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All Journal ELINVO (Electronics, Informatics, and Vocational Education) Seminar Nasional Teknologi Informasi Komunikasi dan Industri INOVTEK POLBENG Minda Baharu SAINSTEK Proceeding Applied Business and Engineering Conference TANJAK : Jurnal Pengabdian Kepada Masyarakat
Muharnis Muharnis, Muharnis
Jurusan Teknik Elektro, Politeknik Negeri Bengkalis
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Journal : proceeding applied business and engineering conference

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Perbandingan Metode Haar Cascade, YoloV3, dan TinyYoloV3 Dalam Mendeteksi Kendaraan Bermotor Berbasis Video Marzuarman; Stephan; Muharnis; Azizul; Doni Mirza Rinaldi; Bagas Prasetyo
ABEC Indonesia Vol. 10 (2022): 10th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Abstract

Motorized vehicles are one of the most important needs in everyday life. Every year in Indonesia there is always an increase in the number of motorized vehicles along with the increase in population. Many researchers in the field of information technology use image processing systems to investigate and develop systems that can be used on public roads, one of which is to detect motor vehicles. In general, the methods that are often used to detect objects are Haar cascade, YOLOV3, and TinyYOLOV3. In this study, a comparison was made, to determine the best accuracy of the three methods in detecting motorized vehicles. The test was carried out using Python 3.10 software that has been installed with OpenCV, where the test was carried out using a video with a duration of 1 minute 23 seconds which was downloaded from the youtube.com site. Based on the test results, the YOLOV3 method gets the best level of accuracy, which is 74%. For the Haar cascade method, the accuracy value is 41%, and TinyYOLOV3 produces an accuracy rate of 25%.
PID Control of Main Maneuver for Three-Wheeled Omniwheel Robot Amri, Syaiful; Muharnis, Muharnis; Syah, Khairudin; Azizul, Azizul; Almubarok, Puja; M.Farhan
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

The maneuverability and precision of three-wheeled omniwheel robots are essential for effective navigation invarious environments. This study aims to implement a PID (Proportional-Integral-Derivative) control system on a threewheeled omniwheel robot using the arduino platform, with compass sensor data serving as the primary reference fororientation control. The omniwheel design allows the robot to move freely in any direction, making it suitable forapplications that require high flexibility and responsiveness. In this research, mathematical modeling of the robot'sdynamics was conducted to understand its behavior during movement. The PID control algorithm was implemented tomanage the speed and angular velocity of each wheel, utilizing feedback from the compass sensor to maintain the desiredheading and stability during maneuvers. The experimental setup involved various maneuver scenarios, including rapiddirection changes and navigation through complex paths. Results indicate that the integration of PID control withcompass data significantly enhances the stability and accuracy of the robot's maneuvers. The proposed control systemeffectively reduces heading error and improves response time, demonstrating its effectiveness in maintaining precisemovement under dynamic conditions. In conclusion, the combination of Arduino platform, PID control, and compassdata provides a robust solution for controlling the main maneuver of a three-wheeled omniwheel robot, particularly inapplications demanding high maneuverability and directional stability.
Co-Authors Abdul Hadi Adam Adam Afridon, M Agustiawan, Agustiawan Almubarok, Puja Ananda Nurfadhila Ariadi, Ariadi Aripriharta - Azima, Nur Azizul Azizul, Azizul Bagas Prasetyo Dian Ardiana Doni Afrianto Afrianto Doni Mirza Rinaldi Faizi, M Nur Hardi B. Hikmatul Amri Juhendri Sahendra Khairudin Syah Khairudinsyah, Khairudinsyah Lianda, Jefri Lianda, Jefri M.Farhan Mahfuz Shidiq Marzuarman, Marzuarman Nofa Mardianto Putra, Hari Rabiatul Adawiyah Ramadhan, Diva Razali Razali Reygi Juniansyah Sahendra, Juhendri Siti Ahadiah Stephan Sutrimo Sutrimo Suyono Hadi Syaiful Amri Wenny - Wahyuni Zulkifli