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All Journal Jurnal Manajemen Informatika Journal of Renewable Energy, Electrical, and Computer Engineering
Khilda, Amanda Amelia
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Implementasi Knowledge Management Pelestarian dan Pengembangan Seni dan Budaya Tradisional Nurazza, Abdullah Fadli; Khilda, Amanda Amelia; Faris, Muhammad; Sugiarti, Yuni
Jurnal Manajemen Informatika JAMIKA Vol 15 No 1 (2025): Jurnal Manajemen Informatika (JAMIKA)
Publisher : Program Studi Manajemen Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jamika.v15i1.14529

Abstract

The preservation and development of traditional arts and culture are vital to maintaining the cultural identity of a nation. However, with rapid advancements in technology and modern times, efforts to preserve traditional arts and culture face challenges in terms of information accessibility, documentation, and intergenerational collaboration. This research aims to develop a web-based knowledge management system as a solution for preserving and advancing traditional arts and culture in Indonesia. The system was developed using the Rapid Application Development (RAD) methodology, which enables rapid and responsive system development tailored to user needs. RAD consists of several key stages: requirements planning, prototype design, iterative construction, and final implementation, involving direct user feedback to incrementally refine the system. System evaluation was conducted using surveys and interviews to gather feedback from users. The primary features of the system include digital documentation, information access, and user discussion forums designed to enhance public understanding and awareness of traditional arts and culture. The results of this research demonstrate that the web-based system can serve as an effective solution for documenting, managing, and disseminating information related to traditional arts and culture. With this system, broader intergenerational collaboration is expected to be achieved, further strengthening the role of society in preserving traditional arts and culture as an invaluable heritage
Systematic Literature Review: Implementation of Machine Learning for Intrusion Detection Khilda, Amanda Amelia; Rayhan, M. Shaquille; Amaliah, Annisa Rizki; Nurbojatmiko, Nurbojatmiko
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 2 (2025): September 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i2.20300

Abstract

The rapid development of information technology has an impact on the increasing threat to cyber security. One of the main threats is intrusion attacks that are increasingly complex and diverse. To solve this problem, machine learning-based Intrusion Detection System (IDS) is a promising solution due to its ability to detect threats automatically and efficiently. However, the large number of machine learning methods available poses a challenge in determining the best approach for various needs. This research aims to conduct a systematic literature review using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. This literature review identifies and categorises previous studies related to the application of machine learning in IDSs based on the problem addressed, proposed solution, research method, metric parameters, research object, and research results. The data for this research is taken from trusted sources, such as Google Scholar, IEEE, Elsevier, Springer, and MDPI. The results of this review are expected to provide a deeper understanding of the application of machine learning in IDS and provide direction for other researchers to fill the remaining research gaps.
Co-Authors Amaliah, Annisa Rizki Muhammad Faris, Muhammad Nurazza, Abdullah Fadli Nurbojatmiko Nurbojatmiko, Nurbojatmiko Rayhan, M. Shaquille Yuni Sugiarti, Yuni