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All Journal Jurnal Computech & Bisnis (e-Journal) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) JOINT (Journal of Information Technology Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Journal of Informatics and Communication Technology (JICT) Journal of Practical Computer Science (JPCS) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Tedc Jurnal Sistem Informasi dan Teknologi Informasi Journal of Informatics and Communication Technology (JICT) LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics
Rusdan, Muchamad
Universitas Teknologi Bandung
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary

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Approach to Zero Trust Security Implementation to Enhance Internet of Things Infrastructure Security Rusdan, Muchamad; Ramlan, Isak
LogicLink Vol. 2 No. 2, December 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v2i2.12634

Abstract

The heterogeneity and resource constraints of Internet of Things (IoT) devices render traditional perimeter security inadequate. This study proposes a Zero Trust Security (ZTS) framework for IoT infrastructures that integrates a novel dynamic policy engine with continuous authentication and AI-assisted anomaly detection. The framework was evaluated in a simulated IoT environment using the TON_IoT dataset. Experimental results demonstrate that the proposed model achieved a 92.5% detection accuracy, reduced average response latency to 1.76 seconds, and decreased unauthorized access attempts by 87.1%. The key novelty lies in the architecture's context-aware feedback loop, where anomaly findings directly and adaptively inform access policies in real-time, a mechanism not extensively explored in prior ZTS models for IoT. These findings confirm that integrating ZTS with intelligent analytics significantly enhances IoT security resilience. This framework offers a practical blueprint for implementing robust, context-aware security in large-scale IoT applications, such as smart cities and industrial automation.
PENGEMBANGAN KEAMANAN CYBER PADA CLOUD COMPUTING UNTUK USAHA KECIL DAN MENENGAH Muchamad Rusdan
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 3 (2019)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.475 KB) | DOI: 10.33197/jitter.vol5.iss3.2019.298

Abstract

Tujuan utama dari penelitian ini adalah untuk menguji strategi keamanan yang efektif untuk UKM pada teknologi cloud computing, dengan memeriksa ancaman keamanan untuk UKM, langkah-langkah mitigasi, dan strategi terbaik untuk keamanan yang efektif di lingkungan cloud computing. Cloud computing adalah paradigma yang relatif baru yang menghadirkan manfaat bisnis yang signifikan dan peluang yang sangat besar untuk usaha kecil dan menengah. Seiring berkembangnya teknologi informasi (TI), UKM perlu menemukan strategi yang efektif untuk memenuhi tuntutan bisnis. Namun, banyak UKM yang enggan mengadopsi teknologi cloud computing karena masalah keamanan, privasi, dan kepercayaan yang melekat, serta risiko regulasi dan implikasi kepatuhan. Penelitian terdahulu menunjukkan peningkatan jumlah serangan keamanan cyber yang menargetkan UKM di lingkungan cloud. Untuk mengatasi ancaman keamanan, ada kebutuhan untuk menetapkan praktik, standar, dan pedoman terbaik yang dapat diikuti oleh UKM. Penelitian ini membahas dua tujuan penelitian: (i) untuk mengidentifikasi ancaman keamanan dan tantangan yang dihadapi UKM di lingkungan cloud dan menentukan strategi mitigasi terbaik dan, (ii) untuk mengembangkan kerangka kerja strategi keamanan untuk UKM dalam konteks cloud computing. Kontribusi keseluruhan dari penelitian ini adalah model yang diusulkan, yang mengintegrasikan empat komponen strategis: Model Cloud, Model Keamanan, Model Kepatuhan, dan Komponen Keamanan Utama.
AIoT-Enabled Automatic Waste Sorting System with Real-Time WhatsApp Notifications Muchamad Rusdan; Sri Kuswayati
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 3, August 2026 (Article in Progress)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i3.2593

Abstract

The waste management crisis, particularly in educational institutions, requires innovative solutions that combine artificial intelligence and automation. This research develops and evaluates an automated waste sorting system based on Artificial Intelligence of Things (AIoT) integrated with WhatsApp notifications. The system utilizes the EfficientNet-B0 deep learning model optimized with transfer learning and runs on a Raspberry Pi 4 edge device to classify waste into five categories: plastic, paper, metal, glass, and organic in real time. Classification results are translated into physical actions by a servo actuator mechanism, while ultrasonic sensors monitor trash bin capacity. The real-time notification system via WhatsApp API sends alerts to administrators. A 30-day evaluation on campus showed that the system achieved 92.3% classification accuracy with an inference latency of 1.8 seconds. The mechanical system successfully sorted waste with a 94.5% success rate, and WhatsApp notifications had a 99.1% delivery rate, with an average administrator response time of 8.2 minutes during operational hours. A comparative analysis demonstrated that this system increased sorting efficiency by 87% and reduced operational costs by 45% compared to manual waste sorting methods. These findings conclude that the proposed integration of edge AI, mechanics, and WhatsApp notifications creates a smart waste management solution that is not only effective and real-time but also practical, economical, and sustainable for wider implementation.
Co-Authors Agustina, Nova Imam Yunianto Kurniawan Kuswayati, Sri Mokhamad Hendayun Muhamad Sabar Muhamad Sabar Ramlan, Isak Sabar, Muhamad Siti Nurhasanah Sri Kuswayati