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Nurlita Jami
Politeknik Negeri Sriwijaya
Computer Science & IT

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Desain dan Pengembangan Website untuk Mendeteksi Malware Menggunakan Framework Flask yang Diintegrasikan dengan Machine Learning Ciksadan Ciksadan; Sopian Soim; Nurlita Jami
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.42003

Abstract

One of the most widely used media for information dissemination is the website. A dynamic and informative website will make it easier for users to access information. Web development often requires complex technologies. One method that can simplify the development process is using the Flask framework, which offers flexibility and freedom to developers. A website must also have functionality to be useful; one current issue is the increasing number of malware file cases. Therefore, there is a need for a medium that can analyze a file. However, currently, there are limited services available for this purpose. This research aims to build a website that detects malware files using the Flask framework integrated with machine learning for malware file detection. Through this research, a website with five informative menus has been developed, featuring a dynamic and easily accessible interface with a malware file detection capability reaching 99% accuracy.
Co-Authors Ciksadan Ciksadan Sopian Soim, Sopian