Joewono Prasetijo
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Accident Prediction based on Integrated Design Consistency with the Lower Number of Vehicles/Traffic Volumes (due to Health Disaster/COVID-19) Joewono Prasetijo; Guohui Zhang; Muhammad Isradi; Zaffan Farhana Zainal; Wan Zahidah Musa; M Ikhsan Setiawan
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 3 No 3 (2020): September 2020
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (872.847 KB) | DOI: 10.29138/ijebd.v3i3.1112

Abstract

Purpose: Malaysia is one of the developing countries that facing high road accident in Asia. The most common accident happens is between motorcyclist and cars. A motorcyclist is 17 times more dangerous than passenger cars. Analysis shows the three main types of accidents in Malaysia is collision with passenger cars, collisions with other motorcycles and single-motorcycle accidents. Road accidents keep rising in Malaysia, because lacks of road geometric design consistency where the drivers make mistakes errors due to the road geometric features. Design/methodology/approach: The study was conducted at F0050 from km 21 until km 25. By using GPS (DG -200), the continuous speed profile data were using new analysis method to develop road design consistency profile of motorcycle and cars and determined the value of the index the integrated road design consistency (IC). Findings: The developments of consistency model are based on parameter: the bounded area between the profile and the average speed, standard deviation of speed along a segment. Hence, use ACAD software for develops consistency model’s profile. The integrated-consistency model is the impact of the speed profile on design consistency in traffic and safety evaluations. The highest areas of an accident at km 24 are justified based on the design consistency of the area and integrated design consistency model between of car and motorcycle is poor design. The study shows that crashes and fatalities are fully effected by traffic volumes but road design performances and driving behavior. Research limitations/implications: However, the traffic volumes are relatively low in the whole country regarding to the Movement Control Order (MCO) due to the pandemic COVID-19 since March 2020. In contrast to the reduction of the volumes, the number of crashes still shows relatively high. Therefore, it shows that crashes and fatalities are influenced by other factors. Geometric factors such as access point, tangent length, curve length, shoulder width, and lane width are influencing an operating speed profile for developed tangents and curves of motorcycle and cars. Practical implications: The result of this study can be used as references to solve accident problems in Malaysia. Paper type: This study is categorized as a case study.
Penerapan Internet of Things Untuk Rancang Bangun Pengukuran Tingkat Kebisingan pada Sarana Perkeretaapian Teguh Arifianto; Santi Triwijaya; Ditya Nurma Paulina; Sunardi; Andrew Joewono; Joewono Prasetijo
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 3 No. 3 (2023): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v3i3.2756

Abstract

Noise is an unexpected sound from business or activity at a certain level and time, which can cause reduced comfort. The causes of noise can be grouped based on the sound and noise spectrums. However, in general, noise sources come from traffic, industrial, aeroplane, and train activities. When the wheels scuff up against the rail surface, a train operates, producing noise. In this research, a design was created to monitor the noise level produced by railway facilities. This system is made using main components such as arduino uno, DFR0034 sound sensor, SIM800L, and other supporting components. The system is designed to be able to monitor and display data on the noise values that occur. The system is designed based on the internet of things so that it can display data automatically on the computer. Data can be accessed using thingspeak via SIM800L as an internet source, making it easy to observe and measure noise. This design testing was carried out using light rail transit trains, inspection trains, and lorries. Noise levels in trains range from 70 dB to 80 dB. If more than 80 dB is detected, the cause of the noise can be checked to maintain the comfort and safety of passengers and avoid more serious damage if damage is found to the facilities.