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Ferdi Kuswandi
Universitas Insan Pembangunan Indonesia
Computer Science & IT

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KEAMANAN SIBER DALAM ERA INTERNET OF THINGS: TANTANGAN DAN SOLUSI TEKNOLOGI TERKINI Ferdi Kuswandi; Andi Rukmana; Adiyanto
Insan Pembangunan Sistem Informasi dan Komputer Vol. 13 No. 1 (2025): Jurnal Ipsikom
Publisher : LPPM UNIVERSITAS INSAN PEMBANGUNAN INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v13i1.417

Abstract

The rapid expansion of the Internet of Things (IoT) has transformed industries but also heightened cybersecurity vulnerabilities. Cyber threats, including ransomware, data breaches, and distributed denial-of-service (DDoS) attacks, increasingly jeopardize critical infrastructure. Traditional security methods, such as encryption and firewalls, often fail to counter evolving AI-driven threats. This study introduces an AI-based security model that integrates deep learning and federated learning for real-time IoT threat detection and mitigation. The proposed system employs a hybrid CNN-LSTM architecture to analyze network traffic, while federated learning enhances detection accuracy and ensures data privacy. Experimental results demonstrate 92% detection accuracy, 4.2% false positive rate, and latency under 50 ms, outperforming conventional rule-based systems. Additionally, integrating AI with IoT protocols like MQTT and CoAP optimizes processing for low-power devices. The study highlights regulatory challenges, as 73% of industrial organizations lack AI-driven security policies. The proposed framework aligns with NIST SP 800-82 and GDPR, ensuring scalable and adaptive industrial cybersecurity solutions. These findings contribute to developing AI-driven security strategies, providing a foundation for enhancing IoT resilience against evolving cyber threats.
OPTIMALISASI PENGELOLAAN DATA TANAH MENGGUNAKAN ARCGIS DI BADAN BANK TANAH Andi Rukmana; Angger Styo Yuniarti; Samsul Makin; Muhammad Arif Kurniawan; Ferdi Kuswandi
Insan Pembangunan Sistem Informasi dan Komputer Vol. 13 No. 1 (2025): Jurnal Ipsikom
Publisher : LPPM UNIVERSITAS INSAN PEMBANGUNAN INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v13i1.419

Abstract

Badan Bank Tanah, which is primarily engaged in the land sector, requires technology that can manage maps centrally and can be used collaboratively with both internal and external providers through service connections to support analysis and monitoring of HPL assets by related stakeholders based on the level of access provided. Currently, Badan Bank Tanah does not have a centralized GIS system, the process of creating shape files and map polygons is still carried out by each staff. This results in the information, database types, and data structures created being non-standard, and results in the shape file and map polygon databases being stored on each staff's work tools. The risk that can occur from this is the loss or misinformation needed, so that if needed, it takes time to prepare the data. The solution to the application being sought is software that has the capability to store data in a standardized manner, can be connected to external GIS applications through service methods, and is centralized so that the data can be stored in a secure environment
Co-Authors Adiyanto Andi Rukmana Andi Rukmana Angger Styo Yuniarti Muhammad Arif Kurniawan Samsul Makin