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The Effect Of Vibration On User Comfort In Motor Vehicles pratama, yuki alvandi; munif, moh. abdul; delpero, M arif; siallagan, rama roki; Hasibuan, Fardin
METALOGRAM Metalogram Vol.02 No.01 (December,2025)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mtlg.v2i1.7972

Abstract

Vibration is an unavoidable physical phenomenon in motor vehicle operation and is a dominant factor affecting user comfort. Excessive and prolonged exposure to vibration can trigger various negative responses in humans, ranging from fatigue and physiological discomfort to long-term health risks such as musculoskeletal and neurological disorders. This paper presents a comprehensive review of the effects of vibration on the comfort of motor vehicle users. The discussion includes the identification of vibration sources (internal and external), the mechanisms of vibration transmission through the vehicle structure, and the biomechanical response of the human body to whole-body vibration (WBV). In addition, this paper reviews vibration measurement and analysis methods based on international standards, analyzes the physiological and psychological impacts of vibration, and discusses vibration mitigation strategies applied in modern vehicle design, including passive, semi-active, and active suspension systems, as well as ergonomic seat design. Case studies of mitigation technology applications are also included to provide a practical overview. Finally, this paper identifies existing challenges and future research directions in an effort to improve vehicle user comfort and well-being.
Pembuatan alat pendeteksi dan pengusir monyet secara otomatis di areal pertanian Desa Sugie Kabupaten Karimun Fernando, Wahyu; Hasibuan, Fardin; Irsyam, Muhammad; Kurniawan, Harry; Syaputra, Muhammad Lyan; Delpero, M Arif; Supriyadi, Supriyadi
Riau Journal of Empowerment Vol 8 No 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/raje.8.1.25-34

Abstract

An automatic monkey detection and repellent system based on a Convolutional Neural Network (CNN) and a Raspberry Pi was developed to address crop damage caused by monkeys in Sugie Village, Karimun district. The system uses a webcam to detect monkeys within a radius of up to 50 meters and emits gunshot sounds audible up to 200 meters to automatically repel them. Solar panels power the system because the area has access to electricity only at night. The implementation of this device yielded significant results, reducing crop damage from an average of 9 damaged plants per visit to only 3, equivalent to a 66.7% decrease. Additionally, the solar panels provided lighting for the agricultural area, improving security and accessibility at night by 100%. This technology offers an effective and efficient solution compared to manual methods, which require constant monitoring. The project leverages modern innovation relevant to local needs by integrating renewable energy with image-based detection technology. This project has the potential to be replicated in other regions facing similar issues, supporting food security and improving rural communities.