Ni Putu Kayla Anandani, . (2026) PERANCANGAN SISTEM LOGIN WEBSITE BERBASIS ISO/IEC 27001 DENGAN DETEKSI AKTIVITAS MENCURIGAKAN MENGGUNAKAN KNN. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Login System Security Is A Crucial Component Of Web-Based Systems As It Serves As The Primary Gateway For Users To Access Information And Services. The Rising Number Of Data Breaches Caused By Credential Theft, Weak Passwords And Suspicious Login Activity Highlights The Need For More Adaptive Security Mechanisms. This Research Aims To Design A Website Login System Based On ISO/IEC 27001 Security Controls And To Implement The K-Nearest Neighbours (KNN) Algorithm To Detect Suspicious Login Activity Using The Rapid Application Development (RAD) Method. Several Security Controls Derived From ISO/IEC 27001 Have Been Implemented, Including Password Policies, Account Locking, Session Timeouts, User Activity Logging, IP Blocking, And Google Oauth Authentication. The KNN Algorithm Was Applied To A Dataset Of Simulated Login Activity. Test Results Show That The System Developed Is Capable Of Operating Effectively, As Confirmed By Black Box Testing. The KNN Model Achieved Its Best Performance At K=7, With An Accuracy Of 90.67 Per Cent, A Precision Of 90.41 Percent, And A Recall Of 90.41 Percent. Furthermore, The User Acceptance Testing (UAT) Evaluation Yielded An Average Score Of 91.3 Percent.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2210511002] [Pembimbing 1: Musthofa Galih Pradana] [Pembimbing 2: Nurul Afifah Arifuddin] [Penguji 1: Widya Cholil] [Penguji 2: Anis Fitri Nur Masruriyah] |
| Uncontrolled Keywords: | ISO/IEC 27001, K-Nearest Neighbors, login system security, machine learning, suspicious activity detection |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | NI PUTU KAYLA ANANDANI |
| Date Deposited: | 28 Aug 2026 04:40 |
| Last Modified: | 28 Aug 2026 04:40 |
| URI: | http://repository.upnvj.ac.id/id/eprint/52018 |
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