Manurung, Yohanes and Giap, Yo Ceng and Johari, Ma'mun A Tool Detects Violation Of Road Markings Using Ultrasonic Sensors Based On Internet Of Things. Bit-Tech, 2 (2). pp. 95-100. ISSN 2622-2728
|
Text (Jurnal)
admin,+05+Yohanes+(95-100).pdf - Published Version Download (338kB) |
|
|
Text (Turnitin)
admin,+05+Yohanes+(95-100) Turnitin.pdf - Other Download (448kB) |
Abstract
In our daily lives, of course we often see the number of motorbike or car vehicles that do not care about the traffic lights, even though the traffic is red, but there are always vehicles that stop or even slightly cross the white line that is specifically for pedestrians so that can pass when the traffic lights are red. Internet of Things (IoT) can connect devices to each other that are interconnected remotely and manage conditions that occur directly and can be controlled via a smart phone[6]. After analyzing the needs, the author will build a Tool to Detect Road Marking Violations Using the Internet-Based Ultrasonic Sensor on the grounds that all the components needed in building the tool already exist. Which is where the driver will be exposed to a photo if it crosses the marking line that has been provided on the highway. Because the concept of the internet of things involves tools with users to communicate. The composition of the algorithm, the author uses python which has become the default programming language raspbian operating system. Algortihm construction in the tool is a red light algorithm, an ultrasonic sensor algorithm, an image capture algorithm, and an algorithm for sending text and images via email. Traffic officers will be facilitated because the tool is in accordance with the traffic light seconds, can take pictures, and also officers are informed in the form of text and images.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Karya Umum > 004 Pemrosesan Data, Ilmu Komputer > 004.028 Alat Alat Perlengkapan Komputer |
| Divisions: | Fakultas Sains & Teknologi > Teknik Informatika |
| Depositing User: | Riki Tan |
| Date Deposited: | 10 Sep 2026 01:58 |
| Last Modified: | 10 Sep 2026 01:58 |
| URI: | https://repositori.buddhidharma.ac.id//id/eprint/3547 |
Actions (login required)
![]() |
View Item |

