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All Journal Faktor Exacta Journal of Innovative Food Technology and Agricultural Product
Sri Anita
Universitas Pertiwi
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Broken Acces Control pada Website: System Literature Review Sri Anita
Faktor Exacta Vol 18, No 2 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i2.27979

Abstract

Technological developments that make it easier for organizations to carry out their operations are no longer difficult, through websites organizations can display their reputation, products, services and achievements through websites that can be accessed by the public 24 hours a day. However, there is a threat that the more famous a website is, the more vulnerable it is to becoming a target for attacks. Broken Access Control is one of the causes of websites becoming victims of defacement attacks which can be detrimental both financially and reduce reputation. In this article we will discuss the causes of websites becoming infected with outbreaks, how to prevent them, and technological proposals that have implemented AI to prevent them. The method used in the research is the System Literature Review method which has been carried out by previous researchers who have successfully applied AI technology to prevent Broken Access Control attacks. The results obtained from the development of prevention technology are satisfactory with the success of detecting and rejecting 100% of the 10 simulated attacks. It is important to protect websites because it affects reputation, financial loss, violations regarding personal data protection, and damage to organizational operations which will have very detrimental impacts in the short, medium and long term.
Desain klasifikasi Cherri Kopi Menggunakan Metode k-Nearest Neighbor sri Anita; Sunu Aditya Mahadany; Widya Lelisa Army
Journal of Innovative Food Technology and Agricultural Product Vol 2 No 2 (2024) Desember : Journal of Innovative Food Technology and Agriculture Product
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jitap.v2i2.7410

Abstract

Perkembangan teknologi informasi saat ini sudah mempengaruhi disemua sektor industri, salah satu adalah pertanian. Dalam penelitian ini akan disajikan rujukan desain dalam melakukan penyortiran cherri kopi menggunakan metode artificial intelegence (AI) yaitu metode k-Nearest Neighbor. Hasil percobaan menunjukan tingkat keberhasilan dengan hasil yang cukup memuaskan yaitu 71.12%. Penghematan waktu yang dapat terukur. kata kunci: Klasifikasi cherri kopi, AI teknologi pangan, K-nearest Neighbor
Co-Authors Sunu Aditya Mahadany Widya Lelisa Army