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Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

Motorized Driving Safety System Using Eye Detection Analysis Method Sumardi Sumardi; Sudarti Sudarti; Wahyu Muldayani; Arizal Mujibtamala Nanda Imron
Jurnal Penelitian Pendidikan IPA Vol. 8 No. 3 (2022): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v8i3.1747

Abstract

Traffic accident, particularly two-wheeled vehicles, is a problem for the Government, especially the Resort Police Traffic Unit (Satlantas Polres). The factor that causes the traffic accident incident is divided into three types, namely human factor, vehicle factor, and road or environment factor. The human factor is the most common factor for an accident. Fatigue factor that causes someone to feel sleepy while driving often results in a traffic accident. Based on the problem, the researcher wanted to create a technology innovation of a motorized driving safety system in the form of a helmet. The researcher made an innovation of a helmet that can detect drowsiness through the driver's eye blink duration. The drowsiness will be detected by using a camera sensor. The camera sensor used was Open MV camera. The method used in detecting sleepy drivers was the eye detection analysis method. The method enable detection based on the data of the duration of eye condition when it is closed and open. The closed eye has a low RBG mean value of 110-113 and an RBG median value of 99-109. Whereas opened eye has a higher RGB mean value of 179-206 and RGB median value of 178-206. The result of the research showed that someone's sleepy condition occurred when closing their eyes for more than 0.4 seconds to 4 seconds. The helmet is also equipped with GPS to monitor the position in the event of an accident as an emergency response effort.
Blind Cane Using 2 Axis Servo with Fuzzy Logic Method Sumardi Sumardi; Sudarti Sudarti; Arizal Mujibtamala Nanda Imron; Wahyu Muldayani
Jurnal Penelitian Pendidikan IPA Vol. 8 No. 3 (2022): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v8i3.1748

Abstract

Based on data from the Ministry of Health and the Central Bureau of Statistics, it is known that the number of people with disabilities, especially the visually impaired, is 1-1.5% of the total 237 million Indonesian population, which is around 3.75 million blind people. A tool often used to accommodate them is a cane used to feel the ground if there are downgrade and obstructions in front of them. In this study, researchers developed the previous research on blind cane using a 2 axis servo. It was classified using the Fuzzy Logic programming method, which was processed using the Arduino Nano 328P microcontroller. The results of the test on respondents with visual impairments were that they feel accommodating with the tool because the cane users can easily find obstructions with the Navigation Instruction so that they can easily avoid Static obstructions (Static Objects).