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All Journal JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
Febrian Kasmar, Andre
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics

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IMPLEMENTASI SISTEM KEAMANAN DAN HIGH AVAILABILITY PADA CLOUD SERVER MENGGUNAKAN AMAZON WEB SERVICES (AWS) Wahyuna, Wahyuna; Sukma, Fanni; Amalia, Sitti; Febrian Kasmar, Andre
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 13 No 1 (2025): TEKNOIF APRIL 2025
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2025.V13.1.40-47

Abstract

Service availability and security are critical aspects in web server management, particularly for educational institutions utilizing cloud-based technologies. This study aims to implement a high availability and security system on the SMKN 5 Padang web server using Amazon Web Services (AWS). The methods employed include load balancing using Elastic Load Balancing to evenly distribute workloads, Auto Scaling to dynamically adjust the number of instances based on traffic load, and Wazuh as a security monitoring system to detect and respond to cyber threats such as Denial of Service (DoS) attacks. System performance was evaluated through stress testing and security log analysis. The implementation results indicate that load balancing effectively optimizes network traffic distribution, Auto Scaling maintains service availability during traffic spikes, and Wazuh successfully detects and mitigates security threats in real time. The main contribution of this research is the enhancement of cloud-based web server architecture through a high availability and adaptive security approach, which can be adopted by other educational institutions. Future research is recommended to optimize the system using artificial intelligence to improve proactive cyber threat detection and response efficiency.  
Black-Box Testing pada Sistem Evaluasi Capaian Pembelajaran Berdasarkan Outcome Based Education Yulherniwati; Febrian Kasmar, Andre; Hadi, Ronal; Humaira; Asri, Ervan
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 2 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.2.279

Abstract

The implementation of outcome based education curriculla requires an evaluation system capable of objectively and systematically measuring the achievement of graduation learning outcomes (GLO). Therefore, comprehensive testing of the GLO evaluation system is essentially to ensure its reliability. This study designs functional testing using a black box-testing testing approach, employing techniques such as equivalence class partitioning, boundary value analysis and state transition testing. The test case design process follow the software testing process according to ISTQB, focusing on the initial three stages: planning, analysis and design. The findings indicate that this approach is effective in verifying the qualityof GLO evaluation system based on OBE. The resulting test case design can serve as a reference for subsequent testing stages, both manual and automated
Sistem Smart Door Lock Terintegrasi IoT dan Face Recognition Berbasis Edge Computing syawaldipa, ardi; Gaputra, Ideva; Febrian Kasmar, Andre; Eka Putra, Dian
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 6 No 2 (2026): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v6i2.1930

Abstract

Sistem keamanan pintu pengenalan wajah berbasis IOT saat ini sering mengalami latensi tinggi dan rentan gagal saat koneksi internet tidak stabil akibat pemrosesan data yang terpusat di cloud, sehingga memerlukan pemrosesan lokal (edge computing) agar respons otentikasi dan kendali jarak jauh menjadi lebih cepat dan real-time. Serta Penggunaan kunci Pintu fisik memiliki berbagai kelemahan, yaitu mudah hilang, rusak, atau diduplikasi. Oleh karena itu, Pada penelitian ini membahas rancangan dan implementasi edge computing sistem keamanan pintu dengan face recognition berbasis Internet of Things dengan kendali jarak jauh. Sistem ini menggunakan ESP32-CAM sebagai alat pengambil sampel wajah, NodeMCU ESP32 sebagai alat pengendali akuator, serta solenoid door lock sebagai mekanisme buka dan tutup pintu. Proses verifikasi wajah dilakukan secara lokal pada edge server menggunakan Python dan OpenCV tanpa menggunakan cloud, sehingga meningkatkan kecepatan respon dan keamanan data. Sistem ini juga dilengkapi dengan aplikasi Android sebagai kendali jarak jauh untuk membuka dan menutup pintu. Hasil pengujian menunjukkan sistem mampu mengenali wajah yang terdaftar dengan baik, mengontrol pintu secara otomatis, serta mengakses pintu dari jarak jauh. Sistem ini diharapkan dapat menjadi solusi keamanan pintu rumah yang lebih efektif, efisien dan modern.
Co-Authors Eka Putra, Dian Gaputra, Ideva humaira Ronal Hadi Sukma, Fanni Syawaldipa, Ardi Wahyuna, Wahyuna Yulherniwati