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Nicholas Nicholas
Universitas Multi Data Palembang
Computer Science & IT Education Other

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ANALISIS PERKEMBANGAN ARTIFICIAL INTELLIGENCE DALAM SISTEM KESELAMATAN AKTIF KENDARAAN OTOMOTIF DI ERA MODERN Nicholas Nicholas; Nico Saputra; Dorie P. Kesuma
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/0xhvtr51

Abstract

The rapid development of Artificial Intelligence (AI) has significantly transformed the automotive industry, particularly in active vehicle safety systems. AI enables vehicles to perceive their environment, make decisions in real time, predict risks, and adapt safety features according to driver characteristics. This study aims to analyze the development of AI in active automotive safety systems, identify its primary roles, evaluate its impact on accident prevention, and examine the implementation challenges from technical, regulatory, and ethical perspectives. This research employs a qualitative descriptive approach using a literature review method. Data were collected from scientific journals, conference proceedings, international standards, dissertations, and preprint repositories related to AI-based automotive safety technologies. The findings indicate that AI has evolved from simple object detection systems into advanced technologies capable of driver cognitive state inference, predictive safety analysis, and autonomous decision-making. AI-based systems such as Automatic Emergency Braking (AEB), Adaptive Cruise Control (ACC), and Driver Monitoring Systems (DMS) have demonstrated significant contributions to reducing accident risks and injury severity. However, challenges remain regarding adverse weather conditions, mixed traffic environments, model uncertainty, certification frameworks, and ethical accountability. The study concludes that AI has substantial potential to improve road safety, but successful implementation requires robust technical development, adaptive regulations, and comprehensive safety assurance mechanisms.
PERANCANGAN ARSITEKTUR SISTEM FINGERPRINT MENGGUNAKAN TOGAF PADA PT RODA PRIMA PERKASA Dheren Harliana Halim; Nicholas Nicholas; Darren Hansen; Lionnell Julycell Huang; Wilbert Anderson; Dicky Pratama
Jurnal Riset Sistem Informasi Vol. 3 No. 2 (2026): April : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/2sgbhq48

Abstract

PT Roda Prima Perkasa has implemented a fingerprint-based attendance system; however, attendance data management remains suboptimal due to limited integration and manual recapitulation processes. This study aims to design a structured and integrated fingerprint attendance system architecture using The Open Group Architecture Framework (TOGAF). Data were collected through interviews, observations, and documentation studies of the existing system. The research methodology follows the stages of the TOGAF Architecture Development Method (ADM), including the Preliminary Phase, Architecture Vision, Business Architecture, Information Systems Architecture, and Technology Architecture. The results consist of a proposed fingerprint attendance system architecture covering business, application, data, and technology aspects, with centralized data management and the use of an Attendance Management System to support more effective attendance processing.
Co-Authors Darren Hansen Dheren Harliana Halim Dicky Pratama Dorie P. Kesuma Lionnell Julycell Huang Nico Saputra Wilbert Anderson