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Penting Struktur Data Tree dalam Mengelolah Data Komputer Intan Sahyuni; Aura Chintiya Bella; Muhammad Rijal; Syaira Ramadhani; Eksyel Bongga Upa'; Suci Dian Azzahra; Ketrin Rinayanti Manullang
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/qp33pp54

Abstract

The rapid development of information technology has increased the need for efficient and structured data management. Large amounts of data require systems that can organize, process, and access information quickly and accurately. One of the most widely used solutions in computer science is the tree data structure. This structure organizes data hierarchically, making searching, inserting, and deleting processes more efficient. This study aims to analyze the importance of tree data structures in managing computer data and compare their performance with other data structures such as arrays and linked lists. The research method used is a quantitative approach with descriptive-experimental methods through simulations of several data structures using different data sizes. The results show that binary search trees provide faster search performance compared to linear data structures, especially for large datasets. In addition, tree structures are highly effective for managing hierarchical data such as file systems and databases. Therefore, tree data structures are considered an important component in improving the efficiency of modern computer data management.
Implementasi Hak Akses User dalam Mencegah Kebocoran Data Jaringan Intan Sahyuni; Aura Chintiya Bella; Muhammad Rijal; Syaira Ramadhani; Eksyel Bongga Upa’; Suci Dian Azzahra; Ketrin Rinayanti Manullang
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/f98cap10

Abstract

Network security has become an important issue in the digital era due to the increasing use of data-based systems in various sectors. Many organizations store important information within computer networks, causing the risk of data leakage to increase significantly. One of the main causes of data leakage is poor user access management. This study aims to analyze the implementation of user access rights in preventing network data leakage through the application of Role-Based Access Control (RBAC) and Network Access Control (NAC). The research method used is a quantitative approach with descriptive-analytical methods and network system simulations. Research data were obtained through user access testing and network activity analysis. The results show that the implementation of RBAC can limit user access according to their duties and responsibilities, thereby reducing the risk of data misuse. In addition, the use of NAC helps the system validate devices that are allowed to access the network. The combination of these two methods has proven effective in improving network security and reducing the risk of data leakage significantly.