Muhammad Giriarda Abrari
Politeknik Manufaktur Bandung

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Peningkatan Kompetensi Digital Siswa Sekolah Menengah Atas Melalui Pelatihan Koding dan Kecerdasan Buatan: Program Bina Talenta Indonesia Ihsan Tanama Sitio; Danu Jaya Saputro; Muhammad Giriarda Abrari; Cepi Ramdani; Noer Fajrin
INTEGRATIF: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2026): INTEGRATIF: Jurnal Pengabdian Kepada Masyarakat
Publisher : Kilau Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60041/integratif.v4i1.474

Abstract

This community service program aimed to develop the potential of senior high school students in the fields of coding and artificial intelligence (AI). The hands-on training was conducted online via Zoom Meetings for synchronous sessions and an LMS for quizzes and exercises from September 15 to November 25, 2025. 60 senior high school students from 13 provinces across Indonesia participated and were divided into three classes. The results indicate that students’ knowledge increased substantially, as reflected in the improvement in mean test scores across all classes: from 54.87 to 83.13 in Class A, from 65.31 to 80.56 in Class B, and from 62.83 to 70.93 in Class C. The program demonstrated a significant positive impact, particularly in enhancing participants’ knowledge of artificial intelligence (AI) and coding, as well as their technical skills and character development.
Developing Algorithm for Security System in Smart Door Lock and Fire Extinguishing Spray System Utilizing the CtrlX Platform Yuliadi Erdani; Mochammad Naufal; Muhammad Giriarda Abrari; Herman Budi Harja; Achmad Sambas; Siti Aminah
Informatik : Jurnal Ilmu Komputer Vol 22 No 1 (2026): April 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i1.12293

Abstract

Industries face high risks from unauthorized access and fire hazards, necessitating reliable and responsive safety systems. This research presents the design and evaluation of an IIoT-based smart door lock and fire extinguishing system utilizing the CtrlX Automation platform. The system integrates RFID and fingerprint-based access control with temperature, gas, and flame sensors supported by edge-AI processing. Experimental results from 12 trials demonstrated an average fire detection time of 344.25 ms, smoke detection accuracy of 92.21%, sprinkler actuation delay of 515.58 ms, evacuation door unlocking time of 811.50 ms, and cloud log reliability of 99.70%, with a 14.42% reduction in false alarms. Extended scenarios using various fire sources (paper, plastic, oil), sensing distances (1–3 m), and environmental interferences (airflow, smoke particles) confirmed the robustness of the system. Communication security was validated using MQTT over TLS with AES encryption, resulting in a latency overhead of only 8 ms, while the IDS demonstrated 96.2% detection accuracy against simulated DoS attacks. These findings indicate that the proposed system achieves fast detection, high accuracy, and reliable communication compared to conventional systems, thereby enhancing industrial and smart building safety.