Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Komputer dan Teknologi (JUKOMTEK)
Wildan Jazuli
Universitas Mitra Bangsa
Computer Science & IT Library & Information Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
OPTIMASI KINERJA DATABASE MENGGUNAKAN TEKNIK INDEXING DAN CACHING Wildan Jazuli; Raka Hikmah Ramadhan; Robbi Kharisma Ar Rasyid
Jurnal Komputer dan Teknologi Vol 3 No 2 (2024): JUKOMTEK JULI 2024
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v3i2.683

Abstract

The database is a critical component of an information system, serving as the medium for data storage and management. As the volume of stored data increases, database performance may degrade due to longer response times when executing queries. Therefore, optimization techniques such as indexing and caching are required to improve data access efficiency. This article discusses the concepts, implementation, and benefits of indexing and caching techniques in optimizing database performance. The method used in this study is a quantitative experimental approach, which involves measuring query execution times before and after applying indexing and caching on a relational database system using MySQL and Redis.
PENINGKATAN AKURASI SISTEM REKOMENDASI PRODUK MENGGUNAKAN ALGORITMA ANT COLONY OPTIMIZATION Zaenuddin; Wildan Jazuli; Devi Wulandari; Rini Fath Marsya
Jurnal Komputer dan Teknologi Vol 3 No 2 (2024): JUKOMTEK JULI 2024
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v3i2.684

Abstract

Abstract: Product recommendation systems play a crucial role in helping users discover productsthat align with their preferences, particularly on e-commerce platforms. However, the mainchallenge lies in improving recommendation accuracy to ensure that the suggested items are trulyrelevant. This study proposes the application of the Ant Colony Optimization (ACO) algorithmto enhance the accuracy of recommendation systems. ACO is a metaheuristic algorithm inspiredby the behavior of ants in finding the shortest path to a food source, which is adapted here tosearch for optimal product combinations based on users’ interaction history. Experimental resultsshow that integrating ACO with a collaborative filtering-based approach improvesrecommendation accuracy by up to 34% compared to conventional methods. These findingscontribute to the development of more intelligent and adaptive recommendation systems.
ENHANCED RBAC DENGAN PENDEKATAN HIERARCHICAL DAN DOCUMENT LIFECYCLE PADA SISTEM MANAJEMEN DOKUMEN Wildan Jazuli; Zaenuddin Zaenuddin; Mochamad Budi Susanto
Jurnal Komputer dan Teknologi Vol 5 No 2 (2026): JUKOMTEK JULI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i2.674

Abstract

Access rights management in Document Management Systems (DMS) has become a critical challenge in organizations with complex and dynamic structures. Conventional Role-Based Access Control (RBAC) models have limitations in addressing access requirements that consider organizational hierarchy and changes in document status throughout its lifecycle. This study proposes an Enhanced RBAC model by integrating hierarchical roles and document lifecycle as a more adaptive and context-aware access control mechanism. The research method employs a prototyping approach with iterative development, along with quantitative evaluation through access scenario testing, performance measurement, and business process efficiency analysis. The evaluation is conducted using multiple scenarios representing various combinations of roles, hierarchical structures, and document states. The results indicate that the proposed model is able to reduce unauthorized access across all testing scenarios, improve approval process efficiency by 35%, and minimize access errors during testing. The main contribution of this study lies in the integration of hierarchical organizational structures and document states into the RBAC model, resulting in a more flexible, adaptive, and effective access control mechanism that meets the requirements of modern document management systems.
Co-Authors Devi Wulandari Mochamad Budi Susanto Raka Hikmah Ramadhan Rini Fath Marsya Robbi Kharisma Ar Rasyid Zaenuddin Zaenuddin Zaenuddin