Cool! The Team of UMM Formulated a Road Detector System

Author : Humas | Monday, July 10, 2023 07:00 WIB

UMM students create Smart µ (Miu) Meter. (Photo: Special)

Based on the Korps Lalu Lintas Kepolisian Republik Indonesia (Korlantas Polri) data, at least 101.272 traffic accidents happened on roads. Besides driver factors and the vehicle, road conditions can cause traffic accidents because of its aged quality. Roads that are used continuously will cause a decrease in the quality of the roughness of the road surface.

Looking at this, a group of students from the Faculty of Engineering, University of Muhammadiyah Malang (UMM), created an innovation. It is a road surface roughness detection tool using the Internet of Things (IoT) system called Smart µ (Miu) Meter.

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One of the team members, Alifia Oriana, said the need for maintenance on road surfaces is essential to maintain road quality. "The lower the level of roughness on the road surface, the greater the possibility of vehicle accidents. Therefore, our goal in making this tool is to reduce the number of accidents," said Alifia.

Furthermore, the Civil Engineering Student conveyed how the Smart µ (Miu) Meter works by taking photos of parts of the road that look good and potholes. The photo results are sent via Bluetooth into the application and processed with image processing methods for maximum results. Interestingly, this tool, which is still being made and refined, has successfully received funding from the Kemdikbud-Ristek RI.

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"The use of the Internet of Things here is very important because it facilitates the process of transferring data through the network without requiring human-to-human or human-to-computer interaction. So this tool can be controlled remotely," Alifia explained.

Alifia added that during the process of making the tool, the only obstacle was the camera because they needed help finding a stable camera when capturing images. She explained that the device her team constructed only requires a little money but has a significant impact.

"This tool does not exist anywhere. If there are any results, I don't think it is accurate and is still operated manually. We made this tool with the advantage of detailed detection because it uses image analysis from photos taken by the camera," said Alifia.

Lastly, the student who originally came from Malang said that when her team made this tool, many people mocked and doubted it because it was considered useless. However, Alifia and her team took it all in stride. Alifia was assisted by Devita Intan Berliana and Safa Roja Nayakajati, who are Civil Engineering students; Riko Agung Permana from Mechanical Engineering; and Daniel Saputra Kosasih from Electrical Engineering.

"We also received direct support and guidance from our Civil Engineering lecturer, Ir. Andi Syaiful Amal, MT, IPM, ASEAN Eng. We hope that this tool can make it to the Pekan Ilmiah Mahasiswa Nasional (PIMNAS) (trans: National Student Scientific Week) and get a patent from the government," Alifia concluded. (put/*zak/wil)

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