmiah Teknologi Informasi Asia Vol 20 No 1 (2026): Volume 20 Issue 1 2026 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.1229

Abstract

Data security in village administration service systems is a critical concern, as these systems manage sensitive personal information such as full names, National Identity Numbers (NIK), Family Card (KK) numbers, addresses, and supporting documents. Many existing village administration systems store such data without adequate protection, increasing the risk of data leakage, identity theft, and unauthorized access. This study implements the Advanced Encryption Standard (AES-256) algorithm to enhance data security in a village administration services website. The research methodology includes system requirements analysis, system design, AES-256 implementation for personal data and document encryption, and functional and performance evaluation. The system automatically encrypts all sensitive data before storing it in the database and decrypts it only for authorized administrators. In addition, the system supports secure processing of statistical Excel files to facilitate the Desa CANTIK program. Experimental results show that the proposed system provides strong data protection with minimal performance overhead, averaging less than 120 ms for encrypting and decrypting 5 MB files, while maintaining acceptable CPU and memory usage. These results indicate that AES-256 can be effectively integrated into village administration services to improve data security without compromising system efficiency.
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 28 of 28 | Total Record : 272

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