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Menampilkan 1–3 dari 3 artikel
Performance Analysis of the Fuzzing Method in Detecting API Vulnerabilities in Mobile Healthcare Application X Based on OWASP API Security Top 10
Hakim, Muhammad Ikhwanul
; Nugroho, Radityo Adi
; Nugrahadi, Dodon Turianto
; Herteno, Rudy
; Saputro, Setyo Wahyu
Telematika
Vol 19
, No 1
(2026)
Traditional perimeter security measures, such as Web Application Firewalls (WAFs) and static analysis, often fail to detect logic-based vulnerabilities in healthcare Application Programming Interfaces (APIs), creating significant risks for patient data confidentiality. Addressing the scarcity of empirical performance evaluations in this domain, this study employs a grey-box controlled experimental design to assess the effectiveness of automated HTTP fuzzing against a production-grade mobile heal...
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Functional Evaluation of the Logia Dashboard Using Boundary Value Testing and Cause-Effect Graph Techniques
Ramadhan, Muhammad Rizky Aulia
; Unversitas Lambung Mangkurat
; Abadi, Friska
; Universitas Lambung Mangkurat
; Nugrahadi, Dodon Turianto
; Universitas Lambung Mangkurat
; Saputro, Setyo Wahyu
; Universitas Lambung Mangkurat
; Herteno, Rudy
; Universitas Lambung Mangkurat
; Friska Abadi, Universitas Lambung Mangkurat
; Dodon Turianto Nugrahadi, , Universitas Lambung Mangkurat
; Setyo Wahyu Saputro, Universitas Lambung Mangkurat
; Rudy Herteno, Universitas Lambung Mangkurat
Telematika
Vol 18
, No 2
(2026)
The Logia Dashboard is a web-based information system used to manage rehabilitation plant data on post-mining land. As an alpha-stage system, Logia requires thorough functional and performance evaluation to ensure that all input validations, logical processes, and system responses operate correctly before wider implementation. This study aims to evaluate the functional reliability and performance of the Logia Dashboard by applying a combined approach of Boundary Value Testing (BVT) and Cause-Eff...
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Comparative Analysis of Distance Metrics in KNN and SMOTE Algorithms for Software Defect Prediction
Maulidha, Khusnul Rahmi
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Lambung Mangkurat University
; Saputro, Setyo Wahyu
; Lambung Mangkurat University
; Abadi, Friska
; Lambung Mangkurat University
; Nugrahadi, Dodon Turianto
; Lambung Mangkurat University
; Adi, Puput Dani Prasetyo
; National Research and Innovation Agency (Badan Riset dan Inovasi Nasional)
; Hariyady, Hariyady
; Universiti Malaysia Sabah
Telematika
Vol 18
, No 1
(2025)
As the complexity and scale of projects increase, new challenges arise related to handling software defects. One solution uses machine learning-based software defect prediction techniques, such as the K-Nearest Neighbors (KNN) algorithm. However, KNN’s performance can be hindered by the majority vote mechanism and the distance/similarity metric choice, especially when applied to imbalanced datasets. This research compares the effectiveness of Euclidean, Hamming, Cosine, and Canberra distance met...
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